20.9.2.1 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 Version. 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 Version. 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 Version. BibRef 0100

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

Bullitt, E., Gerig, G., Pizer, S.M.[Stephen M.], Lin, W.[Weili], 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 Link 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 Link 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 Version. 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 Link 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 Link 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 Link 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 Link 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 Link 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 Link 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 Link 1112
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 Link 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 Link 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 Link 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 Link 0910
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 Link 0806
BibRef

Deneux, T.[Thomas], Vanzetta, I.[Ivo], Masson, G.[Guillaume], 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 Link 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 Link 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 Link 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 Link 9309

WWW Version. 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 Link 9309
BibRef

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


Last update:May 16, 2012 at 20:31:07