Sevan Harput, Kirsten Christensen-Jeffries, Jemma Brown, Jiaqi Zhu, Ge Zhang, Robert J Eckersley, Chris Dunsby, Meng-Xing Tang
{"title":"3-D Motion Correction for Volumetric Super-Resolution Ultrasound Imaging.","authors":"Sevan Harput, Kirsten Christensen-Jeffries, Jemma Brown, Jiaqi Zhu, Ge Zhang, Robert J Eckersley, Chris Dunsby, Meng-Xing Tang","doi":"10.1109/ULTSYM.2018.8580145","DOIUrl":null,"url":null,"abstract":"<p><p>Motion during image acquisition can cause image degradation in all medical imaging modalities. This is particularly relevant in 2-D ultrasound imaging, since out-of-plane motion can only be compensated for movements smaller than elevational beamwidth of the transducer. Localization based super-resolution imaging creates even a more challenging motion correction task due to the requirement of a high number of acquisitions to form a single super-resolved frame. In this study, an extension of two-stage motion correction method is proposed for 3-D motion correction. Motion estimation was performed on high volumetric rate ultrasound acquisitions with a handheld probe. The capability of the proposed method was demonstrated with a 3-D microvascular flow simulation to compensate for handheld probe motion. Results showed that two-stage motion correction method reduced the average localization error from 136 to 18 <i>μ</i>m.</p>","PeriodicalId":73288,"journal":{"name":"IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium","volume":"2018 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610905/pdf/EMS124815.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ULTSYM.2018.8580145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Motion during image acquisition can cause image degradation in all medical imaging modalities. This is particularly relevant in 2-D ultrasound imaging, since out-of-plane motion can only be compensated for movements smaller than elevational beamwidth of the transducer. Localization based super-resolution imaging creates even a more challenging motion correction task due to the requirement of a high number of acquisitions to form a single super-resolved frame. In this study, an extension of two-stage motion correction method is proposed for 3-D motion correction. Motion estimation was performed on high volumetric rate ultrasound acquisitions with a handheld probe. The capability of the proposed method was demonstrated with a 3-D microvascular flow simulation to compensate for handheld probe motion. Results showed that two-stage motion correction method reduced the average localization error from 136 to 18 μm.