21.10.6 Medical Applications -- Blood Vessels, Arteries, Veins, Vascular

Chapter Contents (Back)
Blood Vessels. Arterial Network. Vascular Tree. Vessel Tree.
See also Aneurysms -- Vascular Analysis.
See also Medical Applications -- Aorta, Aortic Analysis.

The Vascular Modeling Toolkit,
2016
WWW Link. Code, Vascular tree. 1611

Nekovei, R., Sun, Y.,
Backpropagation Network and Its Configuration for Blood-Vessel Detection In Angiograms,
TNN(6), No. 1, January 1995, pp. 64-72. BibRef 9501

Smets, C., Verbeeck, G., Suetens, P., Oosterlinck, A.,
A Knowledge-Based System for the Delineation of Blood Vessels on Subtraction Angiograms,
PRL(8), 1988, pp. 113-121. BibRef 8800

Stevenson, D.J.,
Working Towards the Automatic Detection of Blood Vessels in X-Ray Angiograms,
PRL(6), 1987, pp. 107-112. BibRef 8700

Wick, C.E., Loew, M.H., Kurantsin-Mills, J.,
Understanding Microvessels in Two and Three Dimensions,
HPRCV97(Chapter III:8). BibRef 9700
Earlier:
Using modeling and fuzzy logic to detect and track microvessels in conjunctiva images,
WACV94(114-120).
IEEE Abstract. 0403
BibRef

Williams, J.P., Wolff, L.B.,
Analysis of the Pulmonary Vascular Tree Using Differential Geometry Based Vector-Fields,
CVIU(65), No. 2, February 1997, pp. 226-236.
DOI Link 9704
BibRef

Pisupati, C.V., Williams, J.P., Wolff, L.B.,
Geometric Analysis of Volume Images of the Bronchial and Vascular Trees,
ARPA96(1149-1154). BibRef 9600

Pisupati, C.V., Wolff, L.B., Mitzner, W., and Zerhouni, E.,
Corresponding 3D Pulmonary Tree Structures,
MMBIA96(MEDIAL AXES) BibRef 9600
Earlier:
A Central Axis Algorithm for 3D Bronchial Tree Structures,
SCV95(259-264).
IEEE DOI MAT, Three dimensional. Johns Hopkins University. BibRef

Wink, O.[Onno], Niessen, W.J.[Wiro J.], Viergever, M.A.[Max A.],
Fast delineation and visualization of vessels in 3-D angiographic images,
MedImg(19), No. 4, April 2000, pp. 337-346.
IEEE Top Reference. 0110
BibRef

Wink, O.[Onno], Niessen, W.J.[Wiro J.], Viergever, M.A.[Max A.],
Multiscale Vessel Tracking,
MedImg(23), No. 1, January 2004, pp. 130-133.
IEEE Abstract. 0403
BibRef
Earlier:
Minimum Cost Path Determination Using a Simple Heuristic Function,
ICPR00(Vol III: 998-1001).
IEEE DOI 0009
Finding structures in medical images. BibRef

Quek, F.K.H., Kirbas, C.,
Vessel extraction in medical images by wave-propagation and traceback,
MedImg(20), No. 2, February 2001, pp. 117-131.
IEEE Top Reference. 0110
BibRef

Wan, S.Y.[Shu-Yen], Kiraly, A.P., Ritman, E.L., Higgins, W.E.,
Extraction of the hepatic vasculature in rats using 3-D micro-CT images,
MedImg(19), No. 9, September 2000, pp. 964-971.
IEEE Top Reference. 0110
BibRef

Liang, Q.[Quan], Wendelhag, I., Wikstrand, J., Gustavsson, T.,
A multiscale dynamic programming procedure for boundary detection in ultrasonic artery images,
MedImg(19), No. 2, February 2000, pp. 127-142.
IEEE Top Reference. 0110
BibRef

Klingensmith, J.D., Shekhar, R., Vince, D.G.,
Evaluation of three-dimensional segmentation algorithms for the identification of luminal and medial-adventitial borders in intravascular ultrasound images,
MedImg(19), No. 10, October 2000, pp. 996-1011.
IEEE Top Reference. 0110
BibRef

Jones, B.F., Oral, M., Morris, C.W., Ring, E.F.J.,
A proposed taxonomy for nailfold capillaries based on their morphology,
MedImg(20), No. 4, April 2001, pp. 333-341.
IEEE Top Reference. 0110
BibRef

Aylward, S.R., Bullitt, E.,
Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction,
MedImg(21), No. 2, February 2002, pp. 61-75.
IEEE Top Reference. 0204
BibRef

Konings, M.K., Mali, W.P.T.M., Viergever, M.A.,
Development of an intravascular impedance catheter for detection of fatty lesions in arteries,
MedImg(16), No. 4, August 1997, pp. 439-446.
IEEE Top Reference. 0205
BibRef

Sonka, M., Reddy, G.K., Winniford, M.D., Collins, S.M.,
Adaptive approach to accurate analysis of small-diameter vessels in cineangiograms,
MedImg(16), No. 1, February 1997, pp. 87-95.
IEEE Top Reference. 0205
BibRef

Sorantin, E., Halmai, C., Erdohelyi, B., Palagyi, K., Nyul, L.G., Olle, K., Geiger, B., Lindbichler, F., Friedrich, G., Kiesler, K.,
Spiral-CT-based assessment of tracheal stenoses using 3-D-skeletonization,
MedImg(21), No. 3, March 2002, pp. 263-273.
IEEE Top Reference. 0205
BibRef

Dudasne Nagy, M., Mate, E., Kari, B.,
Mathematical generation of normal data for evaluating myocardial perfusion studies,
MedImg(21), No. 11, November 2002, pp. 1358-1365.
IEEE Top Reference. 0301
BibRef

Krissian, K.,
Flux-based anisotropic diffusion applied to enhancement of 3-D angiogram,
MedImg(21), No. 11, November 2002, pp. 1440-1442.
IEEE Top Reference. 0301

See also Noise-Driven Anisotropic Diffusion Filtering of MRI. BibRef

Demongeot, J., Bezy-Wendling, J., Mattes, J., Haigron, P., Glade, N., Coatrieux, J.L.,
Multiscale modeling and imaging: the challenges of biocomplexity,
PIEEE(91), No. 10, October 2003, pp. 1723-1737.
IEEE DOI 0310
BibRef

Kretowski, M., Rolland, Y., Bezy-Wendling, J., Coatrieux, J.L.,
Physiologically based modeling of 3-D vascular networks and CT scan angiography,
MedImg(22), No. 2, February 2003, pp. 248-257.
IEEE Top Reference. 0304
BibRef

Yim, P.J.[Peter J.], Kayton, M.[Mark], Miller, W.[Walter], Libutti, S.[Steven], Choyke, P.L.[Peter L.],
Automated detection of blood vessels using dynamic programming,
PRL(24), No. 14, October 2003, pp. 2471-2478.
Elsevier DOI 0307
BibRef

Yim, P.J., Boudewijn, G., Vasbinder, C., Ho, V.B., Choyke, P.L.,
Isosurfaces as deformable models for magnetic resonance angiography,
MedImg(22), No. 7, July 2003, pp. 875-881.
IEEE Abstract. 0308
BibRef

van Bemmel, C.M., Spreeuwers, L.J., Viergever, M.A., Niessen, W.J.,
Level-set-based artery-vein separation in blood pool agent CE-MR angiograms,
MedImg(22), No. 10, October 2003, pp. 1224-1234.
IEEE Abstract. 0310
BibRef

Baert, S.A.M., van de Kraats, E.B., van Walsum, T., Viergever, M.A., Niessen, W.J.,
Three-dimensional guide-wire reconstruction from biplane image sequences for integrated display in 3-d vasculature,
MedImg(22), No. 10, October 2003, pp. 1252-1258.
IEEE Abstract. 0310
BibRef

van Walsum, T., Baert, S.A.M., Niessen, W.J.,
Guide Wire Reconstruction and Visualization in 3DRA Using Monoplane Fluoroscopic Imaging,
MedImg(24), No. 5, May 2005, pp. 612-623.
IEEE Abstract. 0505
BibRef

