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Book ; Online: Chapter 7 Estimating chemical and microstructural heterogeneity by correlating relaxation and diffusion

Tax, Chantal M.W.

2020

Keywords	Chemistry ; nmr; chemistry
Language	0\|e
Size	1 electronic resource (35 pages)
Publisher	Royal Society of Chemistry
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT021610626
ISBN	9781788019927 ; 178801992X
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online ; Conference proceedings ; E-Book: Computational diffusion MRI

Bonet-Carne, Elisenda / Grussu, Francesco / Ning, Liping / Sepehrband, Farshid / Tax, Chantal M. W.

International MICCAI Workshop, Granada, Spain, September 2018

(Mathematics and visualization)

2019

Author's details	Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax editors
Series title	Mathematics and visualization
Keywords	Electronic data processing ; Computer science ; Computer vision ; Computer simulation ; Artificial intelligence
Language	English
Size	1 Online-Ressource (xii, 390 Seiten), Illustrationen
Publisher	Springer
Publishing place	Cham
Publishing country	Switzerland
Document type	Book ; Online ; Conference proceedings ; E-Book
Remark	Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
HBZ-ID	HT020128767
ISBN	978-3-030-05831-9 ; 9783030058302 ; 3-030-05831-X ; 3030058301
DOI	10.1007/978-3-030-05831-9
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: The impact of head orientation with respect to B

Kleban, Elena / Jones, Derek K / Tax, Chantal M W

Imaging neuroscience (Cambridge, Mass.)

2023 Volume 1, Page(s) 1–17

Abstract: Diffusion tensor MRI (DT-MRI) remains the most commonly used approach to characterise white matter (WM) anisotropy. However, DT estimates may be affected by tissue orientation w.r.t. ...

Abstract	Diffusion tensor MRI (DT-MRI) remains the most commonly used approach to characterise white matter (WM) anisotropy. However, DT estimates may be affected by tissue orientation w.r.t.
Language	English
Publishing date	2023-09-25
Publishing country	United States
Document type	Journal Article
ISSN	2837-6056
ISSN (online)	2837-6056
DOI	10.1162/imag_a_00012
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning.

Planchuelo-Gómez, Álvaro / Descoteaux, Maxime / Larochelle, Hugo / Hutter, Jana / Jones, Derek K / Tax, Chantal M W

Medical image analysis

2024 Volume 94, Page(s) 103134

Abstract: Diffusion-relaxation MRI aims to extract quantitative measures that characterise microstructural tissue properties such as orientation, size, and shape, but long acquisition times are typically required. This work proposes a physics-informed learning ... ...

Abstract	Diffusion-relaxation MRI aims to extract quantitative measures that characterise microstructural tissue properties such as orientation, size, and shape, but long acquisition times are typically required. This work proposes a physics-informed learning framework to extract an optimal subset of diffusion-relaxation MRI measurements for enabling shorter acquisition times, predict non-measured signals, and estimate quantitative parameters. In vivo and synthetic brain 5D-Diffusion-T
MeSH term(s)	Humans ; Magnetic Resonance Imaging/methods ; Diffusion Magnetic Resonance Imaging/methods ; Brain/diagnostic imaging ; Neuroimaging ; Machine Learning
Language	English
Publishing date	2024-03-05
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1356436-5
ISSN	1361-8423 ; 1361-8431 ; 1361-8415
ISSN (online)	1361-8423 ; 1361-8431
ISSN	1361-8415
DOI	10.1016/j.media.2024.103134
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Zs.A 5206: Show issues

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ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Constrained spherical deconvolution -based tractography of major language tracts reveals post-stroke bilateral white matter changes correlated to aphasia.

Soliman, Radwa Kamel / Tax, Chantal M W / Abo-Elfetoh, Noha / Zaitoun, Mohamed M A / Khedr, Eman M

Magnetic resonance imaging

2022 Volume 95, Page(s) 19–26

Abstract: Purpose: Using constrained spherical deconvolution (CSD)-based tractography, we aimed to obtain conjoint analysis of diffusion measures of major language white matter (WM) tracts in post-stroke aphasic patients bilaterally, and to correlate the measures ...

