Assessment of left ventricle dynamic from cardiac magnetic resonance imaging by means a correspondence approach

In this research, an approach to assess the heart dynamics is reported. The cardiac magnetic resonance images are considered for assessing the left ventricle motion and deformation. The shape of the cavity is obtained by means a segmentation procedure based on a clustering algorithm at an initial in...

Full description

Autores:
Bravo, A
Vera, M
Valbuena, O
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/6348
Acceso en línea:
https://hdl.handle.net/20.500.12442/6348
https://iopscience.iop.org/article/10.1088/1742-6596/1514/1/012008/pdf
Palabra clave:
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
id USIMONBOL2_fe9d868df494ff560eeaf51da092b664
oai_identifier_str oai:bonga.unisimon.edu.co:20.500.12442/6348
network_acronym_str USIMONBOL2
network_name_str Repositorio Digital USB
repository_id_str
dc.title.eng.fl_str_mv Assessment of left ventricle dynamic from cardiac magnetic resonance imaging by means a correspondence approach
title Assessment of left ventricle dynamic from cardiac magnetic resonance imaging by means a correspondence approach
spellingShingle Assessment of left ventricle dynamic from cardiac magnetic resonance imaging by means a correspondence approach
title_short Assessment of left ventricle dynamic from cardiac magnetic resonance imaging by means a correspondence approach
title_full Assessment of left ventricle dynamic from cardiac magnetic resonance imaging by means a correspondence approach
title_fullStr Assessment of left ventricle dynamic from cardiac magnetic resonance imaging by means a correspondence approach
title_full_unstemmed Assessment of left ventricle dynamic from cardiac magnetic resonance imaging by means a correspondence approach
title_sort Assessment of left ventricle dynamic from cardiac magnetic resonance imaging by means a correspondence approach
dc.creator.fl_str_mv Bravo, A
Vera, M
Valbuena, O
dc.contributor.author.none.fl_str_mv Bravo, A
Vera, M
Valbuena, O
description In this research, an approach to assess the heart dynamics is reported. The cardiac magnetic resonance images are considered for assessing the left ventricle motion and deformation. The shape of the cavity is obtained by means a segmentation procedure based on a clustering algorithm at an initial instant. This three-dimensional structure is used to establish a region of interest around the border of the structure. An optical flow method allows determining the displacement vector of this region and then defining the shapes of the cavity during the all cardiac cycle. The points of the left ventricle are followed using the displacement vectors in the cardiac cycle, obtaining thus, a dense motion field of the cavity. This approximate deformation field is refined with a correspondence method that working in the three-dimensional space. The mapping of the points that define the left ventricle in the cardiac cycle obtained with the correspondence procedure are then used for computing a set of clinical parameters that allows assessing the motion and deformation of this principal structure of the human heart. The torsion, radial and longitudinal contraction are quantified. The obtained results are promising for evaluating the heart dynamics.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-08-26T04:05:18Z
dc.date.available.none.fl_str_mv 2020-08-26T04:05:18Z
dc.date.issued.none.fl_str_mv 2020
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.eng.fl_str_mv info:eu-repo/semantics/article
dc.type.spa.spa.fl_str_mv Artículo científico
dc.identifier.issn.none.fl_str_mv 17426596
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12442/6348
dc.identifier.url.none.fl_str_mv https://iopscience.iop.org/article/10.1088/1742-6596/1514/1/012008/pdf
identifier_str_mv 17426596
url https://hdl.handle.net/20.500.12442/6348
https://iopscience.iop.org/article/10.1088/1742-6596/1514/1/012008/pdf
dc.language.iso.eng.fl_str_mv eng
language eng
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv pdf
dc.publisher.eng.fl_str_mv IOP Publishing
dc.source.eng.fl_str_mv Journal of Physics: Conference Series
dc.source.none.fl_str_mv Vol. 1514 No. 1 (2020)
institution Universidad Simón Bolívar
bitstream.url.fl_str_mv https://bonga.unisimon.edu.co/bitstreams/adeaadf4-1721-4298-bb23-2cbfb959cfa1/download
https://bonga.unisimon.edu.co/bitstreams/4234ede0-a147-46be-bd29-7ef20316e6da/download
https://bonga.unisimon.edu.co/bitstreams/bb673369-594e-4a1b-b25a-e82f8c770383/download
https://bonga.unisimon.edu.co/bitstreams/86b3c92c-b4aa-49c2-bc80-834326221527/download
https://bonga.unisimon.edu.co/bitstreams/16f61361-3e6e-4beb-9b73-8f95eff2672f/download
bitstream.checksum.fl_str_mv e5bfe1cd383517d989c5f845ca2be350
4460e5956bc1d1639be9ae6146a50347
733bec43a0bf5ade4d97db708e29b185
e1379ba24c89aff797707a4ad694f255
693377085492c8544fd32b4585c067bd
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Digital Universidad Simón Bolívar
