Adaptive vessel tracking: Automated computation of vessel trajectories for improved efficiency in 2D coronary MR angiography

Manojkumar Saranathan, Vincent B. Ho, Maureen N. Hood, Thomas K.F. Foo, Christopher J. Hardy

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

A new method was investigated for improving the efficiency of ECG-gated coronary magnetic resonance angiography (CMRA) by accurate, automated tracking of the vessel motion over the cardiac cycle. Vessel tracking was implemented on a spiral gradient-echo pulse sequence with sub-millimeter in-plane spatial resolution as well as high image signal to noise ratio. Breath hold 2D CMRA was performed in 18 healthy adult subjects (mean age 46±14 years). Imaging efficiency, defined as the percentage of the slices where more than 30 mm of the vessel is visualized, was computed in multi-slice spiral scans with and without vessel tracking. There was a significant improvement in the efficiency of the vessel tracking sequence compared to the multi-slice sequence (56% vs. 32%, P <0.001). The imaging efficiency increased further when the true motion of the coronary arteries (determined using a cross correlation algorithm) was used for vessel tracking as opposed to a linear model for motion (71% vs. 57%, P <0.05). The motion of the coronary arteries was generally found to be linear during the systolic phase and nonlinear during the diastolic phase. The use of subject-tailored, automated tracking of vessel positions resulted in improved efficiency of coronary artery illustration on breath held 2D CMRA.

Original languageEnglish (US)
Pages (from-to)368-373
Number of pages6
JournalJournal of Magnetic Resonance Imaging
Volume14
Issue number4
DOIs
StatePublished - 2001
Externally publishedYes

Keywords

  • CMRA
  • Multi-slice
  • Spiral imaging
  • Vessel tracking

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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