DocumentCode :
2521201
Title :
ADAPTIVE SEGMENTATION OF INTERNAL BRAIN STRUCTURES IN PATHOLOGICAL MR IMAGES DEPENDING ON TUMOR TYPES
Author :
Khotanlou, Hassan ; Atif, Jamal ; Angelini, Elsa ; Duffau, Hugues ; Bloch, Isabelle
Author_Institution :
CNRS, Ecole Nat. Superieure des Telecommun., Paris
fYear :
2007
fDate :
12-15 April 2007
Firstpage :
588
Lastpage :
591
Abstract :
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.
Keywords :
biomedical MRI; brain; image recognition; image segmentation; medical image processing; tumours; adaptive segmentation; internal brain structures; pathological MR images; recognition; tumor; Anatomical structure; Brain; Deformable models; Humans; Image segmentation; Magnetic resonance imaging; Neoplasms; Neurosurgery; Oncology; Pathology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
Type :
conf
DOI :
10.1109/ISBI.2007.356920
Filename :
4193354
Link To Document :
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