Novel Diffusion-Weighted MRI for High-Grade Prostate Cancer Detection
Abstract
Matching in-vivo mpMRI to whole embedded RP sections is a challenging technical process given the vast difference in image resolution and scale. This process iscritical for evaluating new imaging modalities. Our initial findings illustrate the potential of the stretched exponential model parameters to better characterize high-grade prostate cancer. Additional work is underway to establish the correspondence between the DDC and a-maps with histological sections of the entire prostate gland.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2016
- Accession Number
- AD1034103
Entities
People
- Andre Kajdacsy-balla
- Brandon Caldwell
- Hong-Cai Zhou
- Michael Abern
- Peter H Gann
- Richard Magin
- Virgilia Macias
Organizations
- University of Illinois at Chicago