Coronary artery magnetic resonance imaging: A patient-tailored approach

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

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Coronary artery magnetic resonance imaging strategies have tended to focus on the use of a single method performed during either breath-holding or free-breathing for all patients. However, significant variations exist among patients in terms of breath-holding ability and respiratory regularity that make the use of a single technique alone not universally successful. Therefore, it is prudent to make available a number of magnetic resonance imaging methods such that an appropriate respiratory motion reduction strategy can be tailored to suit the patient's respiratory pattern and characteristics. A tailored approach that can draw on different image acquisition techniques for coronary artery imaging is presented. A decision tree is proposed to triage patients into imaging regimes with the greatest probability of success, according to the patient's ability to breath-hold or exhibit steady respiration. Methods include volume free-breathing acquisitions using navigator echoes for respiratory monitoring in the 8- to 10-min scan time range, two-dimensional spiral navigators (2- to 3-min scan time), breath-held multislice and vessel-tracking spirals (16- to 20-second scan time), and real-time imaging approaches incorporating adaptive signal averaging. The development of multiple acquisition strategies substantially improves the opportunities to generate high-quality, diagnostic images of the coronary arteries.

Original languageEnglish (US)
Pages (from-to)406-416
Number of pages11
JournalTopics in Magnetic Resonance Imaging
Volume11
Issue number6
DOIs
StatePublished - 2000

Keywords

  • Cardiac magnetic resonance imaging
  • Coronary artery angiography
  • Pulse sequences
  • Respiratory compensation
  • Spiral imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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