Enhanced phase-sensitive SSFP reconstruction for fat-water separation in phased-array acquisitions

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buir.contributor.authorYılmaz, Özgür
buir.contributor.authorSarıtaş, Emine Ülkü
buir.contributor.authorYılmaz, Özgür
dc.citation.epage157en_US
dc.citation.issueNumber1en_US
dc.citation.spage148en_US
dc.citation.volumeNumber44en_US
dc.contributor.authorYılmaz, Özgüren_US
dc.contributor.authorSarıtaş, Emine Ülküen_US
dc.contributor.authorÇukur, Tolgaen_US
dc.date.accessioned2018-04-12T10:58:25Z
dc.date.available2018-04-12T10:58:25Z
dc.date.issued2016en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
dc.departmentInterdisciplinary Program in Neuroscience (NEUROSCIENCE)en_US
dc.departmentAysel Sabuncu Brain Research Center (BAM)en_US
dc.description.abstractPurpose: To propose and assess a method to improve the reliability of phase-sensitive fat–water separation for phased-array balanced steady-state free precession (bSSFP) acquisitions. Phase-sensitive steady-state free precession (PS-SSFP) is an efficient fat–water separation technique that detects the phase difference between neighboring bands in the bSSFP magnetization profile. However, large spatial variations in the sensitivity profiles of phased-array coils can lead to noisy phase estimates away from the coil centers, compromising tissue classification. Materials and Methods: We first perform region-growing phase correction in individual coil images via unsupervised selection of a fat-voxel seed near the peak of each coil's sensitivity profile. We then use an optimal linear combination of phase-corrected images to segregate fat and water signals. The proposed method was demonstrated on noncontrast-enhanced SSFP angiograms of the thigh, lower leg, and foot acquired at 1.5T using an 8-channel coil. Individual coil PS-SSFP with a common seed selection for all coils, individual coil PS-SSFP with coil-wise seed selection, PS-SSFP after coil combination, and IDEAL reconstructions were also performed. Water images reconstructed via PS-SSFP methods were compared in terms of the level of fat suppression and the similarity to reference IDEAL images (signed-rank test). Results: While tissue misclassification was broadly evident across regular PS-SSFP images, the proposed method achieved significantly higher levels of fat suppression (P < 0.005) and increased similarity to reference IDEAL images (P < 0.005). Conclusion: The proposed method enhances fat–water separation in phased-array acquisitions by producing improved phase estimates across the imaging volume. J. Magn. Reson. Imaging 2016;44:148–157. © 2015 Wiley Periodicals, Inc.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T10:58:25Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016en
dc.identifier.doi10.1002/jmri.25138en_US
dc.identifier.issn1053-1807
dc.identifier.urihttp://hdl.handle.net/11693/36958
dc.language.isoEnglishen_US
dc.publisherJohn Wiley and Sons Inc.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/jmri.25138en_US
dc.source.titleJournal of Magnetic Resonance Imagingen_US
dc.subjectFat-water separationen_US
dc.subjectPhase sensitiveen_US
dc.subjectPhased arrayen_US
dc.subjectSSFPen_US
dc.subjectWeighted combinationen_US
dc.titleEnhanced phase-sensitive SSFP reconstruction for fat-water separation in phased-array acquisitionsen_US
dc.typeArticleen_US

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Department of Electrical and Electronics Engineering
Aysel Sabuncu Brain Research Center (BAM)
National Magnetic Resonance Research Center (UMRAM)