Pilot study of improved lesion characterization in breast MRI using a 3D radial balanced SSFP technique with isotropic resolution and efficient fat-water separation

Catherine J. Moran, Frederick Kelcz, Youngkyoo Jung, Ethan K. Brodsky, Sean B. Fain, Walter F. Block

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Purpose: To assess a 3D radial balanced steady-state free precession (SSFP) technique that provides submillimeter isotropic resolution and inherently registered fat and water image volumes in comparison to conventional T2-weighted RARE imaging for lesion characterization in breast magnetic resonance imaging (MRI). Materials and Methods: 3D projection SSFP (3DPR-SSFP) combines a dual half-echo radial k-space trajectory with a linear combination fat/water separation technique (linear combination SSFP). A pilot study was performed in 20 patients to assess fat suppression and depiction of lesion morphology using 3DPR-SSFP. For all patients fat suppression was measured for the 3DPR-SSFP image volumes and depiction of lesion morphology was compared against corresponding T2-weighted fast spin echo (FSE) datasets for 15 lesions in 11 patients. Results: The isotropic 0.63 mm resolution of the 3DPRSSFP sequence demonstrated improved depiction of lesion morphology in comparison to FSE. The 3DPR-SSFP fat and water datasets were available in a 5-minute scan time while average fat suppression with 3DPR-SSFP was 71% across all 20 patients. Conclusion: 3DPR-SSFP has the potential to improve the lesion characterization information available in breast MRI, particularly in comparison to conventional FSE. A larger study is warranted to quantify the effect of 3DPRSSFP on specificity.

Original languageEnglish (US)
Pages (from-to)135-144
Number of pages10
JournalJournal of Magnetic Resonance Imaging
Volume30
Issue number1
DOIs
StatePublished - Jul 1 2009

Keywords

  • Breast imaging
  • bSSFP
  • Cancer imaging
  • LC-SSFP
  • Radial acquisition

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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