{"title":"Tracking of Blood Vessels Motion from 4D-flow MRI Data.","authors":"Mocia Agbalessi, Alain Lalande, Olivier Bouchot, Toshiyuki Hayase, Jean-Joseph Christophe, Miguel Angel Fernández, Damiano Lombardi","doi":"10.1007/s13239-023-00677-z","DOIUrl":null,"url":null,"abstract":"<p><p>This paper presents a novel approach to track objects from 4D-flow MRI data. A salient feature of the proposed method is that it fully exploits the geometrical and dynamical nature of the information provided by this imaging modality. The underlying idea consists in formulating the tracking problem as a data assimilation problem, in which both position and velocity observations are extracted from the 4D-flow MRI data series. Optimal state estimation is then performed in a sequential fashion via Kalman filtering. The capabilities of the method are extensively assessed in a numerical study involving synthetic and clinical data.</p>","PeriodicalId":54322,"journal":{"name":"Cardiovascular Engineering and Technology","volume":"14 4","pages":"577-604"},"PeriodicalIF":1.6000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiovascular Engineering and Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s13239-023-00677-z","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a novel approach to track objects from 4D-flow MRI data. A salient feature of the proposed method is that it fully exploits the geometrical and dynamical nature of the information provided by this imaging modality. The underlying idea consists in formulating the tracking problem as a data assimilation problem, in which both position and velocity observations are extracted from the 4D-flow MRI data series. Optimal state estimation is then performed in a sequential fashion via Kalman filtering. The capabilities of the method are extensively assessed in a numerical study involving synthetic and clinical data.
期刊介绍：
Cardiovascular Engineering and Technology is a journal publishing the spectrum of basic to translational research in all aspects of cardiovascular physiology and medical treatment. It is the forum for academic and industrial investigators to disseminate research that utilizes engineering principles and methods to advance fundamental knowledge and technological solutions related to the cardiovascular system. Manuscripts spanning from subcellular to systems level topics are invited, including but not limited to implantable medical devices, hemodynamics and tissue biomechanics, functional imaging, surgical devices, electrophysiology, tissue engineering and regenerative medicine, diagnostic instruments, transport and delivery of biologics, and sensors. In addition to manuscripts describing the original publication of research, manuscripts reviewing developments in these topics or their state-of-art are also invited.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
