Pallavi Tiwari1,
John Kurhanewicz2, Anant Madabhushi1
1Biomedical
Engineering, Case Western Reserve University, Cleveland, OH, United States; 2Radiology
and Biomedical Imaging, University of California, San Francisco, San
Francisco, CA, United States
In this work, we present an image analysis framework to quantiatively evaluate changes in strucutral, functional, and metabolic markers (obtained via T2-w, DWI, MRS respectively) to (a) identify MRI markers that correlate the most with treatment related changes post-radiation therapy (RT) in prostate cancer (CaP) patients, and (b) compute a weighted MP-MRI map by optimally combining contributions of strucutral (T2-w), functional (DWI), metabolic (MRS) markers, based on their ability to accurately capturing post-RT changes.
Keywords