20.9.7.1 Brain, Cortex, Cerebral Arteries

Chapter Contents (Back)
Brain. Cerebral Aneurysm. Blood Vessels.

Suetens, P., Jansen, P., Haegemans, A., Oosterlinck, A., Gybels, J.,
3D Reconstruction of the Blood Vessels of the Brain from a Stereoscopic Pair of Subtraction Angiograms,
IVC(1), No. 1, February 1983, pp. 43-51.
WWW Link. BibRef 8302

Suetens, P., Haegemans, A., Oosterlinck, A., Gybels, J.,
An Attempt to Reconstruct the Cerebral Bloodvessels from a Lateral and a Frontal Angiogram,
PR(16), No. 5, 1983, pp. 517-524.
WWW Link. 0309
BibRef

Barillot, C.[Christian], Gibaud, B.[Bernard], Scarabin, J.M.[Jean-Marie], and Coatrieux, J.L.[Jean-Louis],
3-D Reconstruction of Cerebral Blood Vessels,
IEEE_CGA(5), No. 12, December, 1985, pp. 13-19. BibRef 8512

Wilson, D.L., Royston, D.D., Noble, J.A., Byrne, J.V.,
Determining X-ray projections for coil treatments of intracranial aneurysms,
MedImg(18), No. 10, October 1999, pp. 973-980.
IEEE Top Reference. 0110
BibRef

Jani, A.B., Pelizzari, C.A., Chen, G.T.Y., Roeske, J., Hamilton, R.J., MacDonald, R.L., Bova, F., Hoffmann, K.R., Sweeney, P.A.,
Volume rendering quantification algorithm for reconstruction of CT volume-rendered structures. 1. Cerebral arteriovenous malformations,
MedImg(19), No. 1, January 2000, pp. 12-24.
IEEE Top Reference. 0110
BibRef

Flasque, N., Desvignes, M., Constans, J.M., Revenu, M.,
Acquisition, segmentation and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images,
MIA(5), No. 3, 2001, pp. 173-183. 3D segmentation, stenosys
PDF File. BibRef 0100

Flasque, N., Desvignes, M.,
Accurate Detection of 3d Tubular Tree Structures,
ICIP00(Vol III: 436-439).
IEEE DOI 0008
BibRef

Bullitt, E., Gerig, G., Pizer, S.M.[Stephen M.], Lin, W.L.[Wei-Li], Aylward, S.R.,
Measuring tortuosity of the intracerebral vasculature from MRA images,
MedImg(22), No. 9, September 2003, pp. 1163-1171.
IEEE Abstract. 0309
BibRef

Cebral, J.R., Castro, M.A., Appanaboyina, S., Putman, C.M., Millan, D., Frangi, A.F.,
Efficient Pipeline for Image-Based Patient-Specific Analysis of Cerebral Aneurysm Hemodynamics: Technique and Sensitivity,
MedImg(24), No. 4, April 2005, pp. 457-467.
IEEE Abstract. 0501
BibRef

Volkau, I., Zheng, W., Baimouratov, R., Aziz, A., Nowinski, W.L.,
Geometric Modeling of the Human Normal Cerebral Arterial System,
MedImg(24), No. 4, April 2005, pp. 529-539.
IEEE Abstract. 0501
BibRef

Millan, R.D., Dempere-Marco, L., Pozo, J.M., Cebral, J.R., Frangi, A.F.,
Morphological Characterization of Intracranial Aneurysms Using 3-D Moment Invariants,
MedImg(26), No. 9, September 2007, pp. 1270-1282.
IEEE DOI 0710
See also Efficient 3D Geometric and Zernike Moments Computation from Unstructured Surface Meshes. BibRef

Zhang, C., Villa-Uriol, M.C., de Craene, M., Pozo, J.M., Frangi, A.F.,
Morphodynamic Analysis of Cerebral Aneurysm Pulsation From Time-Resolved Rotational Angiography,
MedImg(28), No. 7, July 2009, pp. 1105-1116.
IEEE DOI 0906
BibRef

Passat, N., Ronse, C., Baruthio, J., Armspach, J.P., Foucher, J.,
Watershed and multimodal data for brain vessel segmentation: Application to the superior sagittal sinus,
IVC(25), No. 4, April 2007, pp. 512-521.
WWW Link. 0702
Vessel segmentation; Watershed segmentation; A priori knowledge integration; Magnetic resonance imaging BibRef