Aylward, S.R.[Stephen R.], Jomier, J.[Julien], Weeks, S.[Sue], Bullitt, E.[Elizabeth],
Registration and Analysis of Vascular Images,
IJCV(55), No. 2-3, November-December 2003, pp. 123-138.
DOI Link 0310
BibRef

Antiga, L., Steinman, D.A.,
Robust and Objective Decomposition and Mapping of Bifurcating Vessels,
MedImg(23), No. 6, June 2004, pp. 704-713.
IEEE Abstract. 0406
BibRef

Chen, J., Amini, A.A.,
Quantifying 3-D Vascular Structures in MRA Images Using Hybrid PDE and Geometric Deformable Models,
MedImg(23), No. 10, October 2004, pp. 1251-1262.
IEEE Abstract. 0410
BibRef

Haigron, P., Bellemare, M.E., Acosta, O., Goksu, C., Kulik, C., Rioual, K., Lucas, A.,
Depth-Map-Based Scene Analysis for Active Navigation in Virtual Angioscopy,
MedImg(23), No. 11, November 2004, pp. 1380-1390.
IEEE Abstract. 0411
BibRef

Zhao, Y.Q.[Yong-Qiang], Li, M.L.[Ming-Lu],
A Hybrid Method for Vascular Segmentation,
IEICE(E88-D), No. 6, June 2005, pp. 1304-1305.
DOI Link 0506
BibRef
Earlier:
Isosurface-Based Level Set Framework for MRA Segmentation,
ICIAR04(II: 116-123).
Springer DOI 0409
BibRef

Zhu, L., Haker, S., Tannenbaum, A.,
Flattening Maps for the Visualization of Multibranched Vessels,
MedImg(24), No. 2, February 2005, pp. 191-198.
IEEE Abstract. 0501

See also On the Laplace-Beltrami operator and brain surface flattening.
See also Nondistorting flattening maps and the 3-D visualization of colon CT images. BibRef

Zhu, L.[Lei], Haker, S., Tannenbaum, A., Bouix, S., Siddiqi, K.,
Angle-preserving mappings for the visualization of multi-branched vessels,
ICIP02(II: 945-948).
IEEE DOI 0210
BibRef

Pichon, E., Tannenbaum, A., and Kikinis, R.,
A statistically based flow for image segmentation,
MIA(8), No. 3, September 2004, pp. 267-274. BibRef 0409

Niethammer, M., Pichon, E., Tannenbaum, A., Mucha, P.J.,
A stokes flow boundary integral measurement of tubular structure cross sections in two dimensions,
ICIP03(I: 825-828).
IEEE DOI 0312
Tubular structures. Cross Sections. BibRef

Niethammer, M., Stein, A.N., Kalles, W.D., Pilarczyk, P., Mischaikow, K., Tannenbaum, A.,
Analysis of blood vessel topology by cubical homology,
ICIP02(II: 969-972).
IEEE DOI 0210
BibRef

Oeltze, S., Preim, B.,
Visualization of Vasculature With Convolution Surfaces: Method, Validation and Evaluation,
MedImg(24), No. 4, April 2005, pp. 540-548.
IEEE Abstract. 0501
BibRef

Niemisto, A., Dunmire, V., Yli-Harja, O., Zhang, W., Shmulevich, I.,
Robust Quantification of In Vitro Angiogenesis Through Image Analysis,
MedImg(24), No. 4, April 2005, pp. 549-553.
IEEE Abstract. 0501
BibRef

Abdul-Karim, M.A., Roysam, B., Dowell-Mesfin, N.M., Jeromin, A., Yuksel, M., Kalyanaraman, S.,
Automatic Selection of Parameters for Vessel/Neurite Segmentation Algorithms,
IP(14), No. 9, September 2005, pp. 1338-1350.
IEEE DOI 0509
BibRef

Tyrrell, J.A., di Tomaso, E., Fuja, D., Tong, R., Kozak, K., Jain, R.K., Roysam, B.,
Robust 3-D Modeling of Vasculature Imagery Using Superellipsoids,
MedImg(26), No. 2, February 2007, pp. 223-237.
IEEE DOI 0702
BibRef

Narayanaswamy, A., Dwarakapuram, S., Bjornsson, C.S., Cutler, B.M., Shain, W., Roysam, B.,
Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation,
MedImg(29), No. 3, March 2010, pp. 583-597.
IEEE DOI 1003
BibRef

Wang, Y.[Yu], Narayanaswamy, A.[Arunachalam], Roysam, B.[Badrinath],
Novel 4-D Open-Curve Active Contour and curve completion approach for automated tree structure extraction,
CVPR11(1105-1112).
IEEE DOI 1106
BibRef

Bouma, H.[Henri], Vilanova, A.[Anna], van Vliet, L.J.[Lucas J.], Gerritsen, F.A.[Frans A.],
Correction for the Dislocation of Curved Surfaces Caused by the PSF in 2D and 3D CT Images,
PAMI(27), No. 9, September 2005, pp. 1501-1507.
IEEE DOI 0508
Due to bluring (PSF) the edge is mis located. Use isophote curvature. BibRef

Szpala, S., Wierzbicki, M., Guiraudon, G., Peters, T.M.,
Real-Time Fusion of Endoscopic Views With Dynamic 3-D Cardiac Images: A Phantom Study,
MedImg(24), No. 9, September 2005, pp. 1207-1215.
IEEE DOI 0509
BibRef

Felipe-Riverón, E.M.[Edgardo Manuel], Castellanos-Bisset, I.[Ingrid], Sánchez-Cuello, L.[Leudis],
Segmentation of tiny objects in very poor-quality angiogenesis images,
PRL(26), No. 16, December 2005, pp. 2579-2587.
Elsevier DOI 0512
BibRef

Holtzman-Gazit, M., Kimmel, R., Peled, N., Goldsher, D.,
Segmentation of Thin Structures in Volumetric Medical Images,
IP(15), No. 2, February 2006, pp. 354-363.
IEEE DOI 0602
Edge alignment and homogeneity terms in the segmentation of blood vessels and vascular trees. BibRef

Auer, M., Stollberger, R., Regitnig, P., Ebner, F., Holzapfel, G.A.,
3-D reconstruction of tissue components for atherosclerotic human arteries using ex vivo high-resolution MRI,
MedImg(25), No. 3, March 2006, pp. 345-357.
IEEE DOI 0604
BibRef

Cardinal, M.H.R., Meunier, J., Soulez, G., Maurice, R.L., Therasse, E., Cloutier, G.,
Intravascular Ultrasound Image Segmentation: A Three-Dimensional Fast-Marching Method Based on Gray Level Distributions,
MedImg(25), No. 5, May 2006, pp. 590-601.
IEEE DOI 0605
BibRef

Yi, J.[Jaeyoun], Ra, J.B.[Jong Beom],
A locally adaptive region growing algorithm for vascular segmentation,
IJIST(13), No. 4, 2003, pp. 208-214.
DOI Link 0312
BibRef

Rojo-Rojo, J.L., Bermejo, J., Juarez-Caballero, V.M., Yotti, R., Cortina, C., Garcia-Fernandez, M.A., Antoranz, J.C.,
Support Vector Analysis of Color-Doppler Images: A New Approach for Estimating Indices of Left Ventricular Function,
MedImg(25), No. 8, August 2006, pp. 1037-1043.
IEEE DOI 0608
BibRef

Fouard, C., Malandain, G., Prohaska, S., Westerhoff, M.,
Blockwise Processing Applied to Brain Microvascular Network Study,
MedImg(25), No. 10, October 2006, pp. 1319-1328.
IEEE DOI 0609
BibRef

Alderliesten, T., Bosman, P.A.N., Niessen, W.J.,
Towards a Real-Time Minimally-Invasive Vascular Intervention Simulation System,
MedImg(26), No. 1, January 2007, pp. 128-132.
IEEE DOI 0701
BibRef