Abstract	Purpose: Using constrained spherical deconvolution (CSD)-based tractography, we aimed to obtain conjoint analysis of diffusion measures of major language white matter (WM) tracts in post-stroke aphasic patients bilaterally, and to correlate the measures of each tract to the different language deficits. Material and methods: 17 aphasic patients with left hemispheric stroke, at the subacute stage, and ten age- matched controls underwent diffusion MRI examination. CSD-based tractography was performed. Diffusion measures [fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD)] were extracted after dissection of major language tracts bilaterally. Aphasia was assessed using language subset of hemispheric stroke scale. Comparisons of diffusion measures, for all tracts, between the two groups were performed. Partial correlations between the diffusion measures and different language components were obtained. Results: In the left hemisphere, significant lower FA and or higher MD with higher RD of patients' WM tracts compared to the control group. Significant differences of diffusion measures were also evident in the right hemisphere yet, less prominent. All changes reflected damage of the tracts' integrity. Significant correlations were found between comprehension and FA of the left arcuate fasciculus (AF) and left inferior longitudinal fasciculus. Additionally, a significant correlation was found between MD of the right AF and repetition. Conclusion: Conjoint analysis of diffusion measures, based on CSD tractography, can provide important markers for the underlying WM changes bilaterally. Moreover, our findings emphasize that language processing can be mediated by both ventral and dorsal streams and further highlight the contribution of the right AF in repetition.
MeSH term(s)	Humans ; White Matter/diagnostic imaging ; Language ; Diffusion Tensor Imaging ; Neural Pathways ; Aphasia/diagnostic imaging ; Aphasia/etiology ; Stroke/complications ; Stroke/diagnostic imaging
Language	English
Publishing date	2022-10-15
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	604885-7
ISSN	1873-5894 ; 0730-725X
ISSN (online)	1873-5894
ISSN	0730-725X
DOI	10.1016/j.mri.2022.10.004
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Zs.A 1817: Show issues

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ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Structural magnetic resonance imaging in dystonia: A systematic review of methodological approaches and findings.

MacIver, Claire L / Tax, Chantal M W / Jones, Derek K / Peall, Kathryn J

European journal of neurology

2022 Volume 29, Issue 11, Page(s) 3418–3448

Abstract: Background and purpose: Structural magnetic resonance techniques have been widely applied in neurological disorders to better understand tissue changes, probing characteristics such as volume, iron deposition and diffusion. Dystonia is a hyperkinetic ... ...

Abstract	Background and purpose: Structural magnetic resonance techniques have been widely applied in neurological disorders to better understand tissue changes, probing characteristics such as volume, iron deposition and diffusion. Dystonia is a hyperkinetic movement disorder, resulting in abnormal postures and pain. Its pathophysiology is poorly understood, with normal routine clinical imaging in idiopathic forms. More advanced tools provide an opportunity to identify smaller scale structural changes which may underpin pathophysiology. This review aims to provide an overview of methodological approaches undertaken in structural brain imaging of dystonia cohorts, and to identify commonly identified pathways, networks or regions that are implicated in pathogenesis. Methods: Structural magnetic resonance imaging studies of idiopathic and genetic forms of dystonia were systematically reviewed. Adhering to strict inclusion and exclusion criteria, PubMed and Embase databases were searched up to January 2022, with studies reviewed for methodological quality and key findings. Results: Seventy-seven studies were included, involving 1945 participants. The majority of studies employed diffusion tensor imaging (DTI) (n = 45) or volumetric analyses (n = 37), with frequently implicated areas of abnormality in the brainstem, cerebellum, basal ganglia and sensorimotor cortex and their interconnecting white matter pathways. Genotypic and motor phenotypic variation emerged, for example fewer cerebello-thalamic tractography streamlines in genetic forms than idiopathic and higher grey matter volumes in task-specific than non-task-specific dystonias. Discussion: Work to date suggests microstructural brain changes in those diagnosed with dystonia, although the underlying nature of these changes remains undetermined. Employment of techniques such as multiple diffusion weightings or multi-exponential relaxometry has the potential to enhance understanding of these differences.
MeSH term(s)	Brain/pathology ; Diffusion Tensor Imaging ; Dystonia/diagnostic imaging ; Dystonic Disorders/diagnostic imaging ; Humans ; Iron ; Magnetic Resonance Imaging/methods
Chemical Substances	Iron (E1UOL152H7)
Language	English
Publishing date	2022-07-22
Publishing country	England
Document type	Journal Article ; Review ; Systematic Review ; Research Support, Non-U.S. Gov't
ZDB-ID	1280785-0
ISSN	1468-1331 ; 1351-5101 ; 1471-0552
ISSN (online)	1468-1331
ISSN	1351-5101 ; 1471-0552
DOI	10.1111/ene.15483
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Zs.A 4738: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 592: Show issues

