Respiratory optimized data selection for more resilient self-navigated whole-heart coronary MR angiography.

Details

Serval ID
serval:BIB_F93760508C85
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Respiratory optimized data selection for more resilient self-navigated whole-heart coronary MR angiography.
Journal
Magma
Author(s)
Chaptinel J., Piccini D., Bonanno G., Coppo S., Monney P., Stuber M., Schwitter J.
ISSN
1352-8661 (Electronic)
ISSN-L
0968-5243
Publication state
Published
Issued date
06/2017
Peer-reviewed
Oui
Volume
30
Number
3
Pages
215-225
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Our objective was to test a data-exclusion strategy for respiratory motion suppression by retrospectively eliminating data acquired at extreme respiratory positions for improved coronary vessel sharpness (VS) of 1-D self-navigated 3-D radial whole-heart coronary angiography acquisitions.
3-D radial self-navigated acquisitions were performed on a 1.5T scanner in volunteers during free-breathing (n = 8), in coached volunteers (n = 13) who were asked to breathe in a controlled manner to mimic cardiovascular patients presenting with Cheyne-Stokes breathing, and in free-breathing patients (n = 20). Data collected during large respiratory excursions were gradually excluded retrospectively from the reconstruction yielding 14 data sets per subject on average. The impact on VS, blood and myocardium signal-to-noise and contrast-to-noise was measured. From these results, two retrospective gating strategies were defined for the k-line elimination procedure and tested in all groups.
Maximum right coronary artery VS improvement was +7.4 and +2.7% in coached volunteers and patients (P < 0.0001 for both), respectively, and 1.6% for the free-breathing volunteers (P = 0.13). The first gating strategy was defined as a fixed undersampling factor of 5 compared to a fully sampled 3-D radial acquisition, yielding significant VS improvement in coached volunteers and patients while myocardial signal-to-noise decreased in these. The second strategy was defined as a fixed gating window of 5.7 mm, leading to similar improvements.
The presented strategies improve image quality of self-navigated acquisitions by retrospectively excluding data collected during end-inspiration.

Keywords
Adult, Artifacts, Cardiac-Gated Imaging Techniques/methods, Coronary Angiography/methods, Female, Heart Diseases/diagnostic imaging, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Imaging, Three-Dimensional/methods, Magnetic Resonance Angiography/methods, Male, Motion, Reproducibility of Results, Respiratory Mechanics, Respiratory-Gated Imaging Techniques/methods, Sensitivity and Specificity, 3-D radial, Coronary angiography, Motion correction, Phyllotaxis, Self-navigation
Pubmed
Web of science
Create date
05/12/2016 18:12
Last modification date
20/08/2019 16:25
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