Detection of mechanical waves in the left ventricle using high frame rate imaging
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- Institutt for informatikk [4956]
Abstract
Echocardiography is a key imaging modality to assess cardiac anatomy and function. In the past decade, high frame rate ultrasound imaging has emerged, and has allowed for studies of rapid phenomena that occur in the heart. The investigated phenomena are mechanical waves propagating in cardiac tissue at high velocities. Our goal was to detect properties of these waves useful for non-invasive diagnosis of cardiac diseases currently diagnosed with invasive, time consuming and expensive methods. Regional mechanical activation of the heart was investigated for the purpose of detecting abnormal activation patterns indicating conduction disorders. A method was developed to map the mechanical activation wave occurring after electrical activation, and its feasibility demonstrated in an animal study. Mechanical waves occurring naturally in tissue after mechanical events in the heart were investigated for the purpose of using propagation velocities to separate between healthy and pathological tissue. A method for velocity estimation was developed and its feasibility demonstrated in two studies of human populations. Both methods have been evaluated for clinical scenarios and validated against invasive and non-invasive reference standards. They have the potential of having clinical impact in the diagnosis of several cardiac diseases related to conduction and tissue abnormalities.List of papers
Paper I. Detection of Regional Mechanical Activation of the Left Ventricle using High Frame Rate Ultrasound Imaging. Kaja F. Kvåle, Jørn Bersvendsen, Pål H. Brekke, Sebastien Salles, Espen W. Remme, John M. Aalen, Thor Edvardsen, Eigil Samset. IEEE Transactions on Medical Imaging, 2019. DOI: 10.1109/TMI.2019.2909358. The article is not available in DUO due to publisher restrictions. The published version is available at: https://doi.org/10.1109/TMI.2019.2909358 |
Paper II. Detection of Tissue Fibrosis using Natural Mechanical Wave Velocity Estimation: Feasibility Study. Kaja F. Kvåle, Sebastien Salles, Lars Christian N. Lervik, Asbjørn Støylen, Lasse Løvstakken, Eigil Samset, Hans Torp. Ultrasound in Medicine & Biology 2019. DOI: 10.1016/j.ultrasmedbio.2020.04.022. The article is included in the thesis. Also available at: https://doi.org/10.1016/j.ultrasmedbio.2020.04.022 |
Paper III. Comparison of two methods for mechanical activation detection using high frame rate ultrasound imaging. Kaja F. Kvåle, Sebastien Salles, Pål H. Brekke, Thor Edvardsen, Eigil Samset, Proceeding, 2019 IEEE International Ultrasonics Symposium (IUS). DOI: 10.1109/ULTSYM.2019.8925759. The article is not available in DUO due to publisher restrictions. The published version is available at: https://doi.org/10.1109/ULTSYM.2019.8925759 |
Paper IV. Velocity estimation of naturally occurring mechanical waves in the left ventricle in healthy persons. Kaja F. Kvåle, Sebastien Salles, Pål H. Brekke, Thor Edvardsen, Eigil Samset, Proceeding, 2019 IEEE International Ultrasonics Symposium (IUS). DOI: 10.1109/ULTSYM.2019.8926213. The article is not available in DUO due to publisher restrictions. The published version is available at: https://doi.org/10.1109/ULTSYM.2019.8926213 |