Gemignani, V., Faita, F., Ghiadoni, L., Poggianti, E., Demi, M.,
A System for Real-Time Measurement of the Brachial Artery Diameter in B-Mode Ultrasound Images,
MedImg(26), No. 3, March 2007, pp. 393-404.
IEEE DOI 0703
BibRef

Manniesing, R., Viergever, M.A., Niessen, W.J.,
Vessel Axis Tracking Using Topology Constrained Surface Evolution,
MedImg(26), No. 3, March 2007, pp. 309-316.
IEEE DOI 0703
BibRef

Rollano-Hijarrubia, E., Manniesing, R., Niessen, W.J.,
Selective Deblurring for Improved Calcification Visualization and Quantification in Carotid CT Angiography: Validation Using Micro-CT,
MedImg(28), No. 3, March 2009, pp. 446-453.
IEEE DOI 0903
BibRef

Guerrero, J., Salcudean, S.E., McEwen, J.A., Masri, B.A., Nicolaou, S.,
Real-Time Vessel Segmentation and Tracking for Ultrasound Imaging Applications,
MedImg(26), No. 8, August 2007, pp. 1079-1090.
IEEE DOI 0709
BibRef

Winter, K., Metz, L.H.W., Kuska, J.P., Frerich, B.,
Characteristic Quantities of Microvascular Structures in CLSM Volume Datasets,
MedImg(26), No. 8, August 2007, pp. 1103-1114.
IEEE DOI 0709
BibRef

Li, H.[Hua], Yezzi, A.J.[Anthony J.],
Vessels as 4-D Curves: Global Minimal 4-D Paths to Extract 3-D Tubular Surfaces and Centerlines,
MedImg(26), No. 9, September 2007, pp. 1213-1223.
IEEE DOI 0710
BibRef
Earlier:
Vessels as 4D Curves: Global Minimal 4D Paths to Extract 3D Tubular Surfaces,
MMBIA06(82).
IEEE DOI 0609
BibRef

Bekkers, E.J., Taylor, C.A.,
Multiscale Vascular Surface Model Generation From Medical Imaging Data Using Hierarchical Features,
MedImg(27), No. 3, March 2008, pp. 331-341.
IEEE DOI 0803
BibRef

Risser, L., Plouraboue, F., Descombes, X.,
Gap Filling of 3-D Microvascular Networks by Tensor Voting,
MedImg(27), No. 5, May 2008, pp. 674-687.
IEEE DOI 0711
BibRef

Cai, W.L.[Wen-Li], Harris, G.J.[Gordon J.], Yoshida, H.[Hiroyuki],
Computation Of Vesselness in CTA Images for Fast And Interactive Vessel Segmentation,
IJIG(7), No. 1, January 2007, pp. 159-176. 0701
BibRef

Heng, P.A.[Pheng-Ann], Sun, H.Q.[Han-Qiu], Chen, K.W.[Kwong-Wai], Wong, T.T.[Tien-Tsin],
Interactive Navigation Of Virtual Vessel Tracking With 3d Intelligent Scissors,
IJIG(1), No. 2, April 2001, pp. 273-285. 0104
BibRef

Gooya, A., Liao, H., Matsumiya, K., Masamune, K., Masutani, Y., Dohi, T.,
A Variational Method for Geometric Regularization of Vascular Segmentation in Medical Images,
IP(17), No. 8, August 2008, pp. 1295-1312.
IEEE DOI 0808
BibRef

Truc, P.T.H.[Phan T.H.], Khan, M.A.U., Lee, Y.K.[Young-Koo], Lee, S.Y.[Sung-Young], Kim, T.S.[Tae-Seong],
Vessel enhancement filter using directional filter bank,
CVIU(113), No. 1, January 2009, pp. 101-112.
Elsevier DOI 0812
Vessel enhancement filter; Directional filter bank; Medical imaging; Angiography images BibRef

Fandrey, S., Weiss, S., Muller, J.,
Development of an Active Intravascular MR Device With an Optical Transmission System,
MedImg(27), No. 12, December 2008, pp. 1723-1727.
IEEE DOI 0812
BibRef

Zou, P., Chan, P., Rockett, P.,
A Model-Based Consecutive Scanline Tracking Method for Extracting Vascular Networks From 2-D Digital Subtraction Angiograms,
MedImg(28), No. 2, February 2009, pp. 241-249.
IEEE DOI 0902
BibRef

Kang, D.G., Suh, D.C., Ra, J.B.,
Three-Dimensional Blood Vessel Quantification via Centerline Deformation,
MedImg(28), No. 3, March 2009, pp. 405-414.
IEEE DOI 0903
BibRef

Akbari, H.[Hamed], Kosugi, Y.[Yukio], Kojima, K.[Kazuyuki],
Segmentation of Arteries in Minimally Invasive Surgery Using Change Detection,
IEICE(E92-D), No. 3, March 2009, pp. 498-505.
WWW Link. 0907
BibRef

Bitton, R., Zemp, R., Yen, J., Wang, L.V., Shung, K.K.,
A 3-D High-Frequency Array Based 16 Channel Photoacoustic Microscopy System for In Vivo Micro-Vascular Imaging,
MedImg(28), No. 8, August 2009, pp. 1190-1197.
IEEE DOI 0909
BibRef

Saha, P.K., Gao, Z., Alford, S.K., Sonka, M., Hoffman, E.A.,
Topomorphologic Separation of Fused Isointensity Objects via Multiscale Opening: Separating Arteries and Veins in 3-D Pulmonary CT,
MedImg(29), No. 3, March 2010, pp. 840-851.
IEEE DOI 1003
BibRef

Lathen, G.[Gunnar], Jonasson, J.[Jimmy], Borga, M.[Magnus],
Blood vessel segmentation using multi-scale quadrature filtering,
PRL(31), No. 8, 1 June 2010, pp. 762-767.
Elsevier DOI 1004
BibRef
Earlier:
Phase based level set segmentation of blood vessels,
ICPR08(1-4).
IEEE DOI 0812
Image segmentation; Blood vessels; Medical imaging; Multi-scale; Quadrature filter; Level set method BibRef

Adel, M.[Mouloud], Moussaoui, A., Rasigni, M.[Monique], Bourennane, S.[Salah], Hamami, L.,
Statistical-Based Tracking Technique for Linear Structures Detection: Application to Vessel Segmentation in Medical Images,
SPLetters(17), No. 6, June 2010, pp. 555-558.
IEEE DOI 1006
BibRef

Adel, M.[Mouloud], Rasigni, M.[Monique], Gaidon, T.[Thierry], Fossati, C.[Caroline], Bourennane, S.[Salah],
Statistical-based linear vessel structure detection in medical images,
ICIP09(649-652).
IEEE DOI 0911
BibRef

Dong, B.[Bin], Chien, A.[Aichi], Shen, Z.W.[Zuo-Wei], Osher, S.J.[Stanley J.],
A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery,
SIAM_JSC(32), No. 4, 2010, pp. 1724-1739
DOI Link BibRef 1000

Pinter, S.Z., Lacefield, J.C.,
Objective Selection of High-Frequency Power Doppler Wall Filter Cutoff Velocity for Regions of Interest Containing Multiple Small Vessels,
MedImg(29), No. 5, May 2010, pp. 1124-1139.
IEEE DOI 1006
BibRef

Couade, M., Pernot, M., Messas, E., Bel, A., Ba, M., Hagege, A.A., Fink, M., Tanter, M.,
In Vivo Quantitative Mapping of Myocardial Stiffening and Transmural Anisotropy During the Cardiac Cycle,
MedImg(30), No. 2, February 2011, pp. 295-305.
IEEE DOI 1102

See also Potential of MRI and Ultrasound Radiation Force in Elastography: Applications to Diagnosis and Therapy. BibRef

Yuan, Y.[Yuan], Luo, Y.S.[Yi-Shan], Chung, A.C.S.,
VE-LLI-VO: Vessel Enhancement Using Local Line Integrals and Variational Optimization,
IP(20), No. 7, July 2011, pp. 1912-1924.
IEEE DOI 1107
BibRef

