Constrained ellipse fitting for efficient parameter mapping with phase-cycled bSSFP MRI

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buir.contributor.authorYılmaz, Uğur
buir.contributor.authorÇukur, Tolga
buir.contributor.orcidÇukur, Tolga|0000-0002-2296-851X
dc.citation.epage26en_US
dc.citation.issueNumber1en_US
dc.citation.spage14en_US
dc.citation.volumeNumber41en_US
dc.contributor.authorKeskin, K.
dc.contributor.authorYılmaz, Uğur
dc.contributor.authorÇukur, Tolga
dc.date.accessioned2022-01-31T10:05:05Z
dc.date.available2022-01-31T10:05:05Z
dc.date.issued2021-08-05
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentNanotechnology Research Center (NANOTAM)en_US
dc.description.abstractBalanced steady-state free precession (bSSFP) imaging enables high scan efficiency in MRI, but differs from conventional sequences in terms of elevated sensitivity to main field inhomogeneity and nonstandard T2/T1 -weighted tissue contrast. To address these limitations, multiple bSSFP images of the same anatomy are commonly acquired with a set of different RF phase-cycling increments. Joint processing of phase-cycled acquisitions serves to mitigate sensitivity to field inhomogeneity. Recently phase-cycled bSSFP acquisitions were also leveraged to estimate relaxation parameters based on explicit signal models. While effective, these model-based methods often involve a large number of acquisitions (N ≈ 10-16), degrading scan efficiency. Here, we propose a new constrained ellipse fitting method (CELF) for parameter estimation with improved efficiency and accuracy in phase-cycled bSSFP MRI. CELF is based on the elliptical signal model framework for complex bSSFP signals; and it introduces geometrical constraints on ellipse properties to improve estimation efficiency, and dictionary-based identification to improve estimation accuracy. CELF generates maps of T1 , T2 , off-resonance and on-resonant bSSFP signal by employing a separate B1 map to mitigate sensitivity to flip angle variations. Our results indicate that CELF can produce accurate off-resonance and banding-free bSSFP maps with as few as N = 4 acquisitions, while estimation accuracy for relaxation parameters is notably limited by biases from microstructural sensitivity of bSSFP imaging.en_US
dc.description.provenanceSubmitted by Evrim Ergin (eergin@bilkent.edu.tr) on 2022-01-31T10:05:05Z No. of bitstreams: 1 Constrained_ellipse_fitting_for_efficient_parameter_mapping_with_phase-cycled_bSSFP_MRI.pdf: 1928666 bytes, checksum: b723c65b9d8f10e000059487392f2e75 (MD5)en
dc.description.provenanceMade available in DSpace on 2022-01-31T10:05:05Z (GMT). No. of bitstreams: 1 Constrained_ellipse_fitting_for_efficient_parameter_mapping_with_phase-cycled_bSSFP_MRI.pdf: 1928666 bytes, checksum: b723c65b9d8f10e000059487392f2e75 (MD5) Previous issue date: 2021-08-05en
dc.identifier.doi10.1109/TMI.2021.3102852en_US
dc.identifier.eissn1558-254X
dc.identifier.issn0278-0062
dc.identifier.urihttp://hdl.handle.net/11693/76904
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/TMI.2021.3102852en_US
dc.source.titleIEEE Transactions on Medical Imagingen_US
dc.subjectMagnetic resonance imaging (MRI)en_US
dc.subjectBalanced SSFPen_US
dc.subjectPhase cycleden_US
dc.subjectParameter mappingen_US
dc.subjectEllipse fittingen_US
dc.subjectConstraineden_US
dc.subjectDictionaryen_US
dc.titleConstrained ellipse fitting for efficient parameter mapping with phase-cycled bSSFP MRIen_US
dc.typeArticleen_US

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