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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-56447

Frick, M; Paetsch, I; den Harder, C; Kouwenhoven, M; Heese, H; Dries, S; Schnackenburg, B; de Kok, W; Gebker, R; Fleck, E; Manka, R; Jahnke, C (2011). Fully automatic geometry planning for cardiac MR imaging and reproducibility of functional cardiac parameters. Journal of Magnetic Resonance Imaging, 34(2):457-467.

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PURPOSE: To establish operator-independent, fully automated planning of standard cardiac geometries and to determine the impact on interstudy reproducibility of cardiac functional parameters. MATERIALS AND METHODS: Cardiac MR imaging was done in 50 patients referred for left-ventricular function assessment. In all patients, first standard manual planning was performed followed by automatic planning (AUTO1) and repeat automatic planning (AUTO2) after repositioning the patient to investigate interstudy reproducibility. Cardiac functional parameters were assessed and cine scans were visually graded on a 4-point scale from nondiagnostic to excellent. RESULTS: Overall success rate of AUTO was 94% with good to excellent geometry planning in >94% of cine standard views. Comparing manual versus fully automated planning, a high agreement of cardiac functional parameters (Lin's concordance correlation coefficient, 0.91 to 0.99) with minimal percent bias (0.24 to 3.84%) was found. In addition, a high interstudy reproducibility of automatic planning was demonstrated (Lin's concordance correlation coefficient, 0.89 to 0.99; percent bias, 0.38 to 5.04%; precision, 3.46 to 9.09%). CONCLUSION: Fully automated planning of cardiac geometries could reliably be performed in patients showing a variety of cardiovascular pathologies. Standard cardiac geometries were precisely replicated and functional parameters were highly accurate. Copyright © 2011 Wiley-Liss, Inc.




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Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Cardiology
04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Deposited On:22 Jan 2012 14:41
Last Modified:07 Dec 2013 04:18
Publisher DOI:10.1002/jmri.22626
PubMed ID:21780236

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