Literature DB >> 24104953

Cardiac motion and strain detection using 4D CT images: comparison with tagged MRI, and echocardiography.

Vahid Tavakoli1, Nima Sahba.   

Abstract

Ischemic heart disease is a leading cause of death in the modern world. Coronary obstruction is the basis for ischemic heart disease and leads to decreased cardiac supply and decreased contractility of the myocardium. Recently, high quality 4D computed tomography (CT) has become available for cardiac imaging and provides the clinician with high quality anatomical images. In this article, a new method is proposed to detect 3D motion and strain from 4D cardiac CT images by constraining intensity constancy, myocardial volume changes and motion smoothness assumptions. The proposed method is validated by using manual tracking of the cardiac CT landmarks. The average error for the manual tracking, by an expert, was 2.9 ± 0.9 mm. As an additional validation, the cardiac CT strain values were compared to the cardiac tagged magnetic resonance imaging (MRI) and 2D B-mode echocardiography strain values of the same patients. The correlation ratio was significantly high for CT and tagged MRI radial strain values (r = 0.76, 95% confidence interval, P < 0.001). The correlation ratio was meaningful for CT and echocardiography radial strain values as well (r = 0.67, 95% confidence interval, P < 0.001). The correlation ratio for CT and tagged MRI circumferential strain values was acceptable (r = 0.73, 95% confidence interval, P < 0.001), while the correlation ratio for CT and echocardiography circumferential strain values was good as well (r = 0.61, 95% confidence interval, P < 0.001). In general, motion and strain values computed from cardiac CT images agree with motion and strain values computed from tagged MRI and echocardiography images.

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Year:  2013        PMID: 24104953     DOI: 10.1007/s10554-013-0305-8

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  35 in total

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  8 in total

Review 1.  Cardiovascular imaging 2013 in the International Journal of Cardiovascular Imaging.

Authors:  Hiram G Bezerra; Ricardo A Costa; Johan H C Reiber; Frank J Rybicki; Paul Schoenhagen; Arthur A Stillman; Johan De Sutter; Nico R L Van de Veire
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3.  Automated 4-dimensional regional myocardial strain evaluation using cardiac computed tomography.

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Review 5.  Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning.

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7.  Rotation and torsion of the left ventricle with cardiovascular magnetic resonance tagging: comparison of two analysis methods.

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8.  Detection of left ventricular wall motion abnormalities from volume rendering of 4DCT cardiac angiograms using deep learning.

Authors:  Zhennong Chen; Francisco Contijoch; Gabrielle M Colvert; Ashish Manohar; Andrew M Kahn; Hari K Narayan; Elliot McVeigh
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  8 in total

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