Quantitative magnetic resonance imaging of brain anatomy and in vivo histology

被引:116
|
作者
Weiskopf, Nikolaus [1 ,2 ]
Edwards, Luke J. [1 ]
Helms, Gunther [1 ,3 ]
Mohammadi, Siawoosh [1 ,4 ]
Kirilina, Evgeniya [1 ,5 ]
机构
[1] Max Planck Inst Human Cognit & Brain Sci, Dept Neurophys, Leipzig, Germany
[2] Univ Leipzig, Fac Phys & Earth Sci, Felix Bloch Inst Solid State Phys, Leipzig, Germany
[3] Lund Univ, Dept Clin Sci, Lund, Sweden
[4] Univ Med Ctr Hamburg Eppendorf, Dept Syst Neurosci, Hamburg, Germany
[5] Free Univ Berlin, Ctr Cognit Neurosci Berlin, Berlin, Germany
基金
瑞典研究理事会; 欧盟地平线“2020”; 欧洲研究理事会;
关键词
WATER PROTON RELAXATION; DIFFUSION-WEIGHTED MRI; SPINAL-CORD-INJURY; WHITE-MATTER; MULTIPLE-SCLEROSIS; FIBER ORIENTATION; T-2; RELAXATION; AXON DIAMETER; RETROSPECTIVE CORRECTION; RESTRICTED DIFFUSION;
D O I
10.1038/s42254-021-00326-1
中图分类号
O59 [应用物理学];
学科分类号
摘要
Quantitative magnetic resonance imaging (qMRI) goes beyond conventional MRI, which aims primarily at local image contrast. It provides specific physical parameters related to the nuclear spin of protons in water, such as relaxation times. These parameters carry information about the local microstructural environment of the protons (such as myelin in the brain). Non-invasive in vivo histology using MRI (hMRI) aims to use this information to directly characterize biological tissue microstructure, partially replacing or complementing classical invasive histology. The understanding of MRI tissue contrast provided by hMRI is, in turn, crucial for further improvements of qMRI, and they should be considered closely interlinked. We discuss concepts, models and validation approaches, pointing out challenges and the latest advances in this field. Further, we point out links to physics, including computational and analytical approaches and developments in materials science and photonics, that aid in reference data acquisition and model validation. Quantitative magnetic resonance imaging and in vivo histology go beyond standard magnetic resonance imaging, aiming at characterizing tissue microstructure of the living brain. This Technical Review discusses advances in concepts, instrumentation, biophysical models and validation approaches facilitating this rapidly developing field.
引用
收藏
页码:570 / 588
页数:19
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