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Conference Paper: Automatic systole-diastole classification of mitral valve complex from RT-3D echocardiography based on multiresolution processing

TitleAutomatic systole-diastole classification of mitral valve complex from RT-3D echocardiography based on multiresolution processing
Authors
Issue Date2013
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml?WT.svl=mddp2
Citation
Conference 8669 - Medical Imaging: Image Processing, Lake Buena Vista (Orlando Area), Florida, USA, 10-12 February 2013. In Proceedings of SPIE, 2013, v. 8669, p. article no. 866946 How to Cite?
AbstractMitral valve repair is one of the most prevalent operations for various mitral valve conditions. Echocardiography, being famous for its low-cost, non-invasiveness and speediness, is the dominant imaging modality used for carrying out mitral valve condition analysis in both pre-operative and intra-operative examinations. In order to perform analysis on different phases of a cardiac cycle, it is necessary to first classify the echocardiograhic data into volumes corresponding to the systole and diastole phases. This often requires tedious manual work. This paper presents a fully-automatic method for systole-diastole classification of real-time three-dimensional transesophageal echocardiography (RT-3D-TEE) data. The proposed method first resamples the data with radial cutting planes, segments the mitral valve by thresholding, and removes noise by median filtering. Classification is then carried out based on the number of identified mitral valve regions. A multiresolution processing scheme is proposed to further improve the classification accuracy by aggregating classification results obtained from different image resolution scales. The proposed method was evaluated against the classification results produced by a cardiologist. Experimental results show that the proposed method, without the use of computationally intensive algorithms or the use of any training database, can achieve a classification accuracy of 91.04%.
DescriptionPoster Session: Ultrasound
Persistent Identifierhttp://hdl.handle.net/10722/189616
ISBN
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTsui, KWen_US
dc.contributor.authorWong, KKYen_US
dc.contributor.authorLee, PWen_US
dc.date.accessioned2013-09-17T14:50:21Z-
dc.date.available2013-09-17T14:50:21Z-
dc.date.issued2013en_US
dc.identifier.citationConference 8669 - Medical Imaging: Image Processing, Lake Buena Vista (Orlando Area), Florida, USA, 10-12 February 2013. In Proceedings of SPIE, 2013, v. 8669, p. article no. 866946en_US
dc.identifier.isbn9780819494436-
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10722/189616-
dc.descriptionPoster Session: Ultrasound-
dc.description.abstractMitral valve repair is one of the most prevalent operations for various mitral valve conditions. Echocardiography, being famous for its low-cost, non-invasiveness and speediness, is the dominant imaging modality used for carrying out mitral valve condition analysis in both pre-operative and intra-operative examinations. In order to perform analysis on different phases of a cardiac cycle, it is necessary to first classify the echocardiograhic data into volumes corresponding to the systole and diastole phases. This often requires tedious manual work. This paper presents a fully-automatic method for systole-diastole classification of real-time three-dimensional transesophageal echocardiography (RT-3D-TEE) data. The proposed method first resamples the data with radial cutting planes, segments the mitral valve by thresholding, and removes noise by median filtering. Classification is then carried out based on the number of identified mitral valve regions. A multiresolution processing scheme is proposed to further improve the classification accuracy by aggregating classification results obtained from different image resolution scales. The proposed method was evaluated against the classification results produced by a cardiologist. Experimental results show that the proposed method, without the use of computationally intensive algorithms or the use of any training database, can achieve a classification accuracy of 91.04%.-
dc.languageengen_US
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml?WT.svl=mddp2-
dc.relation.ispartofProceedings of SPIE - International Society for Optical Engineeringen_US
dc.rightsProceedings of SPIE - International Society for Optical Engineering. Copyright © S P I E - International Society for Optical Engineering.-
dc.rightsCopyright notice format: Copyright 2013 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleAutomatic systole-diastole classification of mitral valve complex from RT-3D echocardiography based on multiresolution processingen_US
dc.typeConference_Paperen_US
dc.identifier.emailWong, KKY: kykwong@cs.hku.hken_US
dc.identifier.authorityWong, KKY=rp01393en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1117/12.2006611-
dc.identifier.hkuros221060en_US
dc.identifier.volume8669en_US
dc.identifier.spagearticle no. 866946en_US
dc.identifier.epagearticle no. 866946en_US
dc.identifier.isiWOS:000322020600145-
dc.publisher.placeUnited Statesen_US

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