21.10.6.8 Arteries, Plaque Formation, Detection, Analysis

Chapter Contents (Back)
Plaque. Blood Vessels.

Christodoulou, C.I., Pattichis, C.S., Pantziaris, M., Nicolaides, A.,
Texture-based classification of atherosclerotic carotid plaques,
MedImg(22), No. 7, July 2003, pp. 902-912.
IEEE Abstract. 0308
BibRef

Pattichis, C.S., Christodoulou, C.I., Pattichis, M.S., Pantziaris, M., Nicolaides, A.,
An Integrated System for the Assessment of Ultrasonic Imaging Atherosclerotic Carotid Plaques,
ICIP01(I: 325-328).
IEEE DOI 0108
BibRef

Christodoulou, C.I., Kyriacou, E., Pattichis, M.S., Pattichis, C.S., Nicolaides, A.,
A Comparative Study of Morphological and Other Texture Features for the Characterization of Atherosclerotic Carotid Plaques,
CAIP03(503-511).
Springer DOI 0311
BibRef

van der Meer, F.J., Faber, D.J., Baraznji Sassoon, D.M., Aalders, M.C., Pasterkamp, G., van Leeuwen, T.G.,
Localized Measurement of Optical Attenuation Coefficients of Atherosclerotic Plaque Constituents by Quantitative Optical Coherence Tomography,
MedImg(24), No. 10, October 2005, pp. 1369-1376.
IEEE DOI 0510
BibRef

Piliouras, N., Kalatzis, I., Theocharakis, P., Dimitropoulos, N., Cavouras, D.,
Development of the probabilistic neural network-cubic least squares mapping (PNN-LSM3) classifier to assess carotid plaque's risk,
PRL(25), No. 2, January 2004, pp. 249-258.
Elsevier DOI 0401
BibRef

Bovenkamp, E.G.P., Dijkstra, J., Bosch, J.G., Reiber, J.H.C.,
Multi-agent segmentation of IVUS images,
PR(37), No. 4, April 2004, pp. 647-663.
Elsevier DOI 0403
IntraVascular UltraSound. Segmented by five agents, specialized in lumen, vessel, calcified-plaque, shadow and sidebranch detection. BibRef

Bovenkamp, E.G.P.[Ernst G. P.], Dijkstra, J.[Jouke], Bosch, J.G., Reiber, J.H.C.[Johan H. C.],
User-Agent Cooperation in Multiagent IVUS Image Segmentation,
MedImg(28), No. 1, January 2009, pp. 94-105.
IEEE DOI 0901
BibRef

Baldewsing, R.A., Schaar, J.A., Mastik, F., Oomens, C.W.J., van der Steen, A.F.W.,
Assessment of Vulnerable Plaque Composition by Matching the Deformation of a Parametric Plaque Model to Measured Plaque Deformation,
MedImg(24), No. 4, April 2005, pp. 514-528.
IEEE Abstract. 0501
BibRef

Dehmeshki, J., Ye, X., Amin, H., Abaei, M., Lin, X., Qanadli, S.D.,
Volumetric Quantification of Atherosclerotic Plaque in CT Considering Partial Volume Effect,
MedImg(26), No. 3, March 2007, pp. 273-282.
IEEE DOI 0703
BibRef

Le Floc'h, S., Ohayon, J., Tracqui, P., Finet, G., Gharib, A.M., Maurice, R.L., Cloutier, G., Pettigrew, R.I.,
Vulnerable Atherosclerotic Plaque Elasticity Reconstruction Based on a Segmentation-Driven Optimization Procedure Using Strain Measurements: Theoretical Framework,
MedImg(28), No. 7, July 2009, pp. 1126-1137.
IEEE DOI 0906
BibRef

Cheng, J., Tao, D., Liu, J., Wong, D.W.K., Tan, N.M., Wong, T.Y., Saw, S.M.,
Peripapillary Atrophy Detection by Sparse Biologically Inspired Feature Manifold,
MedImg(31), No. 12, December 2012, pp. 2355-2365.
IEEE DOI 1212
BibRef

van Engelen, A., van Dijk, A.C., Truijman, M.T.B., van't Klooster, R., van Opbroek, A., van der Lugt, A., Niessen, W.J., Kooi, M.E., de Bruijne, M.,
Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning,
MedImg(34), No. 6, June 2015, pp. 1294-1305.
IEEE DOI 1506
Biomedical imaging BibRef

Zhang, L., Wahle, A., Chen, Z., Lopez, J.J., Kovarnik, T., Sonka, M.,
Predicting Locations of High-Risk Plaques in Coronary Arteries in Patients Receiving Statin Therapy,
MedImg(37), No. 1, January 2018, pp. 151-161.
IEEE DOI 1801
biomedical ultrasonics, blood vessels, image classification, image registration, image segmentation, prognosis BibRef

Acharya, U.R.[U Rajendra], Meiburger, K.M.[Kristen M.], Koh, J.E.W.[Joel E. W.], Ciaccio, E.J.[Edward J.], Vicnesh, J.[Jahmunah], Tan, S.K.[Sock K.], Wong, J.H.D.[Jeannie H. D.], Aman, R.R.A.R.[Raja R. A. R.], Ng, K.H.[Kwan H.],
Automated detection of calcified plaque using higher-order spectra cumulant technique in computer tomography angiography images,
IJIST(30), No. 2, 2020, pp. 285-297.
DOI Link 2005
automated detection, CAD, CTA, higher-order spectrum cumulants BibRef

