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dc.contributor.authorKhanmohammadi, Mahdieh
dc.contributor.authorSæland, Charlotte
dc.contributor.authorEngan, Kjersti
dc.contributor.authorEftestøl, Trygve Christian
dc.contributor.authorLarsen, Alf Inge
dc.identifier.citationKhanmohammadi M, Engan K, Sæland C, Eftestøl T and Larsen AI (2019) Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectoris. Frontiers in Cardiovascular Medicine, 6(1), doi: 10.3389/fcvm.2019.00001nb_NO
dc.description.abstractAim: Our aim was to automatically estimate the blood velocity in coronary arteries using cine X-ray angiographic sequence. Estimating the coronary blood velocity is a key approach in investigating patients with angina pectoris and no significant coronary artery disease. Blood velocity estimation is central in assessing coronary flow reserve. Methods and Results: A multi-step automatic method for blood flow velocity estimation based on the information extracted solely from the cine X-ray coronary angiography sequence obtained by invasive selective coronary catheterization was developed. The method includes (1) an iterative process of segmenting coronary arteries modeling and removing the heart motion using a non-rigid registration, (2) measuring the area of the segmented arteries in each frame, (3) fitting the measured sequence of areas with a 7◦ polynomial to find start and stop time of dye propagation, and (4) estimating the blood flow velocity based on the time of the dye propagation and the length of the artery-tree. To evaluate the method, coronary angiography recordings from 21 patients with no obstructive coronary artery disease were used. In addition, coronary flow velocity was measured in the same patients using a modified transthoracic Doppler assessment of the left anterior descending artery. We found a moderate but statistically significant correlation between flow velocity assessed by trans thoracic Doppler and the proposed method applying both Spearman and Pearson tests. Conclusion: Measures of coronary flow velocity using a novel fully automatic method that utilizes the information from the X-ray coronary angiographic sequence were statistically significantly correlated to measurements obtained with transthoracic Doppler recordings.nb_NO
dc.publisherFrontiers Media S.Anb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.subjectangina pectorisnb_NO
dc.subjecthjerte- og karsykdommernb_NO
dc.titleAutomatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectorisnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.rights.holderCopyright © 2019 Khanmohammadi, Engan, Sæland, Eftestøl and Larsen.nb_NO
dc.subject.nsiVDP::Medical disciplines: 700::Clinical medical disciplines: 750::Cardiology: 771nb_NO
dc.source.journalFrontiers in Cardiovascular Medicinenb_NO
cristin.unitnameInstitutt for data- og elektroteknologi

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal