Semi-automatic volumetrics system to parcellate ROI on neocortex

Ou Tan; Tetsuya Ichimiya; Fumihiko Yasuno; Tetsuya Suhara

doi:10.1117/12.467146

9 May 2002 Semi-automatic volumetrics system to parcellate ROI on neocortex

Ou Tan, Tetsuya Ichimiya, Fumihiko Yasuno, Tetsuya Suhara

Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467146
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

A template-based and semi-automatic volumetrics system--BrainVol is build to divide the any given patient brain to neo-cortical and sub-cortical regions. The standard region is given as standard ROI drawn on a standard brain volume. After normalization between the standard MR image and the patient MR image, the sub-cortical ROIs' boundary are refined based on gray matter. The neo-cortical ROIs are refined by sulcus information that is semi-automatically marked on the patient brain. Then the segmentation is applied to 4D PET image of same patient for calculation of TAC (Time Activity Curve) by co-registration between MR and PET.

Citation Download Citation

Ou Tan, Tetsuya Ichimiya, Fumihiko Yasuno, and Tetsuya Suhara "Semi-automatic volumetrics system to parcellate ROI on neocortex", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467146

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