Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI

详细信息    查看全文

• 作者：Ryan L. Brunsing ; Natalie M. Schenker-Ahmed ; Nathan S. White ; J. Kellogg Parsons ; Christopher Kane ; Joshua Kuperman ; Hauke Bartsch ; Andrew Karim Kader ; Rebecca Rakow-Penner ; Tyler M. Seibert ; Daniel Margolis ; Steven S. Raman ; Carrie R. McDonald ; Nikdokht Farid ; Santosh Kesari ; Donna Hansel ; Ahmed Shabaik ; Anders M. Dale and David S. Karow
• 刊名：Journal of Magnetic Resonance Imaging
• 出版年：2017
• 出版时间：February, 2017
• 年：2017
• 卷：45
• 期：2
• 页码：323-336
• 全文大小：795K
• ISSN：1522-2586

文摘

Restriction spectrum imaging (RSI) is a novel diffusion-weighted MRI technique that uses the mathematically distinct behavior of water diffusion in separable microscopic tissue compartments to highlight key aspects of the tissue microarchitecture with high conspicuity. RSI can be acquired in less than 5 min on modern scanners using a surface coil. Multiple field gradients and high b-values in combination with postprocessing techniques allow the simultaneous resolution of length-scale and geometric information, as well as compartmental and nuclear volume fraction filtering. RSI also uses a distortion correction technique and can thus be fused to high resolution T2-weighted images for detailed localization, which improves delineation of disease extension into critical anatomic structures. In this review, we discuss the acquisition, postprocessing, and interpretation of RSI for prostate MRI. We also summarize existing data demonstrating the applicability of RSI for prostate cancer detection, in vivo characterization, localization, and targeting.