Vis enkel innførsel

dc.contributor.authorKhanmohammadi, Mahdiehen_US
dc.contributor.authorSæland, Charlotteen_US
dc.contributor.authorEngan, Kjerstien_US
dc.contributor.authorEftestøl, Trygve Christianen_US
dc.contributor.authorLarsen, Alf Ingeen_US
dc.date.accessioned2019-09-03T12:45:45Z
dc.date.available2019-09-03T12:45:45Z
dc.date.issued2019-01-22
dc.PublishedKhanmohammadi M, Sæland C, Engan K, Eftestøl TC, Larsen AI. 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. 2019;6:1.eng
dc.identifier.issn2297-055X
dc.identifier.urihttps://hdl.handle.net/1956/20798
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.en_US
dc.language.isoengeng
dc.publisherFrontierseng
dc.rightsAttribution CC BYeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subjectblood flow velocityeng
dc.subjectX-ray angiographyeng
dc.subjectimage registrationeng
dc.subjectautomatic segmentationeng
dc.subjecttransthoracic dopplereng
dc.subjectcoronary arterieseng
dc.subjectcoronary flow reserveeng
dc.titleAutomatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectorisen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2019-08-05T12:22:49Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2019 Khanmohammadi, Engan, Sæland, Eftestøl and Larsen.
dc.identifier.doihttps://doi.org/10.3389/fcvm.2019.00001
dc.identifier.cristin1714100
dc.source.journalFrontiers in Cardiovascular Medicine


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution CC BY
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution CC BY