Magnetic Resonance Mammography (MRM): A Promising Application for Fat Suppression by Phase Unwrapping in the 3-Point-Dixon Method.

Abstract

Purpose: This study was undertaken (1) to further develop Phase Unwrapping in the 3-Point- Dixon Method (PU3PD) for Magnetic Resonance Mammography (MRM) on a V. 5.4 GE Signa 1.5 T MR1 scanner, (2) to compare the PU3PD technique to conventional methods for fat signal elimination (subtraction 3D SPGR and FATSAT) in MRM. Subjects and Methods: 17 female patients (32-74 years; mean 48.76 years) with 18 mammographically suspicious lesions were enrolled. 18 sets of unilateral 3D SPGR and PU3PD images and 11 sets of bilateral FATS AT and PU3PD images were obtained following i.v. gadolinium contrast media administration. Results: PU3PD was preferred 89% over subtraction 3D SPGR and 73% over FATSAT images for fat elimination and 89% and 55% for lesion characterization. Pathologic confirmation was available for 15/18 lesions. PU3PD afforded improved lesion characterization than 3D SPGR as PU3PD images were not plagued by subtraction artifact. Bilateral FATSAT and PU3PD, performed at the end of each study both afforded suboptimal lesion/region characterization. Conclusion: PU3PD can provide better fat signal elimination than subtraction 3D SPGR and FATS AT. Lesion morphology on PU3PD images can be superior to subtraction 3D SPGR. PU3PD was developed for a v. 5.4 GE Signa 1.5 T MRI scanner.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1996
Accession Number
ADA315946

Entities

People

  • Vincent B. Ho

Organizations

  • Madigan Army Medical Center

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Artifacts
  • Biomedical Research
  • Breast Cancer
  • Carcinoma
  • Contrast
  • Contrast Media
  • Elimination
  • Films
  • Gadolinium
  • Magnetic Resonance
  • Mammography
  • Materials
  • Medical Personnel
  • Neoplasms
  • Resonance
  • Three Dimensional

Fields of Study

  • Medicine
  • Physics

Readers

  • Image Processing and Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.
  • Small Business Innovation Research Program (SBIR) EDI Research and Innovation.