Torres, G., Czernuszewicz, T.J., Homeister, J.W., Farber, M.A., Caughey, M.C., Gallippi, C.M.,
Carotid Plaque Fibrous Cap Thickness Measurement by ARFI Variance of Acceleration: In Vivo Human Results,
MedImg(39), No. 12, December 2020, pp. 4383-4390.
IEEE DOI 2012
Thickness measurement, Imaging, In vivo, Image segmentation, Acceleration, Atherosclerosis, Correlation, Atherosclerosis, acoustic radiation force impulse (ARFI) imaging BibRef


Stamm, O.[Oskar], Vorwerg, S.[Susan],
Virtual Reality Sickness Evaluation in Exergames for Older Hypertensive Patients: A Comparative Study of Training Methods in a Virtual Environment,
VAMR21(134-146).
Springer DOI 2108
BibRef

Schmarje, L.[Lars], Zelenka, C.[Claudius], Geisen, U.[Ulf], Glüer, C.C.[Claus-C.], Koch, R.[Reinhard],
2D and 3D Segmentation of Uncertain Local Collagen Fiber Orientations in SHG Microscopy,
GCPR19(374-386).
Springer DOI 1911
BibRef

Huang, C.[Chao], Wasmund, S.L.[Stephen L.], Yamaguchi, T.[Takanori], Knighton, N.[Nathan], Hitchcock, R.W.[Robert W.], Polejaeva, I.A.[Irina A.], White, K.L.[Kenneth L.], Marrouche, N.F.[Nassir F.], Sachse, F.B.[Frank B.],
Towards Automated Quantification of Atrial Fibrosis in Images from Catheterized Fiber-Optics Confocal Microscopy Using Convolutional Neural Networks,
FIMH19(168-176).
Springer DOI 1906
BibRef

Dejea, H.[Hector], Tanner, C.[Christine], Achanta, R.[Radhakrishna], Stampanoni, M.[Marco], Perez-Cruz, F.[Fernando], Konukoglu, E.[Ender], Bonnin, A.[Anne],
Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model,
FIMH19(187-195).
Springer DOI 1906
BibRef

Hasaballa, A.I.[Abdallah I.], Sands, G.B.[Gregory B.], Wilson, A.J.[Alexander J.], Young, A.A.[Alistair A.], Wang, V.Y.[Vicky Y.], Le Grice, I.J.[Ian J.], Nash, M.P.[Martyn P.],
Three-Dimensional Quantification of Myocardial Collagen Morphology from Confocal Images,
FIMH17(3-12).
Springer DOI 1706
BibRef

Qin, Z., Wang, Y., Zhang, W., Chen, J., Wan, T.,
Kinetic measures for distinguishing vulnerable from stable atherosclerotic plaque with dynamic contrast-enhanced MRI,
ICIP17(3854-3858)
IEEE DOI 1803
biomedical MRI, blood vessels, cardiovascular system, diseases, feature extraction, image enhancement, medical image processing, plaque BibRef

Afonso, D.[David], Sanches, J.M.R.[João Miguel R.],
Detection of Carotid Plaque Symptoms Using Ultrasound Imaging,
IbPRIA13(584-591).
Springer DOI 1307
BibRef

Seabra, J.[José], Pedro, L.M.[Luís Mendes], Fernandes e Fernandes, J.[José], Sanches, J.M.[João M.],
Ultrasound Plaque Enhanced Activity Index for Predicting Neurological Symptoms,
IbPRIA11(184-191).
Springer DOI 1106
BibRef

Renard, F.[Felix], Yang, Y.Y.[Yong-Yi],
Coronary artery extraction and analysis for detection of soft plaques in MDCT images,
ICIP08(2248-2251).
IEEE DOI 0810
BibRef
And:
Image segmentation for detection of soft plaques in multidetector CT images,
Southwest08(121-124).
IEEE DOI 0803
BibRef

Seabra, J.[José], Sanches, J.M.[João M.], Pedro, L.M.[Luís M.], Fernandes e Fernandes, J.,
Three-Dimensional Ultrasonic Assessment of Atherosclerotic Plaques,
IbPRIA07(II: 523-531).
Springer DOI 0706
BibRef

Xu, D., Hwang, J.N., Chun, Y.,
Atherosclerotic Plaque Segmentation at Human Carotid Artery Based on Multiple Contrast Weighting MR Images,
ICIP01(II: 849-852).
IEEE DOI 0108
BibRef

Xu, D., Kang, X., Hwang, J.N., Yuan, C.,
Information Theoretic Analysis of Plaque in MR Imaging,
ICIP00(Vol I: 633-636).
IEEE DOI 0008
BibRef

Smutný, V.[Vladimír], Dostálová, T.[Tatjana], Dušková, J.[Jana], Hlavác, V.[Václav],
Evaluation of plaque formation: Surface reflectance measurement,
CAIP93(679-686).
Springer DOI 9309
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Heart Analysis, ECG, Electrocardiogram, Other Electrical Signals .


Last update:Oct 22, 2024 at 22:09:59