{"id":13485,"date":"2023-08-16T14:05:07","date_gmt":"2023-08-16T12:05:07","guid":{"rendered":"https:\/\/sano.science\/?post_type=seminars&#038;p=13485"},"modified":"2023-08-16T14:05:08","modified_gmt":"2023-08-16T12:05:08","slug":"76-non-invasive-detection-of-pathological-changes-in-human-heart-with-computer-vision-and-simulation-tools","status":"publish","type":"seminars","link":"https:\/\/sano.science\/seminars\/76-non-invasive-detection-of-pathological-changes-in-human-heart-with-computer-vision-and-simulation-tools\/","title":{"rendered":"76. Non-invasive detection of pathological changes in human heart with computer vision and simulation tools"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\">Abstract<\/h2>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">In this talk, I will attempt to provide an overview of the methodology of non-invasive human heart analysis and the detection of pathological changes. The main\u00a0<em>de novo<\/em>\u00a0aspect of the proposed workflow is the use of computer vision algorithms and simulation tools, for the diagnosis of 2D MRI and 3D CT heart sample series. It needs to be pointed-out that one of the serious illnesses detected within such images is pulmonary hypertension. This project is undertaken in cooperation with the Technical University of Cluj Napoca, (represented by dr Angela Lungu) and the University of Sheffield (in the team of prof. Rodney Hose and prof. Ian Halliday). As the vital part of the work, we also consider modelling of arterial blood pressure, with the information acquired from CT\/MRI image series. \u00a0Initially, I will review the recent state of the art (related to heart modelling and detection of cardiac pathophysiology) and I will then proceed to describe the most significant methodological innovations. I will then proceed to present a proposed pipeline and methodology for 2D MRI and 3D CT heart samples\u2019 series processing and analysis. Finally, conclusions related to the presentation will be given.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\"><strong>References:<\/strong><\/p>\n\n\n<ol class=\"eplus-wrapper wp-block-list eplus-styles-uid-c3ecca\">\n<li class=\" eplus-wrapper\">Barber, D., Hose, R.: \u201cAutomatic segmentation of medical images using image registration: diagnostic and simulation applications\u201d, Journal of Medical Engineering &amp; Technology, vol. 29, issue 2, 2005, pp. 53-63, DOI: 10.1080\/03091900412331289889<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Barber, D., Valverde, J., Shi, Y., et. al.: \u201cDerivation of aortic distensibility and pulse wave velocity by image registration with a physics-based regularization term\u201d, International Journal for Numerical Methods in Biomedical Engineering, vol. 30, issue 1, 2014, pp. 55-68, DOI: 10.1002\/cnm.2589<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Bertoglio, C., Barber, D., Gaddum, N., et. al.: \u201cIdentification of artery wall stiffness: In vitro validation and in vivo results of a data assimilation procedure applied to a 3D fluid-structure interaction model\u201d, Journal of Biomechanics, vol. 47, issue 5, 2014, pp. 1027-1034, DOI: 10.1016\/j.jbiomech.2013.12.029<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Nogami, M., Ohno, Y., Koyama, H., et. al.: \u201eUtility of phase contrast MR imaging for assessment of pulmonary flow and pressure estimation in patients with pulmonary hypertension: Comparison with right heart catheterization and echocardiography\u201d, Journal of Magnetic Resonance Imaging, vol. 30, issue 5, 2009, pp. 973-980, DOI: 10.1002\/jmri.21935<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Hong, Z., Garcia, J.: \u201cPulmonary Artery Remodeling and Advanced Hemodynamics: Magnetic Resonance Imaging Biomarkers of Pulmonary Hypertension\u201d, Applied Sciences, vol. 12, issue 7, 2022, DOI: 10.3390\/app12073518<\/li>\n<\/ol>\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\">About the author<\/h2>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\"><strong>Maciej Szymkowski&nbsp;<\/strong>(Member, IEEE) was born in Bialystok, Poland, in 1994. He received the B.Sc. and M.Sc. Eng. degrees, in 2017 and 2018, respectively. Since 2018, he has been working as a Research Assistant with the Faculty of Computer Science, Bia\u0142ystok University of Technology in Biometrics Laboratory, under the supervision of Professor Khalid Saeed. From 2021 he worked in AGH University of Science and Technology in Cracow. Currently, he is also a Scientific Software Developer in Sano \u2013 Centre for Computational Personalized Medicine, cooperating with the Technical University of Cluj Napoca and the University of Sheffield. To date, he has published 31 research works in peer-reviewed journals and conference proceedings. His main research interests relate to biometrics, medical image processing, simulation and artificial intelligence, machine learning.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Maciej Szymkowski \u2013 Scientific Programmers Team, Sano Centre for Computational Science, Krakow, PL<\/p>\n","protected":false},"featured_media":13486,"template":"","class_list":["post-13485","seminars","type-seminars","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>76. Non-invasive detection of pathological changes in human heart with computer vision and simulation tools - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/seminars\/76-non-invasive-detection-of-pathological-changes-in-human-heart-with-computer-vision-and-simulation-tools\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"76. 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Finally, conclusions related to the presentation will be given.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-VZqGyy","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-lvgFVH","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>References:<\/strong><\/p>\n","innerContent":["\n<p class=\" 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class=\" eplus-wrapper\">Nogami, M., Ohno, Y., Koyama, H., et. al.: \u201eUtility of phase contrast MR imaging for assessment of pulmonary flow and pressure estimation in patients with pulmonary hypertension: Comparison with right heart catheterization and echocardiography\u201d, Journal of Magnetic Resonance Imaging, vol. 30, issue 5, 2009, pp. 973-980, DOI: 10.1002\/jmri.21935<\/li>\n"]},{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-Kcse72","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" eplus-wrapper\">Hong, Z., Garcia, J.: \u201cPulmonary Artery Remodeling and Advanced Hemodynamics: Magnetic Resonance Imaging Biomarkers of Pulmonary Hypertension\u201d, Applied Sciences, vol. 12, issue 7, 2022, DOI: 10.3390\/app12073518<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Hong, Z., Garcia, J.: \u201cPulmonary Artery Remodeling and Advanced Hemodynamics: Magnetic Resonance Imaging Biomarkers of Pulmonary Hypertension\u201d, Applied Sciences, vol. 12, issue 7, 2022, DOI: 10.3390\/app12073518<\/li>\n"]}],"innerHTML":"<ol class=\" eplus-wrapper eplus-styles-uid-c3ecca\">\n\n\n\n\n\n\n\n<\/ol>","innerContent":["\n<ol class=\" eplus-wrapper\">",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"<\/ol>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-D2cNSX","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-Vr2ciQ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\">About the author<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\">About the author<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-RBIDiZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Maciej Szymkowski&nbsp;<\/strong>(Member, IEEE) was born in Bialystok, Poland, in 1994. He received the B.Sc. and M.Sc. Eng. degrees, in 2017 and 2018, respectively. Since 2018, he has been working as a Research Assistant with the Faculty of Computer Science, Bia\u0142ystok University of Technology in Biometrics Laboratory, under the supervision of Professor Khalid Saeed. From 2021 he worked in AGH University of Science and Technology in Cracow. Currently, he is also a Scientific Software Developer in Sano \u2013 Centre for Computational Personalized Medicine, cooperating with the Technical University of Cluj Napoca and the University of Sheffield. To date, he has published 31 research works in peer-reviewed journals and conference proceedings. His main research interests relate to biometrics, medical image processing, simulation and artificial intelligence, machine learning.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Maciej Szymkowski&nbsp;<\/strong>(Member, IEEE) was born in Bialystok, Poland, in 1994. He received the B.Sc. and M.Sc. Eng. degrees, in 2017 and 2018, respectively. Since 2018, he has been working as a Research Assistant with the Faculty of Computer Science, Bia\u0142ystok University of Technology in Biometrics Laboratory, under the supervision of Professor Khalid Saeed. From 2021 he worked in AGH University of Science and Technology in Cracow. Currently, he is also a Scientific Software Developer in Sano \u2013 Centre for Computational Personalized Medicine, cooperating with the Technical University of Cluj Napoca and the University of Sheffield. To date, he has published 31 research works in peer-reviewed journals and conference proceedings. 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