High-resolution steady-state free precession coronary magnetic resonance angiography within a breath-hold: Parallel imaging with extended cardiac data acquisition

Jaeseok Park, Andrew C. Larson, Qiang Zhang, Orlando Simonetti, Debiao Li*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Coronary artery imaging data are conventionally acquired in a single imaging frame during mid-diastole. The data acquisition window must be sufficiently short to avoid cardiac motion artifacts. A short data acquisition window results in decreased imaging efficiency and limited spatial resolution. Parallel imaging may lessen these limitations, but requires highly accurate coil sensitivity. The purpose of this work was to increase the imaging efficiency and spatial resolution in coronary artery imaging using parallel imaging with an extended acquisition window. External coil calibration data were acquired before and after a short mid-diastolic period of accelerated imaging data acquisition. It was assumed that residual cardiac motion in the extended acquisition window would not impede accurate estimation of coil sensitivity since only low spatial frequency signals were acquired for coil calibration. Experimental studies were performed in five healthy volunteers at 3 T using steady-state free precession sequence. Statistical comparison was made between the proposed method and conventional data acquisition for visual quality of image and vessel sharpness. The proposed technique demonstrated higher visual grading and improved vessel sharpness. The proposed method is a new approach to enhance the imaging efficiency and spatial resolution in coronary artery imaging.

Original languageEnglish (US)
Pages (from-to)1100-1106
Number of pages7
JournalMagnetic resonance in medicine
Volume54
Issue number5
DOIs
StatePublished - Nov 2005

Funding

Keywords

  • Coronary MRA
  • Magnetic resonance imaging (MRI)
  • Parallel MRI
  • Rapid imaging
  • SSFP

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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