University of Wisconsin–Madison

Optimization of Image Parameters for DISCO Breast Imaging

May 2015 to May 2016

An integral part of clinical breast MRI exams is a set of dynamic contrast-enhanced images that are used to detect breast lesions and characterize enhancement over time. The current clinical sequence that is used to acquired this set of images favors spatial resolution at the cost of temporal resolution. The purpose of this study is to optimize a new sequence, DIfferential Subsampling with Cartesian Ordering (DISCO), in order to replace the current clinical dynamic contrast-enhanced sequence. DISCO uses a unique k-space segmentation that is able to improve temporal resolution while maintaining high spatial resolution. The high temporal resolution could allow for better characterization of lesion enhancement as well as allow for calculations of quantitative biomarkers. This study will recruit 30 patients who have had a diagnostic clinical breast MRI displaying enhancement that could be well depicted with time-resolved MRI.

This project led by: Roberta Strigel, MD