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Proceedings Paper

Recent advances in 3D-CSC based MR brain image segmentation
Author(s): Frank Schmitt; Lutz Priese
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Paper Abstract

The 3D-CSC is a general segmentation method for voxel images. One of its possible applications is the segmentation of MR images of the human head. We here propose a self-contained method consisting of preprocessing steps which remove common artifacts from the input image, a 3D-CSC segmentation which partitions the input image into gray value similar, spatially connected regions and a final classification of CSC segments into white matter, gray matter and non-brain. We evaluate our method using the brainweb dataset for which a ground truth is available.

Paper Details

Date Published: 11 March 2008
PDF: 12 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 691438 (11 March 2008); doi: 10.1117/12.768505
Show Author Affiliations
Frank Schmitt, Univ. Koblenz-Landau (Germany)
Lutz Priese, Univ. Koblenz-Landau (Germany)

Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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