Improved lesion detection in MR mammography: Three-dimensional segmentation, moving voxel sampling, and normalized maximum intensity-time ratio entropy

Abstract

Rationale and Objectives. The objective of this work was to develop a quantitative method for improving lesion detection in dynamic contrast-enhanced magnetic resonance mammography (DCEMRM). For this purpose, we segmented and analyzed suspicious regions according to their contrast enhancement dynamics, generated a normalized maximum intensity-time ratio (nMITR) projection, and explored it to extract important features, to improve accuracy and reproducibility of detection.