McIntosh, C.[Chris], Hamarneh, G.[Ghassan],
Medial-Based Deformable Models in Nonconvex Shape-Spaces for Medical Image Segmentation,
MedImg(31), No. 1, January 2012, pp. 33-50.
IEEE DOI 1201
BibRef
Earlier:
Optimal Weights for Convex Functionals in Medical Image Segmentation,
ISVC09(I: 1079-1088).
Springer DOI 0911
BibRef
Earlier:
Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis,
CVPR06(I: 1084-1091).
IEEE DOI 0606
BibRef

Baboiu, D.M.[Daniel-Marian], Hamarneh, G.[Ghassan],
Vascular bifurcation detection in scale-space,
MMBIA12(41-46).
IEEE DOI 1203
BibRef

Petersen, K., Ganz, M., Mysling, P., Nielsen, M., Lillemark, L., Crimi, A., Brandt, S.S.,
A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs,
MedImg(31), No. 3, March 2012, pp. 663-676.
IEEE DOI 1203
BibRef

Hong, Q., Li, Q., Tian, J.,
Implicit Reconstruction of Vasculatures Using Bivariate Piecewise Algebraic Splines,
MedImg(31), No. 3, March 2012, pp. 543-553.
IEEE DOI 1203
BibRef

Wong, W.C.K., So, R.W.K., Chung, A.C.S.,
Principal Curves for Lumen Center Extraction and Flow Channel Width Estimation in 3-D Arterial Networks: Theory, Algorithm, and Validation,
IP(21), No. 4, April 2012, pp. 1847-1862.
IEEE DOI 1204
BibRef

Wu, W.[Wen], Chen, T.[Terrence], Wang, P.[Peng], Zhou, S.H.K.[Shao-Hua Kevin], Comaniciu, D.[Dorin], Barbu, A.[Adrian], Strobel, N.[Norbert],
Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy,
CVPR11(1097-1104).
IEEE DOI 1106
BibRef

Goyal, A., Lee, J., Lamata, P., van den Wijngaard, J., van Horssen, P., Spaan, J., Siebes, M., Grau, V., Smith, N.P.,
Model-Based Vasculature Extraction From Optical Fluorescence Cryomicrotome Images,
MedImg(32), No. 1, January 2013, pp. 56-72.
IEEE DOI 1301
BibRef

Xiao, C., Staring, M., Wang, Y., Shamonin, D.P., Stoel, B.C.,
Multiscale Bi-Gaussian Filter for Adjacent Curvilinear Structures Detection With Application to Vasculature Images,
IP(22), No. 1, January 2013, pp. 174-188.
IEEE DOI 1301
BibRef

Cetin, S., Demir, A., Yezzi, A.J., Degertekin, M., Unal, G.,
Vessel Tractography Using an Intensity Based Tensor Model With Branch Detection,
MedImg(32), No. 2, February 2013, pp. 348-363.
IEEE DOI 1301
BibRef

Pan, J.J.[Jun-Jun], Zhang, J.J.[Jian J.],
Theoretical design of vascular imaging based on hall effect,
IJIST(23), No. 1, March 2013, pp. 85-96.
DOI Link 1303
BibRef

Lu, N.[Na], Silva, J.[Jharon], Gu, Y.[Yu], Gerber, S.[Scott], Wu, H.[Hulin], Gelbard, H.[Harris], Dewhurst, S.[Stephen], Miao, H.Y.[Hong-Yu],
Directional histogram ratio at random probes: A local thresholding criterion for capillary images,
PR(46), No. 7, July 2013, pp. 1933-1948.
Elsevier DOI 1303
Image thresholding; Random probe; Directional histogram ratio; Two-photon imaging; Whole mount microscopy; Capillary BibRef

Franquet, A., Avril, S., Le Riche, R., Badel, P., Schneider, F.C., Li, Z.Y., Boissier, C., Favre, J.P.,
A New Method for the In Vivo Identification of Mechanical Properties in Arteries From Cine MRI Images: Theoretical Framework and Validation,
MedImg(32), No. 8, 2013, pp. 1448-1461.
IEEE DOI 1308
Artery BibRef

Sun, S., Sonka, M., Beichel, R.R.,
Graph-Based IVUS Segmentation With Efficient Computer-Aided Refinement,
MedImg(32), No. 8, 2013, pp. 1536-1549.
IEEE DOI 1308
Graph-based segmentation. IVUS: Intravascular Ultrasound BibRef

Luboz, V.[Vincent], Kyaw-Tun, J.[Jim], Sen, S.[Sayan], Kneebone, R.[Roger], Dickinson, R.[Robert], Kitney, R.[Richard], Bello, F.[Fernando],
Real-time stent and balloon simulation for stenosis treatment,
VC(30), No. 3, March 2014, pp. 341-349.
Springer DOI 1403
BibRef

Saba, L., Sanches, J.M., Pedro, L.M., Suri, J.S., (Eds.),
Multi-Modality Atherosclerosis Imaging and Diagnosis,

Springer2014. ISBN 978-1-4614-7424-1.
WWW Link. 1404
BibRef

Ciompi, F.[Francesco],
Multi-class learning for vessel characterisation in intravascular ultrasound,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link 1407
Ph.D.. Thesis. BibRef

Bost, W., Lemor, R., Fournelle, M.,
Optoacoustic Imaging of Subcutaneous Microvasculature With a Class one Laser,
MedImg(33), No. 9, September 2014, pp. 1900-1904.
IEEE DOI 1410
biomedical optical imaging BibRef

Skibbe, H.[Henrik], Reisert, M.[Marco], Maeda, S., Koyama, M., Oba, S., Ito, K., Ishii, S.[Shin],
Efficient Monte Carlo Image Analysis for the Location of Vascular Entity,
MedImg(34), No. 2, February 2015, pp. 628-643.
IEEE DOI 1502
BibRef
Earlier: A1, A2, A7, Only:
Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity,
GCPR14(421-431).
Springer DOI 1411
Green products BibRef

Cheng, Y., Hu, X., Wang, J., Wang, Y., Tamura, S.,
Accurate Vessel Segmentation With Constrained B-Snake,
IP(24), No. 8, August 2015, pp. 2440-2455.
IEEE DOI 1505
Active contours BibRef

Estrada, R., Tomasi, C., Schmidler, S.C., Farsiu, S.,
Tree Topology Estimation,
PAMI(37), No. 8, August 2015, pp. 1688-1701.
IEEE DOI 1507
Estimation. Topology of tree-like structures. Apply to blood vessels, roots, etc. BibRef

Wang, Z., Jenkins, M.W., Linderman, G.C., Bezerra, H.G., Fujino, Y., Costa, M.A., Wilson, D.L., Rollins, A.M.,
3-D Stent Detection in Intravascular OCT Using a Bayesian Network and Graph Search,
MedImg(34), No. 7, July 2015, pp. 1549-1561.
IEEE DOI 1507
Bayes methods BibRef

Emrani, S., Saponas, T.S., Morris, D., Krim, H.,
A Novel Framework for Pulse Pressure Wave Analysis Using Persistent Homology,
SPLetters(22), No. 11, November 2015, pp. 1879-1883.
IEEE DOI 1509
cardiology BibRef

Sarkar, R., Mukherjee, S., Acton, S.T.,
Dictionary Learning Level Set,
SPLetters(22), No. 11, November 2015, pp. 2034-2038.
IEEE DOI 1509
blood vessels BibRef

Sarkar, R., Acton, S.T.,
SDL: Saliency-Based Dictionary Learning Framework for Image Similarity,
IP(27), No. 2, February 2018, pp. 749-763.
IEEE DOI 1712
BibRef
Earlier:
Slide: Saliency guided image dictionary and image similarity evaluation,
ICIP16(216-220)
IEEE DOI 1610
Dictionaries, Feature extraction, Image coding, Image segmentation, Machine learning, tissue image classification. BibRef

Zhao, Y., Rada, L., Chen, K., Harding, S.P., Zheng, Y.,
Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images,
MedImg(34), No. 9, September 2015, pp. 1797-1807.
IEEE DOI 1509
Active contours BibRef