Chillet, D., Passat, N., Jacob-da Col, M.A., Baruthio, J.,
Thickness Estimation of Discrete Tree-Like Tubular Objects: Application to Vessel Quantification,
SCIA05(263-271).
Springer DOI 0506
BibRef

Passat, N., Ronse, C., Baruthio, J., Armspach, J.P., Bosc, M., Foucher, J.,
Using Multimodal MR Data for Segmentation and Topology Recovery of the Cerebral Superficial Venous Tree,
ISVC05(60-67).
Springer DOI 0512
BibRef

Passat, N., Ronse, C., Baruthio, J., Armspach, J.P., Maillot, C.,
Cerebral Vascular Atlas Generation for Anatomical Knowledge Modeling and Segmentation Purpose,
CVPR05(II: 331-337).
IEEE DOI 0507
BibRef

Caldairou, B.[Benoît], Passat, N.[Nicolas], Naegel, B.[Benoît],
Attribute-Filtering and Knowledge Extraction for Vessel Segmentation,
ISVC10(I: 13-22).
Springer DOI 1011
BibRef

Piccinelli, M., Veneziani, A., Steinman, D.A., Remuzzi, A., Antiga, L.,
A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms,
MedImg(28), No. 8, August 2009, pp. 1141-1155.
IEEE DOI 0909
BibRef

O'Sullivan, F., Kirrane, J., Muzi, M., O'Sullivan, J.N., Spence, A.M., Mankoff, D.A., Krohn, K.A.,
Kinetic Quantitation of Cerebral PET-FDG Studies Without Concurrent Blood Sampling: Statistical Recovery of the Arterial Input Function,
MedImg(29), No. 3, March 2010, pp. 610-624.
IEEE DOI 1003
BibRef

Wang, Y., Hu, D., Liu, Y., Li, M.,
Cerebral Artery-Vein Separation Using 0.1-Hz Oscillation in Dual-Wavelength Optical Imaging,
MedImg(30), No. 12, December 2011, pp. 2030-2043.
IEEE DOI 1112
BibRef

Morales, H.G., Larrabide, I., Geers, A.J., San Roman, L., Blasco, J., Macho, J.M., Frangi, A.F.,
A Virtual Coiling Technique for Image-Based Aneurysm Models by Dynamic Path Planning,
MedImg(32), No. 1, January 2013, pp. 119-129.
IEEE DOI 1301
BibRef

Jiang, J., Strother, C.M.,
Interactive Decomposition and Mapping of Saccular Cerebral Aneurysms Using Harmonic Functions: Its First Application With 'Patient-Specific' Computational Fluid Dynamics (CFD) Simulations,
MedImg(32), No. 2, February 2013, pp. 153-164.
IEEE DOI 1301
BibRef

Liu, B.[Bin], Zhao, Q.C.[Qiao-Chu], Dong, J.[Jiahao], Jia, X.Y.[Xian-Yong], Yue, Z.G.[Zong-Ge],
A stretching transform-based automatic nonrigid registration system for cerebrovascular digital subtraction angiography images,
IJIST(23), No. 2, 2013, pp. 171-187.
DOI Link digital subtraction angiography, cerebrovascular image, non-rigid registration, stretching transformation 1307
BibRef

Mitra, J.[Jubin], Chandra, A.[Abhijit], Halder, T.[Tanmay],
Peak Trekking of Hierarchy Mountain for the Detection of Cerebral Aneurysm using Modified Hough Circle Transform,
ELCVIA(12), No. 1, 2013, pp. xx-yy.
WWW Link. 1307
BibRef

Kang, C.K.[Chang-Ki], Park, C.A.[Chan-A], Lee, Y.B.[Yeong-Bae], Park, C.W.[Cheol-Wan], Hong, S.M.[Suk-Min], Kim, Y.B.[Young-Bo], Cho, Z.H.[Zang-Hee],
Micro-vascular imaging experiences of time-of-flight MRA at 7T for cerebrovascular diseases,
IJIST(24), No. 2, 2014, pp. 121-128.
DOI Link 1405
7T MRI, MRA, micro-vascular imaging, cerebrovascular diseases BibRef

