Comprehensive brain analysis with automated high-resolution magnetization transfer measurements

Ying Wu*, Hongyan Du, Pippa Storey, Christopher Glielmi, Fiona Malone, Shawn Sidharthan, Ann Ragin, Paul S. Tofts, Robert R. Edelman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Purpose: To enhance the reliability and spatial resolution of magnetization transfer ratio (MTR) measurements for interrogation of subcortical brain regions with an automated volume of interest (VOI) approach. Materials and Methods: A 3D magnetization transfer (MT) sequence was acquired using a scan-rescan imaging protocol in nine healthy volunteers. VOI definition masks for the MTR measurements were generated using FreeSurfer and compared to a manual region of interest (ROI) approach. (The longitudinal stability of MTR was monitored using agar gel phantom over a 5-month period.) Intraclass correlation coefficients (ICCs), coefficients of variation (CVs), and instrumental standard deviation (ISD) were determined. Results: CVs ranged from 1.29%-2.64% (automated) vs. 1.30%-3.40% (manual). ISDs ranged from 0.62-1.10 pu (automated) vs. 0.68-1.67 pu (manual). The SD of the running difference was 1.70% for the phantom scans. The Bland-Altman method indicated interchangeability of the automated VOI and manual ROI measurements. Conclusion: The automated VOI approach for MTR measurement yielded higher ICCs, lower CVs, and lower ISDs compared to the manual method, supporting the utility of this strategy. These results demonstrate the feasibility of obtaining reliable MTR measurements in hippocampus and other critical subcortical regions.

Original languageEnglish (US)
Pages (from-to)309-317
Number of pages9
JournalJournal of Magnetic Resonance Imaging
Volume35
Issue number2
DOIs
StatePublished - Feb 2012

Keywords

  • 3T
  • magnetization transfer imaging
  • magnetization transfer ratio
  • reproducibility
  • segmentation
  • volume of interest

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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