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