Iterative reconstruction of radially-sampled 31P bSSFP data using prior information from 1H MRI |
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| Affiliation: | 1. Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany;2. Institute of Radiology, University Hospital Erlangen, Erlangen, Germany;1. Department of Radiology and Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108, USA;2. Department of Bioengineering, University of Utah, 36 S Wasatch Drive, Rm 3100, Salt Lake City, UT 84112, USA;3. Siemens Medical Solutions, Inc., 660 First Avenue, 4th Floor, New York, NY 10016, USA;4. Siemens Medical Solutions, Inc., 729 Arapeen Drive, Salt Lake City, UT 84108, USA;5. Division of Nephrology, Department of Internal Medicine, University of Utah, 30 N 1900 E, Rm 4R312, Salt Lake City, UT 84132, USA;1. Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran;2. School of Cognitive Sciences, Institute for Research in Fundamental Sciences, 1954851167, Tehran, Iran;1. Institute of Imaging Science, Vanderbilt University, Nashville, TN 37232, USA;2. Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN 37232, USA;3. Department of Physics and Astronomy, Vanderbilt University, Nashville, TN 37232, USA;4. AstraZeneca, Alderley Park, MACCLESFIELD, Cheshire SK10 4TG, United Kingdom;5. Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA;6. Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA;7. Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN 37232, USA;1. Department of Biomedical Engineering, University of Alberta, Edmonton, Canada;2. Department of Physics, University of Alberta, Edmonton, Canada;3. Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada;1. Medical Physics Laboratory, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy;2. Radiology and Diagnostic Imaging Department, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy;3. Department of Radiotherapy, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy;4. Department of Pathology, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy;5. Department of Otolaryngology & Head and Neck Surgery, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy;1. Dept of Radiology, University of Cambridge and Addenbrooke''s Hospital, Hills Rd, CB20QQ, England, United Kingdom;2. GE Healthcare, Amersham, HP7 9NA, United Kingdom |
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| Abstract: | The purpose of this study is to improve direct phosphorus (31P) MR imaging. Therefore, 3D density-adapted radially-sampled balanced steady-state free precession (bSSFP) sequences were developed and an iterative approach exploiting additional anatomical information from hydrogen (1H) data was evaluated. Three healthy volunteers were examined at B0 = 7 T in order to obtain the spatial distribution of the phosphocreatine (PCr) intensities in the human calf muscle with a nominal isotropic resolution of 10 mm in an acquisition time of 10 min. Three different bSSFP gradient schemes were investigated. The highest signal-to-noise ratio (SNR) was obtained for a scheme with two point-reflected density-adapted gradients. Furthermore, the conventional reconstruction based on a gridding algorithm was compared to an iterative method using an 1H MRI constraint in terms of a segmented binary mask, which comprises prior knowledge. The parameters of the iterative approach were optimized and evaluated by simulations featuring 31P MRI parameters. Thereby, partial volume effects as well as Gibbs ringing artifacts could be reduced. In conclusion, the iterative reconstruction of 31P bSSFP data using an 1H MRI constraint is appropriate for investigating regions where sharp tissue boundaries occur and leads to images that represent the real PCr distributions better than conventionally reconstructed images. |
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