Quantitative magnetic resonance imaging of brain anatomy and in vivo histology

Nikolaus Weiskopf; Luke J. Edwards; Gunther Helms; Siawoosh Mohammadi; Evgeniya Kirilina

doi:10.1038/s42254-021-00326-1

Quantitative magnetic resonance imaging of brain anatomy and in vivo histology

Standard

Quantitative magnetic resonance imaging of brain anatomy and in vivo histology. / Weiskopf, Nikolaus; Edwards, Luke J.; Helms, Gunther; Mohammadi, Siawoosh; Kirilina, Evgeniya.

In: NAT REV PHYS, Vol. 3, 28.06.2021, p. 570.

Research output: SCORING: Contribution to journal › SCORING: Review article › Research

Harvard

Weiskopf, N, Edwards, LJ, Helms, G, Mohammadi, S & Kirilina, E 2021, 'Quantitative magnetic resonance imaging of brain anatomy and in vivo histology', NAT REV PHYS, vol. 3, pp. 570. https://doi.org/10.1038/s42254-021-00326-1

APA

Weiskopf, N., Edwards, L. J., Helms, G., Mohammadi, S., & Kirilina, E. (2021). Quantitative magnetic resonance imaging of brain anatomy and in vivo histology. NAT REV PHYS, 3, 570. https://doi.org/10.1038/s42254-021-00326-1

Vancouver

Weiskopf N, Edwards LJ, Helms G, Mohammadi S, Kirilina E. Quantitative magnetic resonance imaging of brain anatomy and in vivo histology. NAT REV PHYS. 2021 Jun 28;3:570. https://doi.org/10.1038/s42254-021-00326-1

Bibtex

@article{3becad64cdb446d3911b4602cae3e3c6,

title = "Quantitative magnetic resonance imaging of brain anatomy and in vivo histology",

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 = "Nikolaus Weiskopf and Edwards, {Luke J.} and Gunther Helms and Siawoosh Mohammadi and Evgeniya Kirilina",

year = "2021",

month = jun,

day = "28",

doi = "10.1038/s42254-021-00326-1",

language = "English",

volume = "3",

pages = "570",

journal = "NAT REV PHYS",

issn = "2522-5820",

publisher = "Springer Nature Switzerland AG",

}

RIS

TY - JOUR

T1 - Quantitative magnetic resonance imaging of brain anatomy and in vivo histology

AU - Weiskopf, Nikolaus

AU - Edwards, Luke J.

AU - Helms, Gunther

AU - Mohammadi, Siawoosh

AU - Kirilina, Evgeniya

PY - 2021/6/28

Y1 - 2021/6/28

N2 - 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.

AB - 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.

UR - https://doi.org/10.1038/s42254-021-00326-1

U2 - 10.1038/s42254-021-00326-1

DO - 10.1038/s42254-021-00326-1

M3 - SCORING: Review article

VL - 3

SP - 570

JO - NAT REV PHYS

JF - NAT REV PHYS

SN - 2522-5820

ER -