Liu, X.L.[Xing-Long], Hou, F.[Fei], Hao, A.[Aimin], Qin, H.[Hong],
A parallelized 4D reconstruction algorithm for vascular structures and motions based on energy optimization,
VC(31), No. 11, November 2015, pp. 1431-1446.
WWW Link. 1512
BibRef

Sankaran, S., Grady, L., Taylor, C.A.,
Fast Computation of Hemodynamic Sensitivity to Lumen Segmentation Uncertainty,
MedImg(34), No. 12, December 2015, pp. 2562-2571.
IEEE DOI 1601
blood vessels BibRef

Tremblay-Darveau, C., Williams, R., Milot, L., Bruce, M., Burns, P.N.,
Visualizing the Tumor Microvasculature With a Nonlinear Plane-Wave Doppler Imaging Scheme Based on Amplitude Modulation,
MedImg(35), No. 2, February 2016, pp. 699-709.
IEEE DOI 1602
Acoustics BibRef

Smistad, E., Lindseth, F.,
Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve,
MedImg(35), No. 3, March 2016, pp. 752-761.
IEEE DOI 1603
Arteries BibRef

Charbonnier, J.P., Brink, M., Ciompi, F., Scholten, E.T., Schaefer-Prokop, C.M., van Rikxoort, E.M.,
Automatic Pulmonary Artery-Vein Separation and Classification in Computed Tomography Using Tree Partitioning and Peripheral Vessel Matching,
MedImg(35), No. 3, March 2016, pp. 882-892.
IEEE DOI 1603
Arteries BibRef

Kitamura, Y.[Yoshiro], Li, Y.Z.[Yuan-Zhong], Ito, W.[Wataru], Ishikawa, H.[Hiroshi],
Data-Dependent Higher-Order Clique Selection for Artery-Vein Segmentation by Energy Minimization,
IJCV(117), No. 2, April 2016, pp. 142-158.
Springer DOI 1604
BibRef

Lu, N., Silva, J.N., Gu, Y., Wu, H., Gelbard, H.A., Dewhurst, S., Miao, H.,
Capillary extraction by detecting polarity in circular profiles,
IET-IPR(10), No. 5, 2016, pp. 339-348.
DOI Link 1604
biomedical imaging BibRef

Lidayová, K.[Kristína], Frimmel, H.[Hans], Wang, C.L.[Chun-Liang], Bengtsson, E.[Ewert], Smedby, Ö.[Örjan],
Fast vascular skeleton extraction algorithm,
PRL(76), No. 1, 2016, pp. 67-75.
Elsevier DOI 1605
Skeleton extraction BibRef

Moreno, R.[Rodrigo], Wang, C.L.[Chun-Liang], Smedby, Ö.[Örjan],
Vessel Wall Segmentation Using Implicit Models and Total Curvature Penalizers,
SCIA13(299-308).
Springer DOI 1311
BibRef

Bibiloni, P., González-Hidalgo, M., Massanet, S.,
A survey on curvilinear object segmentation in multiple applications,
PR(60), No. 1, 2016, pp. 949-970.
Elsevier DOI 1609
Survey, Segmentation. Blood vessels, etc. Image processing BibRef

Mura, J., Pino, A.M., Sotelo, J., Valverde, I., Tejos, C., Andia, M.E., Irarrázaval, P., Uribe, S.,
Enhancing the Velocity Data From 4D Flow MR Images by Reducing its Divergence,
MedImg(35), No. 10, October 2016, pp. 2353-2364.
IEEE DOI 1610
Biology BibRef

Hong, Q.Q.[Qing-Qi], Li, Y.[Yan], Li, Q.D.[Qing-De], Wang, B.Z.[Bei-Zhan], Yao, J.F.[Jun-Feng], Wu, Q.Q.[Qing-Qiang], She, Y.Y.[Ying-Ying],
An implicit skeleton-based method for the geometry reconstruction of vasculatures,
VC(32), No. 10, October 2016, pp. 1251-1262.
Springer DOI 1610
BibRef

Annunziata, R.[Roberto], Trucco, E.[Emanuele],
Accelerating Convolutional Sparse Coding for Curvilinear Structures Segmentation by Refining SCIRD-TS Filter Banks,
MedImg(35), No. 11, November 2016, pp. 2381-2392.
IEEE DOI 1609
biomedical optical imaging. Retinal vessels, neurites. BibRef

Zhang, J.[Jiong], Dashtbozorg, B.[Behdad], Bekkers, E.[Erik], Pluim, J.P.W., Duits, R., ter Haar Romeny, B.M.[Bart M.],
Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores,
MedImg(35), No. 12, December 2016, pp. 2631-2644.
IEEE DOI 1612
Feature extraction BibRef

Zhang, J.[Jiong], Bekkers, E.[Erik], Abbasi, S.[Samaneh], Dashtbozorg, B.[Behdad], ter Haar Romeny, B.M.[Bart M.],
Robust and Fast Vessel Segmentation via Gaussian Derivatives in Orientation Scores,
CIAP15(I:537-547).
Springer DOI 1511
BibRef

Almasi, S.[Sepideh], Ben-Zvi, A.[Ayal], Lacoste, B.[Baptiste], Gu, C.H.[Cheng-Hua], Miller, E.L.[Eric L.], Xu, X.Y.[Xiao-Yin],
Joint volumetric extraction and enhancement of vasculature from low-SNR 3-D fluorescence microscopy images,
PR(63), No. 1, 2017, pp. 710-718.
Elsevier DOI 1612
Image segmentation BibRef

Jin, M.X.[Ming-Xin], Li, R.[Rong], Jiang, J.[Jian], Qin, B.[Binjie],
Extracting contrast-filled vessels in X-ray angiography by graduated RPCA with motion coherency constraint,
PR(63), No. 1, 2017, pp. 653-666.
Elsevier DOI 1612
Subspace estimation BibRef

Song, P., Manduca, A., Trzasko, J.D., Chen, S.,
Ultrasound Small Vessel Imaging With Block-Wise Adaptive Local Clutter Filtering,
MedImg(36), No. 1, January 2017, pp. 251-262.
IEEE DOI 1701
Blood BibRef

Xu, Y.C.[Yong-Chao], Carlinet, E., Géraud, T.[Thierry], Najman, L.[Laurent],
Hierarchical Segmentation Using Tree-Based Shape Spaces,
PAMI(39), No. 3, March 2017, pp. 457-469.
IEEE DOI 1702
BibRef
Earlier: A1, A3, A4, Only:
Two Applications of Shape-Based Morphology: Blood Vessels Segmentation and a Generalization of Constrained Connectivity,
ISMM13(390-401).
Springer DOI 1305
Image edge detection
See also Connected Filtering on Tree-Based Shape-Spaces. BibRef

Rao, H.[Hong], Zhang, P.[Pinglei], Sun, C.[Changsen],
Contrast enhancement for the infrared vein image of leg based on the optical angular spectrum theory,
SIViP(11), No. 3, March 2017, pp. 423-429.
WWW Link. 1702
BibRef

Pandey, D.[Dinesh], Yin, X.X.[Xiao-Xia], Wang, H.[Hua], Zhang, Y.[Yanchun],
Accurate vessel segmentation using maximum entropy incorporating line detection and phase-preserving denoising,
CVIU(155), No. 1, 2017, pp. 162-172.
Elsevier DOI 1702
Line detection BibRef

Novikov, A.A., Major, D., Wimmer, M., Sluiter, G., Bühler, K.,
Automated Anatomy-Based Tracking of Systemic Arteries in Arbitrary Field-of-View CTA Scans,
MedImg(36), No. 6, June 2017, pp. 1359-1371.
IEEE DOI 1706
Algorithm design and analysis, Angiography, Arteries, Feature extraction, Pipelines, Vessel tracking, centerline extraction, multiple body parts, systemic, arteries BibRef

Dogra, A.[Ayush], Goyal, B.[Bhawna], Agrawal, S.I.[Sun-Il], Ahuja, C.K.[Chirag Kamal],
Efficient fusion of osseous and vascular details in wavelet domain,
PRL(94), No. 1, 2017, pp. 189-193.
Elsevier DOI 1708
Image, fusion BibRef

