dc.contributor.author | Fiorentini, Stefano | |
dc.contributor.author | Saxhaug, Lars Mølgaard | |
dc.contributor.author | Holte, Espen | |
dc.contributor.author | Bjåstad, Tore Grüner | |
dc.contributor.author | Torp, Hans | |
dc.contributor.author | Avdal, Jørgen | |
dc.date.accessioned | 2018-04-23T07:04:36Z | |
dc.date.available | 2018-04-23T07:04:36Z | |
dc.date.created | 2018-04-20T14:51:01Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 0885-3010 | |
dc.identifier.uri | http://hdl.handle.net/11250/2495385 | |
dc.description.abstract | Several challenges currently prevent the use of Doppler echocardiography to assess blood flow in the coronary arteries. Due to the anatomy of the coronary tree, out-of-plane flow and high beam-to-flow angles easily occur. Transit time broadening in regions with high velocities leads to overestimation of the maximum velocity envelope, which is a standard clinical parameter for flow quantification. In this work, a commercial ultrasound system was locally modified to perform trans-thoracic, 3D high frame-rate imaging of the coronary arteries. The imaging sequence was then combined with 3D tracking Doppler for retrospective estimation of maximum velocities. Results from simulations showed that 3D tracking Doppler delivers sonograms with better velocity resolution and spectral SNR compared to conventional PW Doppler. Results were confirmed using in vitro recordings. Further simulations based on realistic coronary flow data showed that 3D tracking Doppler can provide improved performance compared to PW Doppler, suggesting a potential benefit on patients. In vivo feasibility of the method was also shown in a healthy volunteer. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.title | Maximum velocity estimation in coronary arteries using 3D tracking Doppler | nb_NO |
dc.type | Journal article | nb_NO |
dc.description.version | submittedVersion | nb_NO |
dc.source.journal | IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control | nb_NO |
dc.identifier.doi | 10.1109/TUFFC.2018.2827241 | |
dc.identifier.cristin | 1580678 | |
dc.description.localcode | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,65,25,0 | |
cristin.unitname | Institutt for sirkulasjon og bildediagnostikk | |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 1 | |