Automated extraction of glioblastoma tumor sub-components using multi-modal MRI
Sushmita Datta1, Jay-Jiguang Zhu2, Roy F Riascos-Castaneda1, and Ponnada A Narayana1
1Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, TX, United States, 2Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX, United States
Automated quantification of tumors and its components are important in
monitoring disease status in glioblastoma patients. We have proposed an automatic
segmentation procedure based on morphological grayscale reconstruction
techniques to classify and identify tumor sub-regions using multi-modal MRI.
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