Improved workflow for quantification of left ventricular volumes and mass using free-breathing motion corrected cine imaging.
Background: Traditional cine imaging for cardiac functional assessment requires breath-holding, which can be problematic in some situations. Free-breathing techniques have relied on multiple averages or real-time imaging, producing images that can be spatially and/or temporally blurred. To overcome...
| Publicado en: | Journal of Cardiovascular Magnetic Resonance (Elsevier B.V. ) Vol. 18; pp. 1 - 13 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
2/25/2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=113369504&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113369504 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1532429X 86WS jtl: Journal of Cardiovascular Magnetic Resonance (Elsevier B.V. ) issn: 1532429X maglogo: N pubinfo: dt: 2/25/2016 vid: 18 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 113369504 113369504 113369504 10.1186/s12968-016-0231-8 113369504 ppf: 1 ppct: 12 formats: tig: atl: Improved workflow for quantification of left ventricular volumes and mass using free-breathing motion corrected cine imaging. aug: au: Cross, Russell Olivieri, Laura O'Brien, Kendall Kellman, Peter Hui Xue Hansen, Michael affil: Division of Cardiology, Children's National Health System, 111 Michigan Avenue, NW, Washington, DC 20010, USA sug: subj: Heart Ventricle, Left Weights and Measures Respiration Magnetic Resonance Imaging Methods Human Systole Evaluation Diastole Evaluation Pearson's Correlation Coefficient Descriptive Statistics Interrater Reliability Paired T-Tests P-Value Breath Holding Child, Preschool Child Adolescence Adult Middle Age Male Female Confidence Intervals Data Analysis Software Funding Source Child, Preschool: 2-5 years Child: 6-12 years Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Background: Traditional cine imaging for cardiac functional assessment requires breath-holding, which can be problematic in some situations. Free-breathing techniques have relied on multiple averages or real-time imaging, producing images that can be spatially and/or temporally blurred. To overcome this, methods have been developed to acquire real-time images over multiple cardiac cycles, which are subsequently motion corrected and reformatted to yield a single image series displaying one cardiac cycle with high temporal and spatial resolution. Application of these algorithms has required significant additional reconstruction time. The use of distributed computing was recently proposed as a way to improve clinical workflow with such algorithms. In this study, we have deployed a distributed computing version of motion corrected re-binning reconstruction for free-breathing evaluation of cardiac function. Methods: Twenty five patients and 25 volunteers underwent cardiovascular magnetic resonance (CMR) for evaluation of left ventricular end-systolic volume (ESV), end-diastolic volume (EDV), and end-diastolic mass. Measurements using motion corrected re-binning were compared to those using breath-held SSFP and to free-breathing SSFP with multiple averages, and were performed by two independent observers. Pearson correlation coefficients and Bland-Altman plots tested agreement across techniques. Concordance correlation coefficient and Bland-Altman analysis tested inter-observer variability. Total scan plus reconstruction times were tested for significant differences using paired t-test. Results: Measured volumes and mass obtained by motion corrected re-binning and by averaged free-breathing SSFP compared favorably to those obtained by breath-held SSFP (r = 0.9863/0.9813 for EDV, 0.9550/0.9685 for ESV, 0.9952/0.9771 for mass). Inter-observer variability was good with concordance correlation coefficients between observers across all acquisition types suggesting substantial agreement. Both motion corrected re-binning and averaged free-breathing SSFP acquisition and reconstruction times were shorter than breath-held SSFP techniques (p < 0.0001). On average, motion corrected re-binning required 3 min less than breath-held SSFP imaging, a 37 % reduction in acquisition and reconstruction time. Conclusions: The motion corrected re-binning image reconstruction technique provides robust cardiac imaging that can be used for quantification that compares favorably to breath-held SSFP as well as multiple average free-breathing SSFP, but can be obtained in a fraction of the time when using cloud-based distributed computing reconstruction. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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