Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

• DOI: 10.1007/978-3-319-75238-9_12
• Publication Date: 2018-02-16T08:02:59Z
• Authors: Saima Rathore; Spyridon Bakas; Sarthak Pati; Hamed Akbari; Ratheesh Kalarot; Patmaa Sridharan; Martin Rozycki; Mark Bergman; Birkan Tunc; Ragini Verma; Michel Bilello; Christos Davatzikos
• Keywords: 03 medical and health sciences; 0302 clinical medicine; 3. Good health

Quantitative research, especially in the field of radio(geno)mics, has helped us understand fundamental mechanisms of neurologic diseases. Such research is integrally based on advanced algorithms to derive extensive radiomic features and integrate them into diagnostic and predictive models. To exploit the benefit of such complex algorithms, their swift translation into clinical practice is required, currently hindered by their complicated nature. brain-CaPTk is a modular platform, with components spanning across image processing, segmentation, feature extraction, and machine learning, that facilitates such translation, enabling quantitative analyses without requiring substantial computational background. Thus, brain-CaPTk can be seamlessly integrated into the typical quantification, analysis and reporting workflow of a radiologist, underscoring its clinical potential. This paper describes currently available components of brain-CaPTk and example results from their application in glioblastoma.