Local phase-based fast ray features for automatic left ventricle apical view detection in 3d echocardiography
3D echocardiography is an imaging modality that enables a more complete and rapid cardiac function assessment. However, as a time-consuming procedure, it calls upon automatic view detection to enable fast 3D volume navigation and analysis. We propose a combinatorial model- and machine learning-based...
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| Format: | Conference item |
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Springer Verlag
2014
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| _version_ | 1797089643349409792 |
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| author | Domingos, J Lima, E Leeson, P Noble, J |
| author_facet | Domingos, J Lima, E Leeson, P Noble, J |
| author_sort | Domingos, J |
| collection | OXFORD |
| description | 3D echocardiography is an imaging modality that enables a more complete and rapid cardiac function assessment. However, as a time-consuming procedure, it calls upon automatic view detection to enable fast 3D volume navigation and analysis. We propose a combinatorial model- and machine learning-based left ventricle (LV) apical view detection method consisting of three steps: first, multiscale local phase-based 3D boundary detection is used to fit a deformable model to the boundaries of the LV blood pool. After candidate slice extraction around the derived mid axis of the LV segmentation, we propose the use of local phase-based Fast Ray features to complement conventional Haar features in an AdaBoost-based framework for automated standardized LV apical view detection. Evaluation performed on a combination of healthy volunteers and clinical patients with different image quality and ultrasound probes show that apical plane views can be accurately identified in a 360 degree swipe of 3D frames. © 2014 Springer International Publishing Switzerland. |
| first_indexed | 2024-03-07T03:07:00Z |
| format | Conference item |
| id | oxford-uuid:b2e25a17-2f0a-4296-be56-4229543654c2 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:07:00Z |
| publishDate | 2014 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | oxford-uuid:b2e25a17-2f0a-4296-be56-4229543654c22022-03-27T04:14:57ZLocal phase-based fast ray features for automatic left ventricle apical view detection in 3d echocardiographyConference itemhttp://purl.org/coar/resource_type/c_5794uuid:b2e25a17-2f0a-4296-be56-4229543654c2Symplectic Elements at OxfordSpringer Verlag2014Domingos, JLima, ELeeson, PNoble, J3D echocardiography is an imaging modality that enables a more complete and rapid cardiac function assessment. However, as a time-consuming procedure, it calls upon automatic view detection to enable fast 3D volume navigation and analysis. We propose a combinatorial model- and machine learning-based left ventricle (LV) apical view detection method consisting of three steps: first, multiscale local phase-based 3D boundary detection is used to fit a deformable model to the boundaries of the LV blood pool. After candidate slice extraction around the derived mid axis of the LV segmentation, we propose the use of local phase-based Fast Ray features to complement conventional Haar features in an AdaBoost-based framework for automated standardized LV apical view detection. Evaluation performed on a combination of healthy volunteers and clinical patients with different image quality and ultrasound probes show that apical plane views can be accurately identified in a 360 degree swipe of 3D frames. © 2014 Springer International Publishing Switzerland. |
| spellingShingle | Domingos, J Lima, E Leeson, P Noble, J Local phase-based fast ray features for automatic left ventricle apical view detection in 3d echocardiography |
| title | Local phase-based fast ray features for automatic left ventricle apical view detection in 3d echocardiography |
| title_full | Local phase-based fast ray features for automatic left ventricle apical view detection in 3d echocardiography |
| title_fullStr | Local phase-based fast ray features for automatic left ventricle apical view detection in 3d echocardiography |
| title_full_unstemmed | Local phase-based fast ray features for automatic left ventricle apical view detection in 3d echocardiography |
| title_short | Local phase-based fast ray features for automatic left ventricle apical view detection in 3d echocardiography |
| title_sort | local phase based fast ray features for automatic left ventricle apical view detection in 3d echocardiography |
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