repository.mail.fl_str_mv repositorio.digital@unisimon.edu.co
_version_ 1812100503937482752
spelling Bravo, A3e2b5f23-22e5-41e6-a979-50e352e3d4beVera, M847eada8-99d3-4ff1-a613-ae3f62c30f9eValbuena, O4286f2e0-ce46-49ce-a106-bd00c21a76e92020-08-26T04:05:18Z2020-08-26T04:05:18Z202017426596https://hdl.handle.net/20.500.12442/6348https://iopscience.iop.org/article/10.1088/1742-6596/1514/1/012008/pdfIn this research, an approach to assess the heart dynamics is reported. The cardiac magnetic resonance images are considered for assessing the left ventricle motion and deformation. The shape of the cavity is obtained by means a segmentation procedure based on a clustering algorithm at an initial instant. This three-dimensional structure is used to establish a region of interest around the border of the structure. An optical flow method allows determining the displacement vector of this region and then defining the shapes of the cavity during the all cardiac cycle. The points of the left ventricle are followed using the displacement vectors in the cardiac cycle, obtaining thus, a dense motion field of the cavity. This approximate deformation field is refined with a correspondence method that working in the three-dimensional space. The mapping of the points that define the left ventricle in the cardiac cycle obtained with the correspondence procedure are then used for computing a set of clinical parameters that allows assessing the motion and deformation of this principal structure of the human heart. The torsion, radial and longitudinal contraction are quantified. The obtained results are promising for evaluating the heart dynamics.pdfengIOP PublishingAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Journal of Physics: Conference SeriesVol. 1514 No. 1 (2020)Assessment of left ventricle dynamic from cardiac magnetic resonance imaging by means a correspondence approachinfo:eu-repo/semantics/articleArtículo científicohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Arts T, Meerbaum S and Reneman R 1984 Cardiovascular Research 18 183Opie L 2001 Mechanics of cardiac contraction and relaxation Heart Disease: A Textbook of Cardiovascular Medicine (London: W B Saunders)Scatteia A, Baritussio A and Bucciarelli-Ducci C 2017 Heart Failure Reviews 22(4) 465Lin K, Meng L, Collins J, Chowdhary V, Markl M and Carr J 2017 The International Journal of Cardiovascular Imaging 33(3) 351Marcus M L and Dellsperger K C 1991 Determinants of systolic and diastolic ventricular function Cardiac Imaging. A Companion to Braunwald’s Heart Disease (Philadelphia: W B Saunders Company)Yan S, Lamberto B, Vladir M and Harry G 1978 From cardiac catheterization data to hemodynamic parameters (Philadelphia: F A Davis Company)Leighton R F, Wilt S M and Lewis R P 1974 Circulation 50(1) 121Frangi A, Niessen W and Viergever M 2001 IEEE Transactions on Medical Imaging 20(1) 2Woods J 2012 Image enhancement and analysis Multidimensional Signal, Image, and Video Processing and Coding (Boston: Academic Press) chap 7Johnson H, McCormick M and Ibanez L 2015 The ITK Software Guide: Introduction and Development Guidelines (USA: Kitware, Inc.)Salomon D 1999 Computer Graphics and Geometric Modeling (New York: Springer Verlag)Lorensen W and Cline H 1987 ACM SIGGRAPH Computer Graphics 21(4) 163Schroeder W, Martin K and Lorensen B 2001 The Visualization Toolkit, an Object-Oriented Approach to 3D Graphics (New York: Prentice Hall)Gibson J 1957 Psychological Review 64(5) 288Bravo A, Medina R, Passariello G and Garreau M 2005 Estimation of the deformation field for the left ventricle walls in 4-d multislice computerized tomography Progress in Pattern Recognition, Image Analysis and Applications ed Sanfeliu A and Cort´es M L (Berlin: Springer) p 348Sniderman A, Marpole D and Fallen E 1973 The American Journal of Cardiology 31(4) 484ORIGINALPDF.pdfPDF.pdfPDFapplication/pdf1160693https://bonga.unisimon.edu.co/bitstreams/adeaadf4-1721-4298-bb23-2cbfb959cfa1/downloade5bfe1cd383517d989c5f845ca2be350MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://bonga.unisimon.edu.co/bitstreams/4234ede0-a147-46be-bd29-7ef20316e6da/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-8381https://bonga.unisimon.edu.co/bitstreams/bb673369-594e-4a1b-b25a-e82f8c770383/download733bec43a0bf5ade4d97db708e29b185MD53TEXTPDF.pdf.txtPDF.pdf.txtExtracted texttext/plain18349https://bonga.unisimon.edu.co/bitstreams/86b3c92c-b4aa-49c2-bc80-834326221527/downloade1379ba24c89aff797707a4ad694f255MD54THUMBNAILPDF.pdf.jpgPDF.pdf.jpgGenerated Thumbnailimage/jpeg1416https://bonga.unisimon.edu.co/bitstreams/16f61361-3e6e-4beb-9b73-8f95eff2672f/download693377085492c8544fd32b4585c067bdMD5520.500.12442/6348oai:bonga.unisimon.edu.co:20.500.12442/63482024-08-14 21:53:39.674http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internacionalopen.accesshttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.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