Quantitative magnetic resonance imaging of brain anatomy and in vivo histology
Weiskopf, Nikolaus ; Edwards, Luke J ; Helms, Gunther LU
; Mohammadi, Siawoosh
and Kirilina, Evgeniya
(2021)
In Nature Reviews Physics
- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/9f3392b8-76a2-4f81-ab82-7d0c83d9db81
- author
- Weiskopf, Nikolaus
; Edwards, Luke J
; Helms, Gunther
LU
; Mohammadi, Siawoosh
and Kirilina, Evgeniya
- organization
- publishing date
- 2021-06-28
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Biological physics, Biophysics, Imaging techniques
- in
- Nature Reviews Physics
- publisher
- Nature Publishing Group
- external identifiers
-
- scopus:85110271677
- DOI
- 10.1038/s42254-021-00326-1
- language
- English
- LU publication?
- yes
- id
- 9f3392b8-76a2-4f81-ab82-7d0c83d9db81
- date added to LUP
- 2021-06-29 07:13:12
- date last changed
- 2022-04-27 02:36:34
@article{9f3392b8-76a2-4f81-ab82-7d0c83d9db81,
abstract = {{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.}},
author = {{Weiskopf, Nikolaus and Edwards, Luke J and Helms, Gunther and Mohammadi, Siawoosh and Kirilina, Evgeniya}},
keywords = {{Biological physics; Biophysics; Imaging techniques}},
language = {{eng}},
month = {{06}},
publisher = {{Nature Publishing Group}},
series = {{Nature Reviews Physics}},
title = {{Quantitative magnetic resonance imaging of brain anatomy and in vivo histology}},
url = {{http://dx.doi.org/10.1038/s42254-021-00326-1}},
doi = {{10.1038/s42254-021-00326-1}},
year = {{2021}},
}