Literature DB >> 22342945

A new method for cardiac computed tomography regional function assessment: stretch quantifier for endocardial engraved zones (SQUEEZ).

Amir Pourmorteza1, Karl H Schuleri, Daniel A Herzka, Albert C Lardo, Elliot R McVeigh.   

Abstract

BACKGROUND: Quantitative assessment of regional myocardial function has important diagnostic implications in cardiac disease. Recent advances in CT imaging technology have allowed fine anatomic structures, such as endocardial trabeculae, to be resolved and potentially used as fiducial markers for tracking local wall deformations. We developed a method to detect and track such features on the endocardium to extract a metric that reflects local myocardial contraction. METHODS AND
RESULTS: First-pass CT images and contrast-enhanced cardiovascular magnetic resonance images were acquired in 8 infarcted and 3 healthy pigs. We tracked the left ventricle wall motion by segmenting the blood from myocardium and calculating trajectories of the endocardial features seen on the blood cast. The relative motions of these surface features were used to represent the local contraction of the endocardial surface with a metric we call stretch quantifier of endocardial engraved zones (SQUEEZ). The average SQUEEZ value and the rate of change in SQUEEZ were calculated for both infarcted and healthy myocardial regions. SQUEEZ showed a significant difference between infarct and remote regions (P<0.0001). No significant difference was observed between normal myocardium (noninfarcted hearts) and remote regions (P=0.8).
CONCLUSIONS: We present a new quantitative method for measuring regional cardiac function from high-resolution volumetric CT images, which can be acquired during angiography and myocardial perfusion scans. Quantified measures of regional cardiac mechanics in normal and abnormally contracting regions in infarcted hearts were shown to correspond well with noninfarcted and infarcted regions as detected by delayed enhancement cardiovascular magnetic resonance images.

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Year:  2012        PMID: 22342945     DOI: 10.1161/CIRCIMAGING.111.970061

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


  30 in total

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Journal:  Med Phys       Date:  2017-08-01       Impact factor: 4.071

2.  SiSSR: Simultaneous subdivision surface registration for the quantification of cardiac function from computed tomography in canines.

Authors:  Davis M Vigneault; Amir Pourmorteza; Marvin L Thomas; David A Bluemke; J Alison Noble
Journal:  Med Image Anal       Date:  2018-03-29       Impact factor: 8.545

3.  Quantitative assessment of atrial regional function using motion estimation computed tomography.

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Review 4.  Comparison of Echocardiography, Cardiac Magnetic Resonance, and Computed Tomographic Imaging for the Evaluation of Left Ventricular Myocardial Function: Part 2 (Diastolic and Regional Assessment).

Authors:  Menhel Kinno; Prashant Nagpal; Stephen Horgan; Alfonso H Waller
Journal:  Curr Cardiol Rep       Date:  2017-01       Impact factor: 2.931

5.  Automated 4-dimensional regional myocardial strain evaluation using cardiac computed tomography.

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Journal:  Int J Cardiovasc Imaging       Date:  2019-09-19       Impact factor: 2.357

6.  Regional Strain Analysis with Multidetector CT in a Swine Cardiomyopathy Model: Relationship to Cardiac MR Tagging and Myocardial Fibrosis.

Authors:  Michael W Tee; Samuel Won; Fabio S Raman; Colin Yi; Davis M Vigneault; Cynthia Davies-Venn; Songtao Liu; Albert C Lardo; João A C Lima; J Alison Noble; Craig A Emter; David A Bluemke
Journal:  Radiology       Date:  2015-04-08       Impact factor: 11.105

7.  Regional dynamics of fractal dimension of the left ventricular endocardium from cine computed tomography images.

Authors:  Ashish Manohar; Lorenzo Rossini; Gabrielle Colvert; Davis M Vigneault; Francisco Contijoch; Marcus Y Chen; Juan C Del Alamo; Elliot R McVeigh
Journal:  J Med Imaging (Bellingham)       Date:  2019-11-08

8.  Precision of regional wall motion estimates from ultra-low-dose cardiac CT using SQUEEZ.

Authors:  Amir Pourmorteza; Noemie Keller; Richard Chen; Albert Lardo; Henry Halperin; Marcus Y Chen; Elliot McVeigh
Journal:  Int J Cardiovasc Imaging       Date:  2018-03-13       Impact factor: 2.357

9.  Patient-specific finite element modeling of the Cardiokinetix Parachute(®) device: effects on left ventricular wall stress and function.

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Journal:  Med Biol Eng Comput       Date:  2014-05-03       Impact factor: 2.602

10.  Reconstruction of difference in sequential CT studies using penalized likelihood estimation.

Authors:  A Pourmorteza; H Dang; J H Siewerdsen; J W Stayman
Journal:  Phys Med Biol       Date:  2016-02-19       Impact factor: 3.609

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