Goyal, B.[Bhawna], Dogra, A.[Ayush], Agrawal, S.I.[Sun-Il], Sohi, B.S.,
Dual Way Residue Noise Thresholding along with feature preservation,
PRL(94), No. 1, 2017, pp. 194-201.
Elsevier DOI 1708
NSST, (Non-Sub Sampled Shearlet transform) BibRef

Park, S., Jang, J., Kim, J., Kim, Y.S., Kim, C.,
Real-time Triple-modal Photoacoustic, Ultrasound, and Magnetic Resonance Fusion Imaging of Humans,
MedImg(36), No. 9, September 2017, pp. 1912-1921.
IEEE DOI 1709
biomedical MRI, biomedical optical imaging, biomedical ultrasonics, blood vessels, image registration, real-time US image registration, real-time triple-modal PA-US-MR fusion imaging, optical-tracking based navigation system, ultrasound BibRef

Merveille, O.[Odyssee], Naegel, B.[Benoît], Talbot, H.[Hugues], Najman, L.[Laurent], Passat, N.[Nicolas],
2D Filtering of Curvilinear Structures by Ranking the Orientation Responses of Path Operators (RORPO),
IPOL(7), 2017, pp. 246-261.
DOI Link 1710
Code, Curvilinear Structures.
See also Curvilinear Structure Analysis by Ranking the Orientation Responses of Path Operators. BibRef

Merveille, O.[Odyssée], Talbot, H.[Hugues], Najman, L.[Laurent], Passat, N.[Nicolas],
Curvilinear Structure Analysis by Ranking the Orientation Responses of Path Operators,
PAMI(40), No. 2, February 2018, pp. 304-317.
IEEE DOI 1801
BibRef
Earlier:
Ranking Orientation Responses of Path Operators: Motivations, Choices and Algorithmics,
ISMM15(633-644).
Springer DOI 1506
BibRef
Earlier:
Tubular Structure Filtering by Ranking Orientation Responses of Path Operators,
ECCV14(II: 203-218).
Springer DOI 1408

See also 2D Filtering of Curvilinear Structures by Ranking the Orientation Responses of Path Operators (RORPO). Anisotropic magnetoresistance, Image segmentation, Kernel, Morphology, Robustness, Tensile stress, path opening BibRef

Lamy, J.[Jonas], Merveille, O.[Odyssée], Kerautret, B.[Bertrand], Passat, N.[Nicolas],
A Benchmark Framework for Multiregion Analysis of Vesselness Filters,
MedImg(41), No. 12, December 2022, pp. 3649-3662.
IEEE DOI 2212
Benchmark testing, Image segmentation, Computed tomography, Optimization, Information filters, Bifurcation, magnetic resonance imaging (MRI) BibRef

Merveille, O.[Odyssée],
RORPO: A morphological framework for curvilinear structure analysis. Application to the filtering and segmentation of blood vessels,
Ph.D.Thesis, Universite Paris-Est, 2016.
WWW Link. BibRef 1600

Li, Y., Qiao, Z., Zhang, S., Wu, Z., Mao, X., Kou, J., Qi, H.,
A Novel Method for Low-Contrast and High-Noise Vessel Segmentation and Location in Venipuncture,
MedImg(36), No. 11, November 2017, pp. 2216-2227.
IEEE DOI 1711
Image edge detection, Image segmentation, Noise measurement, Vessel segmentation, venipuncture system BibRef

Zhao, Y., Zheng, Y., Liu, Y., Zhao, Y., Luo, L., Yang, S., Na, T., Wang, Y., Liu, J.,
Automatic 2-D/3-D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter,
MedImg(37), No. 2, February 2018, pp. 438-450.
IEEE DOI 1802
Image edge detection, Image segmentation, Imaging, Multiresolution analysis, Nonhomogeneous media, vascular BibRef

Xie, W.C.[Wei-Cheng], Duan, J.M.[Jin-Ming], Shen, L.L.[Lin-Lin], Li, Y.X.[Yue-Xiang], Yang, M.[Meng], Lin, G.J.[Guo-Jun],
Open snake model based on global guidance field for embryo vessel location,
IET-CV(12), No. 2, March 2018, pp. 129-137.
DOI Link 1804
BibRef

Bekkers, E.J.[Erik J.], Chen, D.[Da], Portegies, J.M.[Jorg M.],
Nilpotent Approximations of Sub-Riemannian Distances for Fast Perceptual Grouping of Blood Vessels in 2D and 3D,
JMIV(60), No. 6, July 2018, pp. 882-899.
WWW Link. 1806
BibRef

Villiger, M., Otsuka, K., Karanasos, A., Doradla, P., Ren, J., Lippok, N., Shishkov, M., Daemen, J., Diletti, R., van Geuns, R., Zijlstra, F., Dijkstra, J., van Soest, G., Regar, E., Nadkarni, S.K., Bouma, B.E.,
Repeatability Assessment of Intravascular Polarimetry in Patients,
MedImg(37), No. 7, July 2018, pp. 1618-1625.
IEEE DOI 1808
biological tissues, biomedical optical imaging, birefringence, blood vessels, catheters, diseases, medical image processing, vessels BibRef

Unberath, M., Taubmann, O., Aichert, A., Achenbach, S., Maier, A.,
Prior-Free Respiratory Motion Estimation in Rotational Angiography,
MedImg(37), No. 9, September 2018, pp. 1999-2009.
IEEE DOI 1809
Angiography, Image reconstruction, Arteries, Motion estimation, Image segmentation, Measurement, Geometry, Consistency conditions, tomography BibRef

Kang, J.[Jiwoo], Heo, S.[Suwoong], Hyung, W.J.[Woo Jin], Lim, J.S.[Joon Seok], Lee, S.H.[Sang-Hoon],
3D Active Vessel Tracking Using an Elliptical Prior,
IP(27), No. 12, December 2018, pp. 5933-5946.
IEEE DOI 1810
Image segmentation, Biomedical imaging, Tuning, Bifurcation, ellipse fitting BibRef

Nardelli, P., Jimenez-Carretero, D., Bermejo-Pelaez, D., Washko, G.R., Rahaghi, F.N., Ledesma-Carbayo, M.J., San José Estépar, R.,
Pulmonary Artery-Vein Classification in CT Images Using Deep Learning,
MedImg(37), No. 11, November 2018, pp. 2428-2440.
IEEE DOI 1811
Computed tomography, Arteries, Veins, Image segmentation, Lung, Computer architecture, lung BibRef

Aguirre, J., Berezhnoi, A., He, H., Schwarz, M., Hindelang, B., Omar, M., Ntziachristos, V.,
Motion Quantification and Automated Correction in Clinical RSOM,
MedImg(38), No. 6, June 2019, pp. 1340-1346.
IEEE DOI 1906
Skin, Image reconstruction, Detectors, Imaging, Motion measurement, Transducers, Heart, Dermatology, imaging, microvasculature, motion correction BibRef

Obara, B., Fricker, M., Gavaghan, D.[David], Grau, V.[Vicente],
Contrast-Independent Curvilinear Structure Detection in Biomedical Images,
IP(21), No. 5, May 2012, pp. 2572-2581.
IEEE DOI 1204
BibRef

Alharbi, S.S.[Shuaa S.], Willcocks, C.G.[Chris G.], Jackson, P.T.G.[Philip T. G.], Alhasson, H.F.[Haifa F.], Obara, B.[Boguslaw],
Sequential graph-based extraction of curvilinear structures,
SIViP(13), No. 5, July 2019, pp. 941-949.
Springer DOI 1906
BibRef

Alhasson, H.F.[Haifa F.], Alharbi, S.S.[Shuaa S.], Obara, B.[Boguslaw],
2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor,
BioIm18(VI:365-374).
Springer DOI 1905
BibRef

Liu, M., Chen, W., Wang, C., Peng, H.,
A Multiscale Ray-Shooting Model for Termination Detection of Tree-Like Structures in Biomedical Images,
MedImg(38), No. 8, August 2019, pp. 1923-1934.
IEEE DOI 1908
Neurons, Biomedical imaging, Adaptation models, Visualization, rayburst sampling BibRef