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Article ; Online: Advanced Diffusion-Weighted MRI for Cancer Microstructure Assessment in Body Imaging, and Its Relationship With Histology.

Fokkinga, Ella / Hernandez-Tamames, Juan A / Ianus, Andrada / Nilsson, Markus / Tax, Chantal M W / Perez-Lopez, Raquel / Grussu, Francesco

Journal of magnetic resonance imaging : JMRI

2023

Abstract: Diffusion-weighted magnetic resonance imaging (DW-MRI) aims to disentangle multiple biological signal sources in each imaging voxel, enabling the computation of innovative maps of tissue microstructure. DW-MRI model development has been dominated by ... ...

Abstract	Diffusion-weighted magnetic resonance imaging (DW-MRI) aims to disentangle multiple biological signal sources in each imaging voxel, enabling the computation of innovative maps of tissue microstructure. DW-MRI model development has been dominated by brain applications. More recently, advanced methods with high fidelity to histology are gaining momentum in other contexts, for example, in oncological applications of body imaging, where new biomarkers are urgently needed. The objective of this article is to review the state-of-the-art of DW-MRI in body imaging (ie, not including the nervous system) in oncology, and to analyze its value as compared to reference colocalized histology measurements, given that demonstrating the histological validity of any new DW-MRI method is essential. In this article, we review the current landscape of DW-MRI techniques that extend standard apparent diffusion coefficient (ADC), describing their acquisition protocols, signal models, fitting settings, microstructural parameters, and relationship with histology. Preclinical, clinical, and in/ex vivo studies were included. The most used techniques were intravoxel incoherent motion (IVIM; 36.3% of used techniques), diffusion kurtosis imaging (DKI; 16.7%), vascular, extracellular, and restricted diffusion for cytometry in tumors (VERDICT; 13.3%), and imaging microstructural parameters using limited spectrally edited diffusion (IMPULSED; 11.7%). Another notable category of techniques relates to innovative b-tensor diffusion encoding or joint diffusion-relaxometry. The reviewed approaches provide histologically meaningful indices of cancer microstructure (eg, vascularization/cellularity) which, while not necessarily accurate numerically, may still provide useful sensitivity to microscopic pathological processes. Future work of the community should focus on improving the inter-/intra-scanner robustness, and on assessing histological validity in broader contexts. LEVEL OF EVIDENCE: NA TECHNICAL EFFICACY: Stage 2.
Language	English
Publishing date	2023-11-30
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	1146614-5
ISSN	1522-2586 ; 1053-1807
ISSN (online)	1522-2586
ISSN	1053-1807
DOI	10.1002/jmri.29144
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Zs.A 3648: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 236: Show issues

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Article ; Online: Ultra-strong diffusion-weighted MRI reveals cerebellar grey matter abnormalities in movement disorders.

Tax, Chantal M W / Genc, Sila / MacIver, Claire L / Nilsson, Markus / Wardle, Mark / Szczepankiewicz, Filip / Jones, Derek K / Peall, Kathryn J

NeuroImage. Clinical

2023 Volume 38, Page(s) 103419

Abstract: Structural brain MRI has proven invaluable in understanding movement disorder pathophysiology. However, most work has focused on grey/white matter volumetric (macrostructural) and white matter microstructural effects, limiting understanding of frequently ...

