多参数磁共振成像
体素
质子
范围(计算机科学)
航程(航空)
医学
物理
计算机科学
工程类
航空航天工程
核物理学
放射科
癌症
内科学
程序设计语言
前列腺癌
作者
Hernan J. Jara,Osamu Sakai,Ezequiel Farrher,Ana‐Maria Oros‐Peusquens,Nadim Jon Shah,David C. Alsop,Kathryn E. Keenan
出处
期刊:Radiology
[Radiological Society of North America]
日期:2022-08-30
卷期号:305 (1): 5-18
被引量:51
标识
DOI:10.1148/radiol.211519
摘要
This review on brain multiparametric quantitative MRI (MP-qMRI) focuses on the primary subset of quantitative MRI (qMRI) parameters that represent the mobile (“free”) and bound (“motion-restricted”) proton pools. Such primary parameters are the proton densities, relaxation times, and magnetization transfer parameters. Diffusion qMRI is also included because of its wide implementation in complete clinical MP-qMRI application. MP-qMRI advances were reviewed over the past 2 decades, with substantial progress observed toward accelerating image acquisition and increasing mapping accuracy. Areas that need further investigation and refinement are identified as follows: (a) the biologic underpinnings of qMRI parameter values and their changes with age and/or disease and (b) the theoretical limitations implicitly built into most qMRI mapping algorithms that do not distinguish between the different spatial scales of voxels versus spin packets, the central physical object of the Bloch theory. With rapidly improving image processing techniques and continuous advances in computer hardware, MP-qMRI has the potential for implementation in a wide range of clinical applications. Currently, three emerging MP-qMRI applications are synthetic MRI, macrostructural qMRI, and microstructural tissue modeling. © RSNA, 2022
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