Pusit, P.[Prasong], Xie, X.L.[Xiao-Liang], Hou, Z.G.[Zeng-Guang],
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention,
IET-IPR(13), No. 13, November 2019, pp. 2579-2586.
DOI Link 1911
BibRef

Apostolakis, I.Z., Karageorgos, G.M., Nauleau, P., Nandlall, S.D., Konofagou, E.E.,
Adaptive Pulse Wave Imaging: Automated Spatial Vessel Wall Inhomogeneity Detection in Phantoms and in-Vivo,
MedImg(39), No. 1, January 2020, pp. 259-269.
IEEE DOI 2001
Mice, Phantoms, Atherosclerosis, Arteries, Image segmentation, Propagation, Pulse wave velocity, arterial stiffness, silicone phantom BibRef

Fang, H., Ai, D., Cong, W., Yang, S., Zhu, J., Huang, Y., Song, H., Wang, Y., Yang, J.,
Topology Optimization Using Multiple-Possibility Fusion for Vasculature Extraction,
CirSysVideo(30), No. 2, February 2020, pp. 442-456.
IEEE DOI 2002
Topology, Filtering, Optimization, Angiography, Feature extraction, Image segmentation, Training, Centerline extraction, vasculature BibRef

Chen, J.[Juan], Zhou, S.J.[Shi-Jie], Kang, Z.[Zhao], Wen, Q.[Quan],
Locality-constrained group lasso coding for microvessel image classification,
PRL(130), 2020, pp. 132-138.
Elsevier DOI 2002
Image classification, Group sparse coding, Microvessel BibRef

Banerjee, A., Galassi, F., Zacur, E., de Maria, G.L., Choudhury, R.P., Grau, V.,
Point-Cloud Method for Automated 3D Coronary Tree Reconstruction From Multiple Non-Simultaneous Angiographic Projections,
MedImg(39), No. 4, April 2020, pp. 1278-1290.
IEEE DOI 2004
Image reconstruction, Surface reconstruction, Geometry, optical coherence tomography BibRef

Mou, L., Chen, L., Cheng, J., Gu, Z., Zhao, Y., Liu, J.,
Dense Dilated Network With Probability Regularized Walk for Vessel Detection,
MedImg(39), No. 5, May 2020, pp. 1392-1403.
IEEE DOI 2005
Feature extraction, Retinal vessels, Image segmentation, Diseases, Blood vessels, Biomedical imaging, Vessel segmentation, vessel reconnection BibRef

Brummer, A.B., Hunt, D., Savage, V.,
Improving Blood Vessel Tortuosity Measurements via Highly Sampled Numerical Integration of the Frenet-Serret Equations,
MedImg(40), No. 1, January 2021, pp. 297-309.
IEEE DOI 2012
Measurement, Mathematical model, Diseases, Image reconstruction, Arteries, Hypertension, Biomedical imaging, Biomechanical modeling, vessels BibRef

Qin, Y.L.[Yu-Lei], Zheng, H.[Hao], Gu, Y.[Yun], Huang, X.L.[Xiao-Lin], Yang, J.[Jie], Wang, L.H.[Li-Hui], Yao, F.[Feng], Zhu, Y.M.[Yue-Min], Yang, G.Z.[Guang-Zhong],
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT,
MedImg(40), No. 6, June 2021, pp. 1603-1617.
IEEE DOI 2106
Arteries, Veins, Computed tomography, Convolution, Task analysis, Image segmentation, Atmospheric modeling, Computed tomography, convolutional neural networks BibRef

Pavani, P.G.[P. Geetha], Biswal, B.[Birendra], Sairam, M.V.S., Biswal, P.K.[Pradyut Kumar],
An exclusive-disjunction-based detection of neovascularisation using multi-scale CNN,
IET-IPR(15), No. 7, 2021, pp. 1518-1529.
DOI Link 2106
BibRef

Boux, F.[Fabien], Forbes, F.[Florence], Arbel, J.[Julyan], Lemasson, B.[Benjamin], Barbier, E.L.[Emmanuel L.],
Bayesian Inverse Regression for Vascular Magnetic Resonance Fingerprinting,
MedImg(40), No. 7, July 2021, pp. 1827-1837.
IEEE DOI 2107
Dictionaries, Computational modeling, Standards, Data models, Adaptation models, Deep learning, Parameter estimation, brain vascular structure BibRef

Sadeghpour, M.[Mahshid], Arakala, A.[Arathi], Davis, S.A.[Stephen A.], Horadam, K.J.[Kathy J.],
Failure of affine-based reconstruction attack in regenerating vascular feature points,
IET-Bio(10), No. 5, 2021, pp. 497-517.
DOI Link 2109
BibRef

Ternifi, R.[Redouane], Wang, Y.[Yinong], Polley, E.C.[Eric C.], Fazzio, R.T.[Robert T.], Fatemi, M.[Mostafa], Alizad, A.[Azra],
Quantitative Biomarkers for Cancer Detection Using Contrast-Free Ultrasound High-Definition Microvessel Imaging: Fractal Dimension, Murray's Deviation, Bifurcation Angle & Spatial Vascularity Pattern,
MedImg(40), No. 12, December 2021, pp. 3891-3900.
IEEE DOI 2112
Ultrasonic imaging, Tumors, Imaging, Biomarkers, Fractals, Cancer, Breast, Bifurcation angle, spatial vascular pattern BibRef

Li, X.[Xuelu], Bala, R.[Raja], Monga, V.[Vishal],
Robust Deep 3D Blood Vessel Segmentation Using Structural Priors,
IP(31), 2022, pp. 1271-1284.
IEEE DOI 2202
Image segmentation, Training, Feature extraction, Image edge detection, Biomedical imaging, Decoding, structural priors BibRef

Ma, Y.X.[Yu-Xin], Hua, Y.[Yang], Deng, H.M.[Han-Ming], Song, T.[Tao], Wang, H.[Hao], Xue, Z.G.[Zhen-Gui], Cao, H.[Heng], Ma, R.[Ruhui], Guan, H.B.[Hai-Bing],
Self-Supervised Vessel Segmentation via Adversarial Learning,
ICCV21(7516-7525)
IEEE DOI 2203
Training, Image segmentation, Angiography, Drives, Adversarial machine learning, Generators, Segmentation, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Shi, T.Y.[Tian-Yi], Boutry, N.[Nicolas], Xu, Y.C.[Yong-Chao], Géraud, T.[Thierry],
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation,
IP(31), 2022, pp. 2557-2569.
IEEE DOI 2204
Image segmentation, Transforms, Object segmentation, Retina, Biomedical imaging, Learning systems, Blood vessels, generalizability BibRef

Gao, Y.[Ya], Xu, W.[Wenyi], Chen, Y.M.[Yi-Ming], Xie, W.[Weiya], Cheng, Q.[Qian],
Deep Learning-Based Photoacoustic Imaging of Vascular Network Through Thick Porous Media,
MedImg(41), No. 8, August 2022, pp. 2191-2204.
IEEE DOI 2208
Scattering, Imaging, Image reconstruction, Ultrasonic imaging, Media, Acoustics, Photoacoustic imaging, Convolutional neural network, vascular network BibRef

Zhao, G.M.[Gang-Ming], Liang, K.M.[Kong-Ming], Pan, C.W.[Cheng-Wei], Zhang, F.D.[Fan-Dong], Wu, X.P.[Xian-Peng], Hu, X.Y.[Xin-Yang], Yu, Y.Z.[Yi-Zhou],
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation,
MedImg(42), No. 1, January 2023, pp. 183-195.
IEEE DOI 2301
Image segmentation, Feature extraction, Computed tomography, Anisotropic magnetoresistance, Convolution, Deep learning, deep learning BibRef

Shen, N.[Ning], Xu, T.F.[Ting-Fa], Bian, Z.Y.[Zi-Yang], Huang, S.Q.[Shi-Qi], Mu, F.[Feng], Huang, B.[Bo], Xiao, Y.Z.[Yu-Ze], Li, J.A.[Jian-An],
SCANet: A Unified Semi-Supervised Learning Framework for Vessel Segmentation,
MedImg(42), No. 9, September 2023, pp. 2476-2489.
IEEE DOI 2310
BibRef