Abstract	Structural brain MRI has proven invaluable in understanding movement disorder pathophysiology. However, most work has focused on grey/white matter volumetric (macrostructural) and white matter microstructural effects, limiting understanding of frequently implicated grey matter microstructural differences. Using ultra-strong spherical tensor encoding diffusion-weighted MRI, a persistent MRI signal was seen in healthy cerebellar grey matter even at high diffusion-weightings (b ≥ 10,000 s/mm
MeSH term(s)	Humans ; Young Adult ; Adult ; Middle Aged ; Gray Matter/diagnostic imaging ; Diffusion Tensor Imaging/methods ; Dystonia/pathology ; Brain ; White Matter/diagnostic imaging ; White Matter/pathology ; Magnetic Resonance Imaging ; Parkinson Disease/pathology ; Spinocerebellar Ataxias/pathology
Language	English
Publishing date	2023-04-28
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2701571-3
ISSN	2213-1582 ; 2213-1582
ISSN (online)	2213-1582
ISSN	2213-1582
DOI	10.1016/j.nicl.2023.103419
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain.

Tax, Chantal M W / Szczepankiewicz, Filip / Nilsson, Markus / Jones, Derek K

NeuroImage

2020 Volume 210, Page(s) 116534

Abstract: The so-called "dot-compartment" is conjectured in diffusion MRI to represent small spherical spaces, such as cell bodies, in which the diffusion is restricted in all directions. Previous investigations inferred its existence from data acquired with ... ...

Abstract	The so-called "dot-compartment" is conjectured in diffusion MRI to represent small spherical spaces, such as cell bodies, in which the diffusion is restricted in all directions. Previous investigations inferred its existence from data acquired with directional diffusion encoding which does not permit a straightforward separation of signals from 'sticks' (axons) and signals from 'dots'. Here we combine isotropic diffusion encoding with ultra-strong diffusion gradients (240 mT/m) to achieve high diffusion-weightings with high signal to noise ratio, while suppressing signal arising from anisotropic water compartments with significant mobility along at least one axis (e.g., axons). A dot-compartment, defined to have apparent diffusion coefficient equal to zero and no exchange, would result in a non-decaying signal at very high b-values (b≳7000s/mm
MeSH term(s)	Adult ; Cerebellar Cortex/diagnostic imaging ; Diffusion Magnetic Resonance Imaging/methods ; Diffusion Tensor Imaging/methods ; Female ; Gray Matter/diagnostic imaging ; Humans ; Male ; Neuroimaging/methods ; White Matter/diagnostic imaging
Language	English
Publishing date	2020-01-11
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1147767-2
ISSN	1095-9572 ; 1053-8119
ISSN (online)	1095-9572
ISSN	1053-8119
DOI	10.1016/j.neuroimage.2020.116534
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Zs.A 3664: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 7: Show issues

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Article ; Online: Measuring compartmental T

Tax, Chantal M W / Kleban, Elena / Chamberland, Maxime / Baraković, Muhamed / Rudrapatna, Umesh / Jones, Derek K

NeuroImage

2021 Volume 236, Page(s) 117967

Abstract: The anisotropy of brain white matter microstructure manifests itself in orientational-dependence of various MRI contrasts, and can result in significant quantification biases if ignored. Understanding the origins of this orientation-dependence could ... ...

Abstract	The anisotropy of brain white matter microstructure manifests itself in orientational-dependence of various MRI contrasts, and can result in significant quantification biases if ignored. Understanding the origins of this orientation-dependence could enhance the interpretation of MRI signal changes in development, ageing and disease and ultimately improve clinical diagnosis. Using a novel experimental setup, this work studies the contributions of the intra- and extra-axonal water to the orientation-dependence of one of the most clinically-studied parameters, apparent transverse relaxation T
MeSH term(s)	Adult ; Diffusion Magnetic Resonance Imaging/methods ; Diffusion Tensor Imaging/methods ; Female ; Humans ; Image Processing, Computer-Assisted ; Male ; Models, Theoretical ; White Matter/anatomy & histology ; White Matter/diagnostic imaging
Language	English
Publishing date	2021-04-29
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1147767-2
ISSN	1095-9572 ; 1053-8119
ISSN (online)	1095-9572
ISSN	1053-8119
DOI	10.1016/j.neuroimage.2021.117967
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Zs.MO 7: Show issues

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