Skwerer, S.[Sean], Bullitt, E.[Elizabeth], Huckemann, S.[Stephan], Miller, E.[Ezra], Oguz, I.[Ipek], Owen, M.[Megan], Patrangenaru, V.[Vic], Provan, S.[Scott], Marron, J.S.,
Tree-Oriented Analysis of Brain Artery Structure,
JMIV(50), No. 1-2, September 2014, pp. 126-143.
Springer DOI 1408
BibRef

Dou, Q., Chen, H., Yu, L., Zhao, L., Qin, J., Wang, D., Mok, V.C., Shi, L., Heng, P.A.,
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks,
MedImg(35), No. 5, May 2016, pp. 1182-1195.
IEEE DOI 1605
Biomarkers BibRef

Monti, S., Cocozza, S., Borrelli, P., Straub, S., Ladd, M.E., Salvatore, M., Tedeschi, E., Palma, G.,
MAVEN: An Algorithm for Multi-Parametric Automated Segmentation of Brain Veins From Gradient Echo Acquisitions,
MedImg(36), No. 5, May 2017, pp. 1054-1065.
IEEE DOI 1609
Algorithm design and analysis, Diseases, Image segmentation, Magnetic resonance imaging, Manuals, Nonhomogeneous media, Veins, Brain veins, MRI, segmentation, vesselness BibRef


Kocinski, M., Materka, A., Elgalal, M., Majos, A.,
On accuracy of personalized 3D-printed MRI-based models of brain arteries,
WSSIP17(1-5)
IEEE DOI 1707
Arteries, Biomedical imaging, Image resolution, Image segmentation, Skeleton, Solid modeling, Three-dimensional displays, 3D printing, Centerline-radius modeling, Level set segmentation, Personalized blood vessels phantom, Subpixel, accuracy BibRef

Kocinski, M., Materka, A., Deistung, A., Reichenbach, J., Lundervold, A.,
Towards multi-scale personalized modeling of brain vasculature based on magnetic resonance image processing,
WSSIP17(1-5)
IEEE DOI 1707
Arteries, Biomedical imaging, Blood, Brain modeling, Computational modeling, Veins, Multi-scale modeling, blood vessel segmentation, cerebral vasculature, subpixel, accuracy BibRef

Jerman, T., Pernuš, F., Likar, B., Špiclin, Ž., Chien, A.,
Automatic cutting plane identification for computer-aided analysis of intracranial aneurysms,
ICPR16(1484-1489)
IEEE DOI 1705
Aneurysm, Image segmentation, Manuals, Neck, Shape, Surface morphology, Three-dimensional, displays BibRef

Bendaoudi, H., Cheriet, F., Langlois, J.M.P.,
Memory efficient Multi-Scale Line Detector architecture for retinal blood vessel segmentation,
DASIP16(59-64)
IEEE DOI 1704
blood vessels BibRef

Fu, Y.[Yang], Fang, J.[Jiawen], Quachtran, B.[Benjamin], Chachkhiani, N.[Natia], Scalzo, F.[Fabien],
Vessel Detection on Cerebral Angiograms Using Convolutional Neural Networks,
ISVC16(I: 659-668).
Springer DOI 1701
BibRef

Tang, A.[Alice], Scalzo, F.[Fabien],
Similarity Metric Learning for 2D to 3D Registration of Brain Vasculature,
ISVC16(I: 3-12).
Springer DOI 1701
BibRef

Ding, Y.[Yu], Nicolescu, M.[Mircea], Farmer, D.[Dan], Wang, Y.[Yao], Bebis, G.[George], Scalzo, F.[Fabien],
Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms,
ISVC16(I: 35-44).
Springer DOI 1701
BibRef

Quachtran, B.[Benjamin], Sheth, S.I.[Sun-Il], Saver, J.L.[Jeffrey L.], Liebeskind, D.S.[David S.], Scalzo, F.[Fabien],
Probabilistic Labeling of Cerebral Vasculature on MR Angiography,
ISVC15(I: 538-548).
Springer DOI 1601
BibRef

Yang, X.[Xin], Cheng, K.T.T.[Kwang-Ting Tim], Chien, A.[Aichi],
Accurate Vessel Segmentation with Progressive Contrast Enhancement and Canny Refinement,
ACCV14(III: 1-16).
Springer DOI 1504
BibRef
And:
Geodesic Active Contours with Adaptive Configuration for Cerebral Vessel and Aneurysm Segmentation,
ICPR14(3209-3214)
IEEE DOI 1412
Accuracy BibRef

