Related Experiment Video For MRI fusion
Updated: Aug 1, 2025
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Tumor Area Highlighting Using T2WI, ADC Map, and DWI Sequence Fusion on bpMRI Images for Better Prostate Cancer
Rossy Vlăduț Teică1, Mircea-Sebastian Șerbănescu2, Lucian Mihai Florescu3
1Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Abstract:
Prostate cancer is the second most common cancer in men worldwide. The results obtained in magnetic resonance imaging examinations are used to decide the indication, type, and location of a prostate biopsy and contribute information about the characterization or aggressiveness of detected cancers, including tumor progression over time. This study proposes a method to highlight prostate lesions with a high and very high risk of being malignant by overlaying a T2-weighted image, apparent diffusion coefficient map, and diffusion-weighted image sequences using 204 pairs of slices from 80 examined patients. It was reviewed by two radiologists who segmented suspicious lesions and labeled them according to the prostate imaging-reporting and data system (PI-RADS) score. Both radiologists found the algorithm to be useful as a "first opinion", and they gave an average score on the quality of the highlight of 9.2 and 9.3, with an agreement of 0.96.
