Can segmented 3D images be used for stenosis evaluation in coronary CT angiography?

Wang, Chunliang; Persson, Anders; Engvall, Jan; Geer, Jakob De; Czekierda, Waldemar; Björkholm, Anders; Fransson, Sven-Göran; Smedby, Örjan

doi:10.1258/ar.2012.120053

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…The conventional way of analyzing coronary artery anatomy is by curved multiplanar 2-D slices in a 3-D CCTA volume. 3-D techniques alone have demonstrated insufficient performance in the evaluation of stenosis 32 and need further development or to be used in combination with 2-D techniques. In cardiac image fusion, 3-D visualization of the coronary artery tree has the advantage of allowing for easier spatial assignment of stenosis and dysfunctional myocardium.…”

Section: Discussionmentioning

confidence: 99%

Method comparison for cardiac image registration of coronary computed tomography angiography and 3-D echocardiography

et al. 2018

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Abstract. Treatment decision for coronary artery disease (CAD) is based on both morphological and functional information. Image fusion of coronary computed tomography angiography (CCTA) and three-dimensional echocardiography (3DE) could combine morphology and function into a single image to facilitate diagnosis. Three semiautomatic feature-based methods for CCTA/3DE registration were implemented and applied on CAD patients. Methods were verified and compared using landmarks manually identified by a cardiologist. All methods were found feasible for CCTA/3DE fusion. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Discussionmentioning

confidence: 99%

Method comparison for cardiac image registration of coronary computed tomography angiography and 3-D echocardiography

et al. 2018

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Stenosis detection and quantification on cardiac CTCA using panoramic MIP of coronary arteries

Chi

Huang

Zhou

et al. 2017

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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In this work, we proposed to demonstrate the entire 3D coronary tree using panoramic maximum intensity projection (MIP) of coronary arteries, and to detect and quantify coronary stenosis from computed tomography coronary angiography (CTCA). The performance of the proposed method was assessed in comparison with invasive coronary angiography (ICA) as reference standard. Six anonymized CTCA datasets were tested. MIP method achieved a sensitivity of 82% and a specificity of 95% for the stenosis detection with a good reproducibility (i.e. Cohen's kappa coefficient of 0.74 for the intra-rater agreement, and 0.45 for the inter-raters agreement). In stenosis quantification, three image options are provided. The original density images resulted in an accuracy of 0.85. The edge map images resulted in an accuracy of 0.79. The image combination had a better accuracy of 0.89 than any single image option. In conclusion, the panoramic MIP provided fast and accurate way for the stenosis detection and quantification. It may be helpful to assist the radiologist in identifying the location of the greatest narrowing in clinical practice.

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Model-based left ventricle segmentation in 3D ultrasound using phase image

Wang¹,

Smedby²

2014

The MIDAS Journal

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In this paper, we propose a semi-automatic method for left ventricle segmentation. The proposed method utilizes a multi-scale quadrature filter method to enhance the 3D volume, followed by a model-based level set method to segment the endocardial surface of the left ventricle. The phase map from the quadrature filters is also used to weight the influence of contour points when updating the statistical model.

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Can segmented 3D images be used for stenosis evaluation in coronary CT angiography?

Cited by 3 publications

References 19 publications

Method comparison for cardiac image registration of coronary computed tomography angiography and 3-D echocardiography

Method comparison for cardiac image registration of coronary computed tomography angiography and 3-D echocardiography

Stenosis detection and quantification on cardiac CTCA using panoramic MIP of coronary arteries

Model-based left ventricle segmentation in 3D ultrasound using phase image

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