TY - GEN
T1 - Adaptive segmentation of internal brain structures in pathological MR images depending on tumor types
AU - Khotanlou, Hassan
AU - Atif, Jamal
AU - Angelini, Elsa
AU - Duffau, Hugues
AU - Bloch, Isabelle
PY - 2007/1/1
Y1 - 2007/1/1
N2 - This paper introduces a novel methodology for the segmentation of internal brain structures in MRI volumes in the presence of a tumor. The proposed method relies on an initial segmentation of the tumor. Based on the tumor's type, a set of spatial relations between internal structures, remaining stable even in presence of the pathology, is established. Segmentation and recognition of surrounding anatomical structures are based on prior knowledge about their spatial arrangement. Segmentation results on tumors inducing small or large deformations are provided to illustrate the potential of the approach.
AB - This paper introduces a novel methodology for the segmentation of internal brain structures in MRI volumes in the presence of a tumor. The proposed method relies on an initial segmentation of the tumor. Based on the tumor's type, a set of spatial relations between internal structures, remaining stable even in presence of the pathology, is established. Segmentation and recognition of surrounding anatomical structures are based on prior knowledge about their spatial arrangement. Segmentation results on tumors inducing small or large deformations are provided to illustrate the potential of the approach.
UR - https://www.scopus.com/pages/publications/36348999745
U2 - 10.1109/ISBI.2007.356920
DO - 10.1109/ISBI.2007.356920
M3 - Conference contribution
AN - SCOPUS:36348999745
SN - 1424406722
SN - 9781424406722
T3 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
SP - 588
EP - 591
BT - 2007 4th IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
T2 - 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007
Y2 - 12 April 2007 through 15 April 2007
ER -