Title :
Brain shape homologous modeling using sulcal-distribution index in MR images
Author :
Yamaguchi, Kosuke ; Kobashi, Syoji ; Mohri, Ikuko ; Imawaki, Seturo ; Taniike, Masako ; Hata, Yutaka
Author_Institution :
Grad. Sch. of Eng., Univ. of Hyogo, Hyogo, Japan
Abstract :
The brain shape is deformed regionally by kinds of cerebral diseases and the degree of progress. Therefore quantitative evaluation of the deformation using MR images is effective for diagnosis of cerebral diseases. To evaluate the cerebral deformation, almost conventional methods are based on normalization of the brain shape which deforms the evaluating brain into the standardized brain. Because the normalization process does not take into account anatomical features such as the cerebral sulci and gyri, in some cases the normalization process produces that one sulcus of the evaluating brain miss-corresponds to the other sulcus of the standardized brain. This paper proposes a homologous brain shape modeling method for quantitative evaluation of the brain shape in MR images. We define a new image feature called sulcal-distribution index (SDI) to represent the 3-D distribution of sulci, and the proposed method deforms a template brain model so that SDI of the deformed brain model calculated from the evaluating brain MR images is similar to SDI of the template brain model. By using SDI, the proposed method can take into account anatomical features of the cerebral sulci. The experimental results showed that the proposed method homologically modeled the brain shape with a mean displacement of 1.3 mm.
Keywords :
biomedical MRI; brain models; deformation; image segmentation; medical image processing; brain shape; deformation; homologous modeling; image feature; image segmentation; magnetic resonance imaging; mean displacement; sulcal-distribution index; sulci 3-D distribution; Biomedical imaging; Brain modeling; Cybernetics; Deformable models; Diseases; Image segmentation; Immune system; Medical diagnostic imaging; Shape control; USA Councils; brain deformation; brain shape; brain shape homologous modeling; cerebral sulcus; magnetic resonance image;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5345971