Meeting Banner
Abstract #4708

Computer-Aided GBM Tumor ROI Contouring and Mapping Framework for Structural and Physiological MR Images in a Multi-Center Clinical Trial

Jing Huo1, Matthew S. Brown1, Jeffry R. Alger2,3, Whitney B. Pope3, Hyun J. Kim3, Jonathan G. Goldin3

1Department of Radiological Sciences , UCLA, Los Angeles, CA, USA; 2Department of Neurology, UCLA, Los Angeles, CA, USA; 3Department of Radiological Sciences, UCLA, Los Angeles, CA, USA

The main contribution is to develop a computer-aided 3D multi-modal tool for clinical trials with GBM brain tumor. First we developed a 3D semi-automated segmentation tool to contour the tumor on T1-weighted contrast-enhanced volumetric images and then a 3D tumor ROI mapping tool to map the tumor contours from T1w images onto all the physiological images including dynamic contrast enhance (DCE) images, dynamic susceptibility contrast-enhanced (DSC) and diffusion-weighted (DW) images. We applied the tool to about 650 scans and did the quantitative evaluation with a sub-group of 31 patients. 20 out of 31(64.5%) have over 90% overlap ratio.