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      Profile-encoding reconstruction for multiple-acquisition balanced steady-state free precession imaging

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      Embargo Lift Date: 2018-09-20
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      Author(s)
      Ilicak, Efe
      Senel, Lutfi Kerem
      Biyik, Erdem
      Çukur, Tolga
      Date
      2017
      Source Title
      Magnetic Resonance in Medicine
      Print ISSN
      0740-3194
      Publisher
      John Wiley and Sons Inc.
      Volume
      78
      Issue
      4
      Pages
      1316 - 1329
      Language
      English
      Type
      Article
      Item Usage Stats
      210
      views
      248
      downloads
      Abstract
      Purpose: The scan-efficiency in multiple-acquisition balanced steady-state free precession imaging can be maintained by accelerating and reconstructing each phase-cycled acquisition individually, but this strategy ignores correlated structural information among acquisitions. Here, an improved acceleration framework is proposed that jointly processes undersampled data across N phase cycles. Methods: Phase-cycled imaging is cast as a profile-encoding problem, modeling each image as an artifact-free image multiplied with a distinct balanced steady-state free precession profile. A profile-encoding reconstruction (PE-SSFP) is employed to recover missing data by enforcing joint sparsity and total-variation penalties across phase cycles. PE-SSFP is compared with individual compressed-sensing and parallel-imaging (ESPIRiT) reconstructions. Results: In the brain and the knee, PE-SSFP yields improved image quality compared to individual compressed-sensing and other tested methods particularly for higher N values. On average, PE-SSFP improves peak SNR by 3.8 ± 3.0 dB (mean ± s.e. across N = 2–8) and structural similarity by 1.4 ± 1.2% over individual compressed-sensing, and peak SNR by 5.6 ± 0.7 dB and structural similarity by 7.1 ± 0.5% over ESPIRiT. Conclusion: PE-SSFP attains improved image quality and preservation of high-spatial-frequency information at high acceleration factors, compared to conventional reconstructions. PE-SSFP is a promising technique for scan-efficient balanced steady-state free precession imaging with improved reliability against field inhomogeneity. Magn Reson Med 78:1316–1329, 2017.
      Keywords
      Banding artifact
      Compressed sensing
      Encoding
      Magnetization profile
      Reconstruction
      SSFP
      Acceleration
      Artifact
      Brain
      Case report
      Image quality
      Imaging
      Knee
      Model
      Punishment
      Reliability
      Steady state
      Permalink
      http://hdl.handle.net/11693/36404
      Published Version (Please cite this version)
      http://dx.doi.org/10.1002/mrm.26507
      Collections
      • Aysel Sabuncu Brain Research Center (BAM) 228
      • Department of Electrical and Electronics Engineering 3863
      • National Magnetic Resonance Research Center (UMRAM) 250
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