A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography
Segmentation of the left ventricle in echocardiography data currently poses a challenge, where delineation of the endocardial borders is a time consuming and difficult task. Though semi-automated and fully automated methods have been developed for left ventricular segmentation, they suffer from a nu...
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IEEE
2018-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/8316815/ |
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| author | Deepa Krishnaswamy Abhilash R. Hareendranathan Tan Suwatanaviroj Harald Becher Michelle Noga Kumaradevan Punithakumar |
| author_facet | Deepa Krishnaswamy Abhilash R. Hareendranathan Tan Suwatanaviroj Harald Becher Michelle Noga Kumaradevan Punithakumar |
| author_sort | Deepa Krishnaswamy |
| collection | DOAJ |
| description | Segmentation of the left ventricle in echocardiography data currently poses a challenge, where delineation of the endocardial borders is a time consuming and difficult task. Though semi-automated and fully automated methods have been developed for left ventricular segmentation, they suffer from a number of drawbacks. These drawbacks include the dependence on large sets of training data and assumptions about the distribution of the intensities of the image. This paper proposes a novel volumetric segmentation algorithm based on an angular slicing approach for 3-D echocardiography scans and a diffeomorphic nonrigid registration method. The proposed method is fast, reproducible, and yields a volumetric segmentation with minimal user interaction. The algorithm was evaluated on 30 participants from the challenge on endocardial 3-D ultrasound segmentation dataset from the medical image computing and computer assisted interventions Challenge 2014. The proposed method yielded the following average distance metrics for the end diastolic volumes: 1) mean absolute distance of 2.36 mm, 2) Hausdorff distance of 8.25 mm, and 3) Dice score of 0.887. For the end systolic volumes, the following average distance metrics were obtained: 1) mean absolute distance of 2.33 mm, 2) Hausdorff distance of 8.95 mm, and 3) Dice score of 0.857. The following clinical metrics for the ejection fraction are reported: 1) modified correlation coefficient of 0.169, 2) bias in mL of −3.96 mL, and 3) standard deviation of 6.85 mL. The results demonstrate the robustness of the proposed volumetric segmentation approach. |
| first_indexed | 2024-12-16T17:19:30Z |
| format | Article |
| id | doaj.art-d12b4ad8416d4a5cb258862ebff6b796 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:19:30Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
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| series | IEEE Access |
| spelling | doaj.art-d12b4ad8416d4a5cb258862ebff6b7962022-12-21T22:23:12ZengIEEEIEEE Access2169-35362018-01-016163361634410.1109/ACCESS.2018.28163408316815A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D EchocardiographyDeepa Krishnaswamy0https://orcid.org/0000-0002-3235-1222Abhilash R. Hareendranathan1https://orcid.org/0000-0001-6201-9258Tan Suwatanaviroj2Harald Becher3Michelle Noga4Kumaradevan Punithakumar5https://orcid.org/0000-0003-3835-1079Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, CanadaDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, CanadaABACUS, Mazankowski Alberta Heart Institute, Edmonton, AB, CanadaABACUS, Mazankowski Alberta Heart Institute, Edmonton, AB, CanadaDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, CanadaDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, CanadaSegmentation of the left ventricle in echocardiography data currently poses a challenge, where delineation of the endocardial borders is a time consuming and difficult task. Though semi-automated and fully automated methods have been developed for left ventricular segmentation, they suffer from a number of drawbacks. These drawbacks include the dependence on large sets of training data and assumptions about the distribution of the intensities of the image. This paper proposes a novel volumetric segmentation algorithm based on an angular slicing approach for 3-D echocardiography scans and a diffeomorphic nonrigid registration method. The proposed method is fast, reproducible, and yields a volumetric segmentation with minimal user interaction. The algorithm was evaluated on 30 participants from the challenge on endocardial 3-D ultrasound segmentation dataset from the medical image computing and computer assisted interventions Challenge 2014. The proposed method yielded the following average distance metrics for the end diastolic volumes: 1) mean absolute distance of 2.36 mm, 2) Hausdorff distance of 8.25 mm, and 3) Dice score of 0.887. For the end systolic volumes, the following average distance metrics were obtained: 1) mean absolute distance of 2.33 mm, 2) Hausdorff distance of 8.95 mm, and 3) Dice score of 0.857. The following clinical metrics for the ejection fraction are reported: 1) modified correlation coefficient of 0.169, 2) bias in mL of −3.96 mL, and 3) standard deviation of 6.85 mL. The results demonstrate the robustness of the proposed volumetric segmentation approach.https://ieeexplore.ieee.org/document/8316815/Image segmentationimage registrationechocardiographyleft ventricleejection fraction |
| spellingShingle | Deepa Krishnaswamy Abhilash R. Hareendranathan Tan Suwatanaviroj Harald Becher Michelle Noga Kumaradevan Punithakumar A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography IEEE Access Image segmentation image registration echocardiography left ventricle ejection fraction |
| title | A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography |
| title_full | A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography |
| title_fullStr | A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography |
| title_full_unstemmed | A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography |
| title_short | A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography |
| title_sort | semi automated method for measurement of left ventricular volumes in 3d echocardiography |
| topic | Image segmentation image registration echocardiography left ventricle ejection fraction |
| url | https://ieeexplore.ieee.org/document/8316815/ |
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