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dc.contributor.authorLi, Hao
dc.contributor.authorWang, Shuo
dc.contributor.authorGraves, Martin
dc.contributor.authorLomas, David J
dc.contributor.authorPriest, Andrew N
dc.date.accessioned2020-07-14T23:31:02Z
dc.date.available2020-07-14T23:31:02Z
dc.date.issued2021-02
dc.identifier.issn0740-3194
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/307963
dc.description.abstractPURPOSE: To correct the intensity difference of static background signal between bright blood images and dark blood images in subtractive non-contrast-enhanced MR angiography using robust regression, thereby improving static background signal suppression on subtracted angiograms. METHODS: Robust regression (RR), using iteratively reweighted least squares, is used to calculate the regression coefficient of background tissues from a scatter plot showing the voxel intensity of bright blood images versus dark blood images. The weighting function is based on either the Euclidean distance from the estimated regression line or the deviation angle. Results from RR using the deviation angle (RRDA), conventional RR using the Euclidean distance, and ordinary leastsquares regression were compared with reference values determined manually by two observers. Performance was evaluated over studies using different sequences, including 36 thoracic flow-sensitive dephasing data sets, 13 iliac flow-sensitive dephasing data sets, and 26 femoral fresh blood imaging data sets. RESULTS: RR deviation angle achieved robust and accurate performance in all types of images, with small bias, small mean absolute error, and high-correlation coefficients with reference values. Background tissues, such as muscle, veins, and bladder, were suppressed while the vascular signal was preserved. Euclidean distance gave good performance for thoracic and iliac flow-sensitive dephasing, but could not suppress background tissues in femoral fresh blood imaging. Ordinary least squares regression was sensitive to outliers and overestimated regression coefficients in thoracic flow-sensitive dephasing. CONCLUSION: Weighted subtraction using RR was able to acquire the regression coefficients of background signal and improve background suppression of subtractive non-contrast-enhanced MR angiography techniques. RR deviation angle has the most robust and accurate overall performance among three regression methods.
dc.format.mediumPrint-Electronic
dc.languageeng
dc.publisherWiley
dc.rightsAll rights reserved
dc.subjectFemoral Artery
dc.subjectContrast Media
dc.subjectMagnetic Resonance Angiography
dc.subjectSubtraction Technique
dc.subjectSensitivity and Specificity
dc.titleSubtractive NCE-MRA: Improved background suppression using robust regression-based weighted subtraction.
dc.typeArticle
prism.endingPage708
prism.issueIdentifier2
prism.publicationDate2021
prism.publicationNameMagn Reson Med
prism.startingPage694
prism.volume85
dc.identifier.doi10.17863/CAM.55055
dcterms.dateAccepted2020-07-03
rioxxterms.versionofrecord10.1002/mrm.28443
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-02
dc.contributor.orcidLi, Hao [0000-0002-7712-0890]
dc.contributor.orcidWang, Shuo [0000-0002-2947-8783]
dc.contributor.orcidGraves, Martin [0000-0003-4327-3052]
dc.identifier.eissn1522-2594
rioxxterms.typeJournal Article/Review
cam.issuedOnline2020-08-04
cam.orpheus.successWed Aug 19 08:05:34 BST 2020 - Embargo updated
cam.orpheus.counter4
rioxxterms.freetoread.startdate2021-08-04


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