Yao, L.L.[Lin-Lin], Shi, F.[Feng], Wang, S.[Sheng], Zhang, X.[Xiao], Xue, Z.[Zhong], Cao, X.H.[Xiao-Huan], Zhan, Y.Q.[Yi-Qiang], Chen, L.Z.[Li-Zhou], Chen, Y.[Yuntian], Song, B.[Bin], Wang, Q.[Qian], Shen, D.G.[Ding-Gang],
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling,
MedImg(42), No. 11, November 2023, pp. 3155-3166.
IEEE DOI 2311
BibRef

Gratacós, G.[Gustavo], Chakrabarti, A.[Ayan], Ju, T.[Tao],
Tree Recovery by Dynamic Programming,
PAMI(45), No. 12, December 2023, pp. 15870-15882.
IEEE DOI 2311
Tree-like structures BibRef

Kerautret, B.[Bertrand], Ngo, P.[Phuc], Passat, N.[Nicolas], Talbot, H.[Hugues], Jaquet, C.[Clara],
OpenCCO: An Implementation of Constrained Constructive Optimization for Generating 2D and 3D Vascular Trees,
IPOL(13), 2023, pp. 258-279.
DOI Link 2311
Code, Vascular Tree. BibRef

Fu, S.Z.[Su-Zhong], Xu, J.[Jing], Chang, S.L.[Shi-Long], Yang, L.[Luyao], Ling, S.T.[Shu-Ting], Cai, J.H.[Jing-Han], Chen, J.Y.[Jia-Yin], Yuan, J.C.[Jia-Cheng], Cai, Y.[Ying], Zhang, B.[Bei], Huang, Z.C.[Zi-Cheng], Yang, K.[Kun], Sui, W.H.[Wen-Hai], Xue, L.Y.[Lin-Yan], Zhao, Q.L.[Qing-Liang],
Robust Vascular Segmentation for Raw Complex Images of Laser Speckle Contrast Based on Weakly Supervised Learning,
MedImg(43), No. 1, January 2024, pp. 39-50.
IEEE DOI 2401
BibRef

Wang, H.D.[Hua-Deng], Zuo, W.B.[Wen-Bin], Pan, X.P.[Xi-Peng], Lan, R.[Rushi], Luo, X.N.[Xiao-Nan],
Blood Vessel Segmentation via Topology Interaction and Contrast,
SPLetters(31), 2024, pp. 291-295.
IEEE DOI 2402
Topology, Feature extraction, Blood vessels, Biomedical imaging, Network topology, Decoding, Convolution, Blood vessel segmentation, topology structure BibRef

Zuo, W.B.[Wen-Bin], Wang, H.[Huadeng], Pan, X.P.[Xi-Peng], Lan, R.[Rushi], Luo, X.N.[Xiao-Nan],
Revamping Blood Vessel Edge-Buffer Labels: A Self-Correcting Region Supervision,
SPLetters(31), 2024, pp. 586-590.
IEEE DOI 2402
Noise measurement, Training, Biomedical imaging, Correlation, Image edge detection, Federated learning, Task analysis, self-correction BibRef

Liu, J.[Jicheng], Liu, H.[Hui], Fu, H.Z.[Hua-Zhu], Ye, Y.[Yu], Chen, K.[Kun], Lu, Y.[Yu], Mao, J.B.[Jian-Bo], Xu, R.X.[Ronald X.], Sun, M.Z.[Ming-Zhai],
Edge-Guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data,
MedImg(43), No. 3, March 2024, pp. 1237-1246.
IEEE DOI 2403
Image segmentation, Synthetic data, Feature extraction, Veins, Transformers, Task analysis, Semantics, unsupervised domain adaptation BibRef

Saeed, A.[Atiqa], Chaudhry, M.R.[Muhammad Rehan], Khan, M.U.A.[Muhammad Umair Ahmad], Saeed, M.A.[Muhammad Ahsan], Ghfar, A.A.[Ayman A.], Yasir, M.N.[Muhammad Naveed], Ajmal, H.M.S.[Hafiz Muhammad Salman],
Simplifying vein detection for intravenous procedures: A comparative assessment through near-infrared imaging system,
IJIST(34), No. 3, 2024, pp. e23068.
DOI Link 2404
cannulation, CLAHE, image processing, intravenous, NIR, transillumination, vein visualization BibRef

Liu, P.[Pan], Huang, G.[Gao], Jing, J.[Jing], Bian, S.[Suyan], Cheng, L.Q.[Liu-Quan], Lu, X.Y.[Xin Yang], Rao, C.[Chongyou], Liu, Y.[Yu], Hua, Y.[Yun], Wang, Y.J.[Yong-Jun], He, K.L.[Kun-Lun],
An Energy Matching Vessel Segmentation Framework in 3-D Medical Images,
MedImg(43), No. 4, April 2024, pp. 1476-1488.
IEEE DOI 2404
Image segmentation, Biomedical imaging, Topology, Training, Task analysis, Network topology, total variation BibRef

Zhu, J.J.[Jian-Jun], Wang, C.[Cheng], Zhang, Y.[Yi], Zhan, M.[Meixiao], Zhao, W.[Wei], Teng, S.[Sitong], Lu, L.[Ligong], Teng, G.J.[Gao-Jun],
3D/2D Vessel Registration Based on Monte Carlo Tree Search and Manifold Regularization,
MedImg(43), No. 5, May 2024, pp. 1727-1739.
IEEE DOI 2405
Deformation, Topology, Deformable models, Arteries, Manifolds, Monte Carlo methods, 3D/2D registration, vessel graph matching, manifold regularization BibRef

Guo, Z.Q.[Zhan-Qiang], Tan, Z.[Zimeng], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection,
MedImg(43), No. 6, June 2024, pp. 2241-2253.
IEEE DOI Code:
WWW Link. 2406
Image segmentation, Annotations, Blood vessels, Uncertainty, Task analysis, Noise measurement, Vessel segmentation, pseudo-label refinement BibRef

Junayed, M.S.S.[Md. Shakib Shahariar], Sanjid, K.S.[Kazi Shahriar], Hossain, M.T.[Md. Tanzim], Uddin, M.M.[M. Monir], Haque, S.A.[Sheikh Anisul],
Topology-aware anatomical segmentation of the Circle of Willis: HUNet unveils the vascular network,
IET-IPR(18), No. 10, 2024, pp. 2745-2753.
DOI Link 2408
image segmentation, medical image processing, neural net architecture BibRef

Fu, W.L.[Wen-Li], Hu, H.J.[Hui-Jun], Li, X.Y.[Xin-Yue], Guo, R.[Rui], Chen, T.[Tao], Qian, X.H.[Xiao-Hua],
A Generalizable Causal-Invariance-Driven Segmentation Model for Peripancreatic Vessels,
MedImg(43), No. 11, November 2024, pp. 3794-3806.
IEEE DOI Code:
WWW Link. 2411
Correlation, Image segmentation, Arteries, Predictive models, Cause effect analysis, Veins, Surgery, Pancreatic cancer, causal learning BibRef

Qi, H.[Hao], Jin, J.[Jiabao], Ding, G.[Gang], Chen, X.X.[Xiang-Xing], Ke, S.K.[Sun-Kui], Chen, Y.R.[Yin-Ran], Luo, X.B.[Xiong-Biao],
Enhanced U-Transformer Networks for Automatic Pulmonary Vessel Segmentation in CT Images,
ICIP23(2970-2974)
IEEE DOI 2312
BibRef

Zhang, S.X.[Sheng-Xuming], Shi, T.Q.[Tian-Qi], Jiang, Y.[Yang], Zhang, X.[Xiuming], Lei, J.[Jie], Feng, Z.[Zunlei], Song, M.L.[Ming-Li],
A Loopback Network for Explainable Microvascular Invasion Classification,
CVPR23(7443-7453)
IEEE DOI 2309
BibRef