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Tytuł:
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Single point imaging with radial acquisition and compressed sensing.
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Autorzy:
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Ilbey S; Department of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Jungmann PM; Department of Diagnostic and Interventional Radiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.; Department of Radiology, Cantonal Hospital Grisons, Chur, Switzerland.
Fischer J; Department of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Jung M; Department of Diagnostic and Interventional Radiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Bock M; Department of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Özen AC; Department of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
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Źródło:
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Magnetic resonance in medicine [Magn Reson Med] 2022 Jun; Vol. 87 (6), pp. 2685-2696. Date of Electronic Publication: 2022 Jan 17.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Publication: 1999- : New York, NY : Wiley
Original Publication: San Diego : Academic Press,
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MeSH Terms:
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Artifacts*
Magnetic Resonance Imaging*/methods
Humans ; Image Processing, Computer-Assisted/methods ; Knee Joint/diagnostic imaging ; Phantoms, Imaging
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References:
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Contributed Indexing:
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Keywords: Pointwise Encoding Time Reduction with Radial Acquisition; compressed sensing; magnetic resonance imaging; musculoskeletal imaging; short T2; single point imaging; ultra-short echo time
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Entry Date(s):
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Date Created: 20220117 Date Completed: 20220427 Latest Revision: 20220427
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Update Code:
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20240105
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DOI:
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10.1002/mrm.29156
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PMID:
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35037292
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Purpose: To accelerate the Pointwise Encoding Time Reduction with Radial Acquisition (PETRA) sequence using compressed sensing while preserving the image quality for high-resolution MRI of tissue with ultra-short T 2 ∗ values.
Methods: Compressed sensing was introduced in the PETRA sequence (csPETRA) to accelerate the time-consuming single point acquisition of the k-space center data. Random undersampling was applied to achieve acceleration factors up to Acc = 32. Phantom and in vivo images of the knee joint of six volunteers were measured at 3T using csPETRA sequence with Acc = 4, 8, 12, 16, 24, and 32. Images were compared against fully sampled PETRA data (Acc = 1) for structural similarity and normalized-mean-square-error. Qualitative and semi-quantitative analyses were performed to assess the effect of the acceleration on image artifacts, image quality, and delineation of anatomical structures at the knee.
Results: Even at high acceleration factors of Acc = 16 no aliasing artifacts were observed, and the anatomical details were preserved compared with the fully sampled data. The normalized-mean-square-error was less than 1% for Acc = 16, in which single point imaging acquisition time was reduced from 165 to 10 s, reducing the total scan time from 7.8 to 5.2 min. Semi-quantitative analyses suggest that Acc = 16 yields comparable diagnostic quality as the fully sampled data for knee imaging at a scan time of 5.2 min.
Conclusion: csPETRA allows for ultra-short T 2 ∗ imaging of the knee joint in clinically acceptable scan times while maintaining the image quality of original non-accelerated PETRA sequence.
(© 2022 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)