21.10.6.5 Aneurysms -- Vascular Analysis

Chapter Contents (Back)
Blood Vessels. Vascular Analysis. Aneurysms. Brain specific:
See also Brain, Cortex, Cerebral Arteries, Cerebral Aneurysm, Cerebrovascular.
See also Retinal Microaneurysms, Detection. Aorta specific:
See also Medical Applications -- Aorta, Aortic Analysis.

Kakalis, N.M.P., Mitsos, A.P., Byrne, J.V., Ventikos, Y.,
The Haemodynamics of Endovascular Aneurysm Treatment: A Computational Modelling Approach for Estimating the Influence of Multiple Coil Deployment,
MedImg(27), No. 6, June 2008, pp. 814-824.
IEEE DOI 0711
BibRef

Sadasivan, C., Cesar, L., Seong, J., Wakhloo, A.K., Lieber, B.B.,
Treatment of Rabbit Elastase-Induced Aneurysm Models by Flow Diverters: Development of Quantifiable Indexes of Device Performance Using Digital Subtraction Angiography,
MedImg(28), No. 7, July 2009, pp. 1117-1125.
IEEE DOI 0906
BibRef

Cardenes, R., Pozo, J.M., Bogunovic, H., Larrabide, I., Frangi, A.F.,
Automatic Aneurysm Neck Detection Using Surface Voronoi Diagrams,
MedImg(30), No. 10, October 2011, pp. 1863-1876.
IEEE DOI 1110
BibRef

Bogunovic, H., Pozo, J.M., Cardenes, R., Roman, L.S., Frangi, A.F.,
Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Probability Estimation,
MedImg(32), No. 9, 2013, pp. 1587-1599.
IEEE DOI 1309
Anatomical labeling BibRef

Chyzhyk, D.[Darya], Ayerdi, B.[Borja], Maiora, J.[Josu],
Active Learning with Bootstrapped Dendritic Classifier applied to medical image segmentation,
PRL(34), No. 14, 2013, pp. 1602-1608.
Elsevier DOI 1308
Lattice Computing. Interactive segmentation BibRef

Law, M.W.K.[Max W.K.], Chung, A.C.S.[Albert C.S.],
Segmentation of Intracranial Vessels and Aneurysms in Phase Contrast Magnetic Resonance Angiography Using Multirange Filters and Local Variances,
IP(22), No. 3, March 2013, pp. 845-859.
IEEE DOI 1302
BibRef
Earlier:
An Oriented Flux Symmetry Based Active Contour Model for Three Dimensional Vessel Segmentation,
ECCV10(III: 720-734).
Springer DOI 1009
BibRef
Earlier:
Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux,
ECCV08(IV: 368-382).
Springer DOI 0810
BibRef
Earlier:
Segmentation of Vessels Using Weighted Local Variances and an Active contour Model,
MMBIA06(83).
IEEE DOI 0609
BibRef
And:
Minimal Weighted Local Variance as Edge Detector for Active Contour Models,
ACCV06(I:622-632).
Springer DOI 0601
BibRef

Benmansour, F.[Fethallah], Cohen, L.D.[Laurent D.], Law, M.W.K.[Max W. K.], Chung, A.C.S.[Albert C. S.],
Tubular anisotropy for 2D vessel segmentation,
CVPR09(2286-2293).
IEEE DOI 0906
BibRef

Chung, A.C.S.[Albert C.S.], Xiang, Y.[Yang], Ye, J.[Jian], Law, W.K.,
Elastic Interaction Models for Active Contours and Surfaces,
CVBIA05(314-323).
Springer DOI 0601
BibRef

Xiang, Y.[Yang], Chung, A.C.S.[Albert C.S.], Ye, J.[Jian],
A New Active Contour Method Based on Elastic Interaction,
CVPR05(I: 452-457).
IEEE DOI 0507
BibRef

Jerman, T., Pernuš, F., Likar, B., Špiclin, Ž.,
Enhancement of Vascular Structures in 3D and 2D Angiographic Images,
MedImg(35), No. 9, September 2016, pp. 2107-2118.
IEEE DOI 1609
Aneurysm BibRef

Phillips, E.H., Achille, P.D.[P. Di], Bersi, M.R., Humphrey, J.D., Goergen, C.J.,
Multi-Modality Imaging Enables Detailed Hemodynamic Simulations in Dissecting Aneurysms in Mice,
MedImg(36), No. 6, June 2017, pp. 1297-1305.
IEEE DOI 1706
Aneurysm, Computational modeling, Hemodynamics, Imaging, Lesions, Mice, Aneurysm, animal models and imaging, aortic dissection, blood vessels, computational fluid dynamic models, hemodynamics, multi-modality fusion, optical coherence tomography (OCT), optical imaging, quantification and estimation, ultrasound BibRef

Wu, D.S.[Da-Sheng], Li, H.M.[Hao-Ming], Chang, J.B.[Jian-Bo], Qin, C.C.[Chen-Chen], Chen, Y.H.[Yi-Hao], Liu, Y.X.[Yi-Xun], Zhang, Q.H.[Qing-Hua], Huang, B.S.[Bing-Sheng], Feng, M.[Ming], Wang, R.Z.[Ren-Zhi], Yao, J.H.[Jian-Hua],
Automatic Brain Midline Surface Delineation on 3D CT Images With Intracranial Hemorrhage,
MedImg(41), No. 9, September 2022, pp. 2217-2227.
IEEE DOI 2209
Hemorrhaging, Head, Computed tomography, Task analysis, Surgery, Image edge detection, 3D brain midline surface, rectification learning BibRef

Kim, S.[Sekeun], Jiang, Z.X.[Zhen-Xiang], Zambrano, B.A.[Byron A.], Jang, Y.G.[Yeong-Gul], Baek, S.[Seungik], Yoo, S.[Sunkook], Chang, H.J.[Hyuk-Jae],
Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction,
MedImg(42), No. 1, January 2023, pp. 196-208.
IEEE DOI 2301
Predictive models, Hemodynamics, Data models, Convolutional neural networks, Image segmentation BibRef


Banerjee, S.[Subhashis], Dhara, A.K.[Ashis Kumar], Wikström, J.[Johan], Strand, R.[Robin],
Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net,
ICPR21(9265-9272)
IEEE DOI 2105
Image segmentation, Shape, Platinum, Aneurysm, Manuals, Feature extraction BibRef

Wang, L.S.[Lian-Sheng], Li, S.S.[Shu-Sheng], Chen, Y.P.[Yi-Ping], Lin, J.K.[Jian-Kun], Liu, C.H.[Chang-Hua],
Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm Based on Deep Residual Networks,
MLMI16(262-270).
Springer DOI 1611
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Heart Valve Analysis .


Last update:Nov 26, 2024 at 16:40:19