An automatic algorithm for rapid and accurate extraction of the human ventricular system from T2-weighted MR images

12 May 2004 An automatic algorithm for rapid and accurate extraction of the human ventricular system from T2-weighted MR images

Hui Tian, Su Huang, Qingmao Hu, Aamer Aziz M.D., Wieslaw L. Nowinski

Author Affiliations +

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.535011
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

Our previous work to segment the complete ventricular system from T1-weighted and SPGR MR images is extended here to deal with T2-weighted MR images. For each ventricle, a region of interest is determined first and its local statistics is calculated to find the intensity ranges of cerebrospinal fluid, grey matter and white matter. Then, region growing is performed in each ventricle based on the calculated statistics. During region growing, anti-leakage conditions are checked to prevent growing into extraventricular spaces. With the incorporation of domain knowledge, radiological properties and geometrical constraints, the algorithm provides a means for the extraction of the ventricular system from T2-weighted MR images. Initial experimental results are presented with the extracted third and fourth ventricles.

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Hui Tian, Su Huang, Qingmao Hu, Aamer Aziz M.D., and Wieslaw L. Nowinski "An automatic algorithm for rapid and accurate extraction of the human ventricular system from T2-weighted MR images", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.535011

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