Literature DB >> 22104165

Improved left ventricular mass quantification with partial voxel interpolation: in vivo and necropsy validation of a novel cardiac MRI segmentation algorithm.

Noel C F Codella1, Hae Yeoun Lee, David S Fieno, Debbie W Chen, Sandra Hurtado-Rua, Minisha Kochar, John Paul Finn, Robert Judd, Parag Goyal, Jesse Schenendorf, Matthew D Cham, Richard B Devereux, Martin Prince, Yi Wang, Jonathan W Weinsaft.   

Abstract

BACKGROUND: Cardiac magnetic resonance (CMR) typically quantifies LV mass (LVM) by means of manual planimetry (MP), but this approach is time-consuming and does not account for partial voxel components--myocardium admixed with blood in a single voxel. Automated segmentation (AS) can account for partial voxels, but this has not been used for LVM quantification. This study used automated CMR segmentation to test the influence of partial voxels on quantification of LVM. METHODS AND
RESULTS: LVM was quantified by AS and MP in 126 consecutive patients and 10 laboratory animals undergoing CMR. AS yielded both partial voxel (AS(PV)) and full voxel (AS(FV)) measurements. Methods were independently compared with LVM quantified on echocardiography (echo) and an ex vivo standard of LVM at necropsy. AS quantified LVM in all patients, yielding a 12-fold decrease in processing time versus MP (0:21±0:04 versus 4:18±1:02 minutes; P<0.001). AS(FV) mass (136±35 g) was slightly lower than MP (139±35; Δ=3±9 g, P<0.001). Both methods yielded similar proportions of patients with LV remodeling (P=0.73) and hypertrophy (P=1.00). Regarding partial voxel segmentation, AS(PV) yielded higher LVM (159±38 g) than MP (Δ=20±10 g) and AS(FV) (Δ=23±6 g, both P<0.001), corresponding to relative increases of 14% and 17%. In multivariable analysis, magnitude of difference between AS(PV) and AS(FV) correlated with larger voxel size (partial r=0.37, P<0.001) even after controlling for LV chamber volume (r=0.28, P=0.002) and total LVM (r=0.19, P=0.03). Among patients, AS(PV) yielded better agreement with echo (Δ=20±25 g) than did AS(FV) (Δ=43±24 g) or MP (Δ=40±22 g, both P<0.001). Among laboratory animals, AS(PV) and ex vivo results were similar (Δ=1±3 g, P=0.3), whereas AS(FV) (6±3 g, P<0.001) and MP (4±5 g, P=0.02) yielded small but significant differences with LVM at necropsy.
CONCLUSIONS: Automated segmentation of myocardial partial voxels yields a 14-17% increase in LVM versus full voxel segmentation, with increased differences correlated with lower spatial resolution. Partial voxel segmentation yields improved CMR agreement with echo and necropsy-verified LVM.

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Year:  2011        PMID: 22104165      PMCID: PMC3658317          DOI: 10.1161/CIRCIMAGING.111.966754

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  38 in total

1.  Left ventricular mass: manual and automatic segmentation of true FISP and FLASH cine MR images in dogs and pigs.

Authors:  Christopher J François; David S Fieno; Stephanie M Shors; J Paul Finn
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2.  Impact of papillary muscles in ventricular volume and ejection fraction assessment by cardiovascular magnetic resonance.

Authors:  Burkhard Sievers; Simon Kirchberg; Asli Bakan; Ulrich Franken; Hans-Joachim Trappe
Journal:  J Cardiovasc Magn Reson       Date:  2004       Impact factor: 5.364

3.  Automated segmentation of the left ventricle in cardiac MRI.

Authors:  Michael R Kaus; Jens von Berg; Jürgen Weese; Wiro Niessen; Vladimir Pekar
Journal:  Med Image Anal       Date:  2004-09       Impact factor: 8.545

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

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Journal:  Circulation       Date:  1977-04       Impact factor: 29.690

5.  Echocardiographic assessment of left ventricular hypertrophy: comparison to necropsy findings.

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Journal:  Am J Cardiol       Date:  1986-02-15       Impact factor: 2.778

6.  Echocardiographically determined left ventricular mass index in normal children, adolescents and young adults.

Authors:  S R Daniels; R A Meyer; Y C Liang; K E Bove
Journal:  J Am Coll Cardiol       Date:  1988-09       Impact factor: 24.094

7.  Calculation of left ventricular mass and relative wall thickness.

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Journal:  Arch Pathol       Date:  1974-01

8.  Normal human right and left ventricular mass, systolic function, and gender differences by cine magnetic resonance imaging.

