Direct coronary motion extraction from a 2D fat image navigator for prospectively gated coronary MR angiography.

TitleDirect coronary motion extraction from a 2D fat image navigator for prospectively gated coronary MR angiography.
Publication TypeJournal Article
Year of Publication2014
AuthorsKawaji K, Spincemaille P, Nguyen TD, Thimmappa N, Cooper MA, Prince MR, Wang Y
JournalMagn Reson Med
Volume71
Issue2
Pagination599-607
Date Published2014 Feb
ISSN1522-2594
KeywordsAdult, Coronary Angiography, Coronary Vessels, Diaphragm, Humans, Magnetic Resonance Angiography, Software
Abstract

PURPOSE: Direct 2D tracking of cardiac motion may provide superior respiratory navigator gating for coronary magnetic resonance angiography compared to conventional liver-diaphragm navigators. However, additional 2D processing for motion extraction is unsuitable for real-time prospective gating. In this work, a 2D fat-selective image navigator, which delineates the epicardial fat surrounding coronary arteries, is developed to directly monitor epicardial fat motion at every heartbeat in real-time for prospective gating.

METHODS: The proposed navigator is incorporated into a real-time interactive software that allows rapid setup and efficient motion extraction, and runs on standard clinical hardware without any additional dedicated components for processing. The proposed 2D cardiac fat image navigator was compared with the conventional 1D diaphragm navigator in free-breathing b-SSFP coronary MRAs in 12 healthy volunteers at 1.5T.

RESULTS: Real-time motion extraction from 2D cardiac fat navigator images was feasible within 20 ms, enabling successful prospectively gated coronary magnetic resonance angiographies in all subjects. Compared to 1D diaphragmatic navigator, 2D fat image navigator reduced scan time by 38% (P < 0.0005), and significantly improved vessel sharpness, myocardial suppression, and image quality (P < 0.05).

CONCLUSION: This demonstrates the feasibility of a 3D SSFP coronary magnetic resonance angiography sequence using a 2D epicardial fat image as a navigator for real-time prospective motion tracking.

DOI10.1002/mrm.24698
Alternate JournalMagn Reson Med
PubMed ID23504975
Grant ListR01 HL064647 / HL / NHLBI NIH HHS / United States
R01HL064647 / HL / NHLBI NIH HHS / United States
Related Institute: 
MRI Research Institute (MRIRI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065