By Topic

Automatic segmentation of internal structures of the brain in MR images using a tandem of affine and non-rigid registration of an anatomical brain atlas

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Cuadra, M.B. ; Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland ; Cuisenaire, O. ; Meuli, R. ; Thiran, J.

In the study of many neurological pathologies, the accurate quantization of the white matter (WM) and gray matter (GM) volumes of the brain is essential Moreover, regional volume calculations may bring even more useful diagnostic information. We present therefore the segmentation of internal structures of the brain for further regional WM and GM volume quantization. A priori information about the brain anatomy is included in the segmentation process by the registration of the patient MR images with a computerized brain atlas. We propose the combination of a global affine transformation used to initialize key boundary surfaces (lateral ventricles and cortical surfaces) of both images with a local free-form transformation based on an optical flow algorithm. We apply this technique to segment the cerebellum and the cerebral trunk in order to exclude them from our WM and GM volume quantization. Validation has been conducted on a large number of images, showing excellent results

Published in:

Image Processing, 2001. Proceedings. 2001 International Conference on  (Volume:3 )

Date of Conference:

2001