TY - GEN
T1 - Grafip
T2 - 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007
AU - Atif, J.
AU - Hudelot, C.
AU - Nempont, O.
AU - Richard, N.
AU - Batrancourt, B.
AU - Angelini, E.
AU - Bloch, I.
PY - 2007/1/1
Y1 - 2007/1/1
N2 - This paper presents a contribution to the large problematic of integrating medical image-based information into a structured framework (such as electronic patient records or anatomofunctional databases). In neuroscience, the complexity of the cerebral anatomy, the wealth of information embedded in imaging data, as well as the difficulty of their interpretation, can benefit from the use of a structural brain model representing prior generic knowledge, which includes information on anatomical structures and their spatial relations. In this paper we describe a novel generic brain model, based on graph representations, and an instantiation procedure for individual patients, based on image segmentation. A complete patientspecific modeling framework is proposed that can be integrated into powerful computational tools to assist image data reviewing, diagnosis and therapeutic patient follow up.
AB - This paper presents a contribution to the large problematic of integrating medical image-based information into a structured framework (such as electronic patient records or anatomofunctional databases). In neuroscience, the complexity of the cerebral anatomy, the wealth of information embedded in imaging data, as well as the difficulty of their interpretation, can benefit from the use of a structural brain model representing prior generic knowledge, which includes information on anatomical structures and their spatial relations. In this paper we describe a novel generic brain model, based on graph representations, and an instantiation procedure for individual patients, based on image segmentation. A complete patientspecific modeling framework is proposed that can be integrated into powerful computational tools to assist image data reviewing, diagnosis and therapeutic patient follow up.
KW - Generic brain model
KW - Graphs
KW - Individual model
KW - Knowledge representation
UR - https://www.scopus.com/pages/publications/36349031186
U2 - 10.1109/ISBI.2007.356824
DO - 10.1109/ISBI.2007.356824
M3 - Conference contribution
AN - SCOPUS:36349031186
SN - 1424406722
SN - 9781424406722
T3 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
SP - 205
EP - 208
BT - 2007 4th IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
Y2 - 12 April 2007 through 15 April 2007
ER -