Literature DB >> 29487879

Improved approach to quantitative cardiac volumetrics using automatic thresholding and manual trimming: a cardiovascular MRI study.

Geetha Rayarao1, Robert W W Biederman1, Ronald B Williams1, June A Yamrozik1, Richard Lombardi1, Mark Doyle1.   

Abstract

To establish the clinical validity and accuracy of automatic thresholding and manual trimming (ATMT) by comparing the method with the conventional contouring method for in vivo cardiac volume measurements. CMR was performed on 40 subjects (30 patients and 10 controls) using steady-state free precession cine sequences with slices oriented in the short-axis and acquired contiguously from base to apex. Left ventricular (LV) volumes, end-diastolic volume, end-systolic volume, and stroke volume (SV) were obtained with ATMT and with the conventional contouring method. Additionally, SV was measured independently using CMR phase velocity mapping (PVM) of the aorta for validation. Three methods of calculating SV were compared by applying Bland-Altman analysis. The Bland-Altman standard deviation of variation (SD) and offset bias for LV SV for the three sets of data were: ATMT-PVM (7.65, [Formula: see text]), ATMT-contours (7.85, [Formula: see text]), and contour-PVM (11.01, 4.97), respectively. Equating the observed range to the error contribution of each approach, the error magnitude of ATMT:PVM:contours was in the ratio 1:2.4:2.5. Use of ATMT for measuring ventricular volumes accommodates trabeculae and papillary structures more intuitively than contemporary contouring methods. This results in lower variation when analyzing cardiac structure and function and consequently improved accuracy in assessing chamber volumes.

Entities:  

Keywords:  cardiac function; cardiac magnetic resonance imaging; steady-state free precession; stroke volume

Year:  2018        PMID: 29487879      PMCID: PMC5812431          DOI: 10.1117/1.JMI.5.1.014004

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  21 in total

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2.  Echocardiographic determination of left ventricular mass in man. Anatomic validation of the method.

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Journal:  JACC Cardiovasc Imaging       Date:  2012-11

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Journal:  Eur Heart J       Date:  2010-01-19       Impact factor: 29.983

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Journal:  J Cardiovasc Magn Reson       Date:  2015-04-18       Impact factor: 5.364

7.  Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) board of trustees task force on standardized post processing.

Authors:  Jeanette Schulz-Menger; David A Bluemke; Jens Bremerich; Scott D Flamm; Mark A Fogel; Matthias G Friedrich; Raymond J Kim; Florian von Knobelsdorff-Brenkenhoff; Christopher M Kramer; Dudley J Pennell; Sven Plein; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2013-05-01       Impact factor: 5.364

8.  Quantification of LV function and mass by cardiovascular magnetic resonance: multi-center variability and consensus contours.

Authors:  Avan Suinesiaputra; David A Bluemke; Brett R Cowan; Matthias G Friedrich; Christopher M Kramer; Raymond Kwong; Sven Plein; Jeanette Schulz-Menger; Jos J M Westenberg; Alistair A Young; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2015-07-28       Impact factor: 5.364

9.  Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Resonance Imaging.

Authors:  Jessica Lebenberg; Alain Lalande; Patrick Clarysse; Irene Buvat; Christopher Casta; Alexandre Cochet; Constantin Constantinidès; Jean Cousty; Alain de Cesare; Stephanie Jehan-Besson; Muriel Lefort; Laurent Najman; Elodie Roullot; Laurent Sarry; Christophe Tilmant; Frederique Frouin; Mireille Garreau
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

10.  Phase-contrast MRI volume flow--a comparison of breath held and navigator based acquisitions.

Authors:  Charlotta Andersson; Johan Kihlberg; Tino Ebbers; Lena Lindström; Carl-Johan Carlhäll; Jan E Engvall
Journal:  BMC Med Imaging       Date:  2016-03-28       Impact factor: 1.930

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