Authors:  C H Lorenz; E S Walker; V L Morgan; S S Klein; T P Graham
Journal:  J Cardiovasc Magn Reson       Date:  1999       Impact factor: 5.364

9.  Postmortem validation of the automated coronary analysis (ACA) software package.

Authors:  R J van der Geest; K G Morris; J T Cusma; J H Reiber
Journal:  Int J Card Imaging       Date:  1994-06

10.  TrueFISP: assessment of accuracy for measurement of left ventricular mass in an animal model.

Authors:  David S Fieno; Wyatt C Jaffe; Orlando P Simonetti; Robert M Judd; J Paul Finn
Journal:  J Magn Reson Imaging       Date:  2002-05       Impact factor: 4.813

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  20 in total

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Authors:  Hyun Woo Goo; Sang-Hyub Park
Journal:  Int J Cardiovasc Imaging       Date:  2015-08-29       Impact factor: 2.357

2.  Technical feasibility of semiautomatic three-dimensional threshold-based cardiac computed tomography quantification of left ventricular mass.

Authors:  Hyun Woo Goo
Journal:  Pediatr Radiol       Date:  2018-11-23

3.  Cine-CMR partial voxel segmentation demonstrates increased aortic stiffness among patients with Marfan syndrome.

Authors:  Parmanand Singh; Zaid Almarzooq; Noel C F Codell; Yi Wang; Mary J Roman; Richard B Devereux; Jonathan W Weinsaft
Journal:  J Thorac Dis       Date:  2017-04       Impact factor: 2.895

4.  Characterization of regional deformation and material properties of the intact explanted vein by microCT and computational analysis.

Authors:  Arnold David Gomez; Huashan Zou; Yan-Ting Shiu; Edward W Hsu
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5.  Impact of ascending aortic prosthetic grafts on early postoperative descending aortic biomechanics on cardiac magnetic resonance imaging.

Authors:  Maria C Palumbo; Alberto Redaelli; Matthew Wingo; Katherine A Tak; Jeremy R Leonard; Jiwon Kim; Lisa Q Rong; Christine Park; Hannah W Mitlak; Richard B Devereux; Mary J Roman; Arindam RoyChoudury; Christopher Lau; Mario F L Gaudino; Leonard N Girardi; Jonathan W Weinsaft
Journal:  Eur J Cardiothorac Surg       Date:  2022-03-24       Impact factor: 4.191

Review 6.  Imaging techniques for the assessment of adverse cardiac remodeling in metabolic syndrome.

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Review 7.  Wild-Type Transthyretin Cardiac Amyloidosis: Novel Insights From Advanced Imaging.

Authors:  David L Narotsky; Adam Castano; Jonathan W Weinsaft; Sabahat Bokhari; Mathew S Maurer
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8.  Geometry-independent inclusion of basal myocardium yields improved cardiac magnetic resonance agreement with echocardiography and necropsy quantified left-ventricular mass.

Authors:  Lauren A Simprini; Parag Goyal; Noel Codella; David S Fieno; Anika Afroz; Jamie Mullally; Mitchell Cooper; Yi Wang; John Paul Finn; Richard B Devereux; Jonathan W Weinsaft
Journal:  J Hypertens       Date:  2013-10       Impact factor: 4.844

9.  Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method.

Authors:  Akos Varga-Szemes; Giuseppe Muscogiuri; U Joseph Schoepf; Julian L Wichmann; Pal Suranyi; Carlo N De Cecco; Paola M Cannaò; Matthias Renker; Stefanie Mangold; Mary A Fox; Balazs Ruzsics
Journal:  Eur Radiol       Date:  2015-08-13       Impact factor: 5.315

10.  Right ventricle functional parameters estimation in arrhythmogenic right ventricular dysplasia using a robust shape based deformable model.

Authors:  Mostafa Ghelich Oghli; Vahab Dehlaghi; Ali Mohammad Zadeh; Alireza Fallahi; Mohammad Pooyan
Journal:  J Med Signals Sens       Date:  2014-07
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