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Self-Calibrating Wave-Encoded Variable-Density Single-Shot Fast Spin Echo Imaging.
Chen, Feiyu; Taviani, Valentina; Tamir, Jonathan I; Cheng, Joseph Y; Zhang, Tao; Song, Qiong; Hargreaves, Brian A; Pauly, John M; Vasanawala, Shreyas S.
Afiliação
  • Chen F; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Taviani V; Global MR Applications and Workflow, GE Healthcare, Menlo Park, California, USA.
  • Tamir JI; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA.
  • Cheng JY; Department of Radiology, Stanford University, Stanford, California, USA.
  • Zhang T; Global MR Applications and Workflow, GE Healthcare, Houston, Texas, USA.
  • Song Q; Department of Radiology, Stanford University, Stanford, California, USA.
  • Hargreaves BA; Department of Radiology, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, PRC.
  • Pauly JM; Department of Radiology, Stanford University, Stanford, California, USA.
  • Vasanawala SS; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
J Magn Reson Imaging ; 47(4): 954-966, 2018 04.
Article em En | MEDLINE | ID: mdl-28906567
BACKGROUND: It is highly desirable in clinical abdominal MR scans to accelerate single-shot fast spin echo (SSFSE) imaging and reduce blurring due to T2 decay and partial-Fourier acquisition. PURPOSE: To develop and investigate the clinical feasibility of wave-encoded variable-density SSFSE imaging for improved image quality and scan time reduction. STUDY TYPE: Prospective controlled clinical trial. SUBJECTS: With Institutional Review Board approval and informed consent, the proposed method was assessed on 20 consecutive adult patients (10 male, 10 female, range, 24-84 years). FIELD STRENGTH/SEQUENCE: A wave-encoded variable-density SSFSE sequence was developed for clinical 3.0T abdominal scans to enable high acceleration (3.5×) with full-Fourier acquisitions by: 1) introducing wave encoding with self-refocusing gradient waveforms to improve acquisition efficiency; 2) developing self-calibrated estimation of wave-encoding point-spread function and coil sensitivity to improve motion robustness; and 3) incorporating a parallel imaging and compressed sensing reconstruction to reconstruct highly accelerated datasets. ASSESSMENT: Image quality was compared pairwise with standard Cartesian acquisition independently and blindly by two radiologists on a scale from -2 to 2 for noise, contrast, confidence, sharpness, and artifacts. The average ratio of scan time between these two approaches was also compared. STATISTICAL TESTS: A Wilcoxon signed-rank tests with a P value under 0.05 considered statistically significant. RESULTS: Wave-encoded variable-density SSFSE significantly reduced the perceived noise level and improved the sharpness of the abdominal wall and the kidneys compared with standard acquisition (mean scores 0.8, 1.2, and 0.8, respectively, P < 0.003). No significant difference was observed in relation to other features (P = 0.11). An average of 21% decrease in scan time was achieved using the proposed method. DATA CONCLUSION: Wave-encoded variable-density sampling SSFSE achieves improved image quality with clinically relevant echo time and reduced scan time, thus providing a fast and robust approach for clinical SSFSE imaging. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 6 J. Magn. Reson. Imaging 2018;47:954-966.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Abdome Tipo de estudo: Clinical_trials / Observational_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Abdome Tipo de estudo: Clinical_trials / Observational_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article