Skip to main navigation Skip to search Skip to main content

Optimization of Image Quality for Quantitative Multicontrast Atherosclerosis Characterization (qMATCH): Comparison between Transverse and Coronal Acquisitions

  • Yin Chen Hsu
  • , Meng Lu
  • , Aaron Llanes
  • , Mary J. Keushkerian
  • , Kim Lien Nguyen
  • , Kevin Johnson
  • , Maria I. Altbach
  • , H. Douglas Morris
  • , J. Kevin Demarco
  • , Vibhas Deshpande
  • , Dimitrios Mitsouras
  • , David Saloner
  • , Scott Mcnally
  • , Seong Eun Kim
  • , John Roberts
  • , Rock Hadley
  • , Gerald S. Treiman
  • , Dennis L. Parker
  • , Debiao Li
  • , Yibin Xie*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The quantitative multicontrast atherosclerosis characterization (qMATCH) technique enables high-resolution 3D multicontrast evaluation of carotid atherosclerosis, but the optimal acquisition orientation for reproducible image quality remains unclear. This prospective study compared image quality, motion robustness, and reproducibility between transverse and coronal qMATCH acquisitions. Thirty participants with moderate-to-severe carotid stenosis each underwent 2 scans, totaling 60 imaging sessions. Coronal imaging demonstrated significantly fewer motion artifacts compared with transverse imaging (34.7% versus 41.5%; P < .05) and yielded higher image quality scores (2.78 versus 2.72; P < .05) and arterial wall apparent SNR (5.10 versus 4.36; P < .05). In motion-corrupted images, coronal imaging also showed superior image quality (2.75 versus 2.65; P < .05) and arterial wall apparent SNR (4.89 versus 4.03; P < .05). Reproducibility for T1/T2 quantification was better for coronal acquisitions, particularly in motion-affected cases. These findings suggest that coronal qMATCH is more robust for motion-prone patients and better suited for longitudinal carotid imaging studies.

Original languageEnglish
Pages (from-to)1657-1663
Number of pages7
JournalAmerican Journal of Neuroradiology
Volume47
Issue number6
DOIs
StatePublished - 1 Jun 2026

Fingerprint

Dive into the research topics of 'Optimization of Image Quality for Quantitative Multicontrast Atherosclerosis Characterization (qMATCH): Comparison between Transverse and Coronal Acquisitions'. Together they form a unique fingerprint.

Cite this