Chan, S.L.S., Gal, Y.,
Automatic Detection of Arterial Voxels in Dynamic Contrast-Enhanced MR Images of the Brain,
DICTA12(1-7).
IEEE DOI 1303
BibRef

Suniaga, S.[Santiago], Werner, R.[Rene], Kemmling, A.[Andre], Groth, M.[Michael], Fiehler, J.[Jens], Forkert, N.D.[Nils Daniel],
Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets,
MLMI12(63-69).
Springer DOI 1211
BibRef

Maumet, C.[Camille], Maurel, P.[Pierre], Ferré, J.C.[Jean-Christophe], Barillot, C.[Christian],
Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling,
MBIA12(215-224).
Springer DOI 1210
BibRef

Hassan, S.[Sahar], Hétroy, F.[Franck], Faure, F.[François], Palombi, O.[Olivier],
Automatic Localization and Quantification of Intracranial Aneurysms,
CAIP11(I: 554-562).
Springer DOI 1109
BibRef

Lederman, C.[Carl], Vese, L.[Luminita], Chien, A.[Aichi],
Registration for 3D Morphological Comparison of Brain Aneurysm Growth,
ISVC11(I: 392-399).
Springer DOI 1109
BibRef

Tankyevych, O.[Olena], Talbot, H.[Hugues], Dokladal, P.[Petr], Passat, N.[Nicolas],
Direction-adaptive grey-level morphology. application to 3D vascular brain imaging,
ICIP09(2261-2264).
IEEE DOI 0911
BibRef

Copeland, A., Mangoubi, R., Desai, M., Mitter, S., Malek, A.,
Enhancing the surgeons reality: Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of cerebrovascular surgery,
AIPR09(1-4).
IEEE DOI 0910
BibRef

Zhu, Z.[Zhen], Tsiamyrtzis, P.[Panagiotis], Pavlidis, I.[Ioannis],
The Segmentation of the Supraorbital Vessels in Thermal Imagery,
AVSBS08(237-244).
IEEE DOI 0809
BibRef

Jiang, S.F.[Shao-Feng], Chen, W.F.[Wu-Fan], Feng, Q.J.[Qian-Jin], Yang, S.[Suhua],
Weighted Fuzzy Feature Matching for Region-Based Medical Image Retrieval: Application to Cerebral Hemorrhage Computerized Tomography,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Deneux, T.[Thomas], Vanzetta, I.[Ivo], Masson, G.S.[Guillaume S.], Faugeras, O.D.[Olivier D.],
Cerebral blood flow recorded at high sensitivity in two dimensions using high resolution optical imaging,
INRIARR-5759, 2005.
HTML Version. BibRef 0500

El-Baz, A.S.[Ayman S.], Farag, A.[Aly], Gimel'farb, G.L.[Georgy L.], El-Ghar, M.A.[Mohamed A.], Eldiasty, T.[Tarek],
Probabilistic Modeling of Blood Vessels for Segmenting MRA Images,
ICPR06(III: 917-920).
IEEE DOI 0609
BibRef

El-Baz, A.S.[Ayman S.], Farag, A.[Aly], Gimel'farb, G.L.[Georgy L.],
Cerebrovascular Segmentation by Accurate Probabilistic Modeling of TOF-MRA Images,
SCIA05(1128-1137).
Springer DOI 0506
BibRef

El-Baz, A.S.[Ayman S.], Farag, A.[Aly], Gimel'farb, G.L.[Georgy L.],
MGRF Controlled Stochastic Deformable Model,
SCIA05(1138-1147).
Springer DOI 0506
BibRef

Székely, G., Gerig, G., Koller, T., Brechbühler, C., Kübler, O.,
Analysis of MR angiography volume data leading to the structural description of the cerebral vessel tree,
CAIP93(687-692).
Springer DOI 9309

WWW Link. BibRef

Chen, C.H.[Chun-Han], Yu, Y.C.[Yen-Ching], Guo, J.K.[Jinn-Kwei], Chen, C.H.[Chin-Hsing], Sun, Y.N.[Yung-Nein], Yu, C.I.,
3-D cerebral vessel reconstruction from angiograms,
CAIP93(649-656).
Springer DOI 9309
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Brain, Cortex, MRI Segmentation .


Last update:Sep 18, 2017 at 11:34:11