Accelerated Segmented Diffusion-Weighted Prostate Imaging for Higher Resolution, Higher Geometric Fidelity, and Multi-b Perfusion Estimation

Pelin Aksit Ciris, Jr Yuan George Chiou, Daniel I. Glazer, Tzu Cheng Chao, Clare M. Tempany-Afdhal, Bruno Madore, Stephan E. Maier

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)

摘要

Purpose The aim of this study was to improve the geometric fidelity and spatial resolution of multi-b diffusion-weighted magnetic resonance imaging of the prostate. Materials and Methods An accelerated segmented diffusion imaging sequence was developed and evaluated in 25 patients undergoing multiparametric magnetic resonance imaging examinations of the prostate. A reduced field of view was acquired using an endorectal coil. The number of sampled diffusion weightings, or b-factors, was increased to allow estimation of tissue perfusion based on the intravoxel incoherent motion (IVIM) model. Apparent diffusion coefficients measured with the proposed segmented method were compared with those obtained with conventional single-shot echo-planar imaging (EPI). Results Compared with single-shot EPI, the segmented method resulted in faster acquisition with 2-fold improvement in spatial resolution and a greater than 3-fold improvement in geometric fidelity. Apparent diffusion coefficient values measured with the novel sequence demonstrated excellent agreement with those obtained from the conventional scan (R2 = 0.91 for bmax = 500 s/mm2 and R2 = 0.89 for bmax = 1400 s/mm2). The IVIM perfusion fraction was 4.0% ± 2.7% for normal peripheral zone, 6.6% ± 3.6% for normal transition zone, and 4.4% ± 2.9% for suspected tumor lesions. Conclusions The proposed accelerated segmented prostate diffusion imaging sequence achieved improvements in both spatial resolution and geometric fidelity, along with concurrent quantification of IVIM perfusion.

原文English
頁(從 - 到)238-246
頁數9
期刊Investigative radiology
54
發行號4
DOIs
出版狀態Published - 2019 四月 1

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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