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

Ertas G., Guelcuer O., Tunaci M.

ACADEMIC RADIOLOGY, vol.14, no.2, pp.151-161, 2007 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 14 Issue: 2
  • Publication Date: 2007
  • Doi Number: 10.1016/j.acra.2006.11.003
  • Journal Name: ACADEMIC RADIOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.151-161
  • Istanbul University Affiliated: No

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.