Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data

Ramon Casero; Rebecca A.B. Burton; T. Alexander Quinn; Christian Bollensdorff; Patrick Hales; Jiirgen E. Schneider; Peter Kohl; Vicente Grau

doi:10.1109/IEMBS.2010.5626303

Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data

Ramon Casero, Rebecca A.B. Burton, T. Alexander Quinn, Christian Bollensdorff, Patrick Hales, Jiirgen E. Schneider, Peter Kohl, Vicente Grau

Résultat de recherche: Conference contribution

5 Citations (Scopus)

Résumé

Annulus manual segmentation is an important tool for the study of valve anatomy and physiology, for the four main valves of the heart (mitral, tricuspid, aortic and pulmonary). In this paper we review two traditional manual segmentation approaches: slice-by-slice and interpolating a sparse set of landmarks with a spline curve. We propose a new Spline Tool for the open source software platform Seg3D, that is fast and improves spatial coherence by providing visual feedback of the segmentation in real time. T he Spline Tool was tested successfully on 14 rat hearts, on aU four valves.

Langue d'origine	English
Titre de la publication principale	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages	738-741
Nombre de pages	4
DOI	https://doi.org/10.1109/IEMBS.2010.5626303
Statut de publication	Published - 2010
Publié à l'externe	Oui
Événement	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina Durée: août 31 2010 → sept. 4 2010

Séries de publication

Prénom	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Conference

Conference	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pays/Territoire	Argentina
Ville	Buenos Aires
Période	8/31/10 → 9/4/10

ASJC Scopus Subject Areas

Biomedical Engineering
Computer Vision and Pattern Recognition
Signal Processing
Health Informatics

PubMed: MeSH publication types

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Accès au document

10.1109/IEMBS.2010.5626303

Autres fichiers et liens

Citer

Casero, R., Burton, R. A. B., Quinn, T. A., Bollensdorff, C., Hales, P., Schneider, J. E., Kohl, P., & Grau, V. (2010). Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. Dans 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 738-741). Article 5626303 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). https://doi.org/10.1109/IEMBS.2010.5626303

Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. / Casero, Ramon; Burton, Rebecca A.B.; Quinn, T. Alexander et al.
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 738-741 5626303 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

Résultat de recherche: Conference contribution

Casero, R, Burton, RAB, Quinn, TA, Bollensdorff, C, Hales, P, Schneider, JE, Kohl, P & Grau, V 2010, Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. dans 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10., 5626303, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, pp. 738-741, 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, Buenos Aires, Argentina, 8/31/10. https://doi.org/10.1109/IEMBS.2010.5626303

Casero R, Burton RAB, Quinn TA, Bollensdorff C, Hales P, Schneider JE et al. Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. Dans 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 738-741. 5626303. (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). doi: 10.1109/IEMBS.2010.5626303

Casero, Ramon ; Burton, Rebecca A.B. ; Quinn, T. Alexander et al. / Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. pp. 738-741 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

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abstract = "Annulus manual segmentation is an important tool for the study of valve anatomy and physiology, for the four main valves of the heart (mitral, tricuspid, aortic and pulmonary). In this paper we review two traditional manual segmentation approaches: slice-by-slice and interpolating a sparse set of landmarks with a spline curve. We propose a new Spline Tool for the open source software platform Seg3D, that is fast and improves spatial coherence by providing visual feedback of the segmentation in real time. T he Spline Tool was tested successfully on 14 rat hearts, on aU four valves.",

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Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data

Résumé

Séries de publication

Conference

ASJC Scopus Subject Areas

PubMed: MeSH publication types

Accès au document

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