Diffusivity-limited q-space trajectory imaging

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Diffusivity-limited q-space trajectory imaging. / Boito, Deneb; Herberthson, Magnus; Dela Haije, Tom; Blystad, Ida; Özarslan, Evren.

In: Magnetic Resonance Letters, Vol. 3, No. 2, 2023, p. 187-196.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Boito, D, Herberthson, M, Dela Haije, T, Blystad, I & Özarslan, E 2023, 'Diffusivity-limited q-space trajectory imaging', Magnetic Resonance Letters, vol. 3, no. 2, pp. 187-196. https://doi.org/10.1016/j.mrl.2022.12.003

APA

Boito, D., Herberthson, M., Dela Haije, T., Blystad, I., & Özarslan, E. (2023). Diffusivity-limited q-space trajectory imaging. Magnetic Resonance Letters, 3(2), 187-196. https://doi.org/10.1016/j.mrl.2022.12.003

Vancouver

Boito D, Herberthson M, Dela Haije T, Blystad I, Özarslan E. Diffusivity-limited q-space trajectory imaging. Magnetic Resonance Letters. 2023;3(2):187-196. https://doi.org/10.1016/j.mrl.2022.12.003

Author

Boito, Deneb ; Herberthson, Magnus ; Dela Haije, Tom ; Blystad, Ida ; Özarslan, Evren. / Diffusivity-limited q-space trajectory imaging. In: Magnetic Resonance Letters. 2023 ; Vol. 3, No. 2. pp. 187-196.

Bibtex

@article{2a4ae5578bcf4ac382c66761e4cf6d6b,

title = "Diffusivity-limited q-space trajectory imaging",

abstract = "Q-space trajectory imaging (QTI) allows non-invasive estimation of microstructural features of heterogeneous porous media via diffusion magnetic resonance imaging performed with generalised gradient waveforms. A recently proposed constrained estimation framework, called QTI+, improved QTI's resilience to noise and data sparsity, thus increasing the reliability of the method by enforcing relevant positivity constraints. In this work we consider expanding the set of constraints to be applied during the fitting of the QTI model. We show that the additional conditions, which introduce an upper bound on the diffusivity values, further improve the retrieved parameters on a publicly available human brain dataset as well as on data acquired from healthy volunteers using a scanner-ready protocol.",

keywords = "Constrained, Diffusion, Diffusion MRI, Microscopic anisotropy, Microstructure, q-space trajectory imaging, QTI, QTI+",

author = "Deneb Boito and Magnus Herberthson and {Dela Haije}, Tom and Ida Blystad and Evren {\"O}zarslan",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

doi = "10.1016/j.mrl.2022.12.003",

language = "English",

volume = "3",

pages = "187--196",

journal = "Magnetic Resonance Letters",

issn = "2772-5162",

publisher = "KeAi Communications Co",

number = "2",

}

RIS

TY - JOUR

T1 - Diffusivity-limited q-space trajectory imaging

AU - Boito, Deneb

AU - Herberthson, Magnus

AU - Dela Haije, Tom

AU - Blystad, Ida

AU - Özarslan, Evren

PY - 2023

Y1 - 2023

N2 - Q-space trajectory imaging (QTI) allows non-invasive estimation of microstructural features of heterogeneous porous media via diffusion magnetic resonance imaging performed with generalised gradient waveforms. A recently proposed constrained estimation framework, called QTI+, improved QTI's resilience to noise and data sparsity, thus increasing the reliability of the method by enforcing relevant positivity constraints. In this work we consider expanding the set of constraints to be applied during the fitting of the QTI model. We show that the additional conditions, which introduce an upper bound on the diffusivity values, further improve the retrieved parameters on a publicly available human brain dataset as well as on data acquired from healthy volunteers using a scanner-ready protocol.

AB - Q-space trajectory imaging (QTI) allows non-invasive estimation of microstructural features of heterogeneous porous media via diffusion magnetic resonance imaging performed with generalised gradient waveforms. A recently proposed constrained estimation framework, called QTI+, improved QTI's resilience to noise and data sparsity, thus increasing the reliability of the method by enforcing relevant positivity constraints. In this work we consider expanding the set of constraints to be applied during the fitting of the QTI model. We show that the additional conditions, which introduce an upper bound on the diffusivity values, further improve the retrieved parameters on a publicly available human brain dataset as well as on data acquired from healthy volunteers using a scanner-ready protocol.

KW - Constrained

KW - Diffusion

KW - Diffusion MRI

KW - Microscopic anisotropy

KW - Microstructure

KW - q-space trajectory imaging

KW - QTI

KW - QTI+

UR - http://www.scopus.com/inward/record.url?scp=85160379674&partnerID=8YFLogxK

U2 - 10.1016/j.mrl.2022.12.003

DO - 10.1016/j.mrl.2022.12.003

M3 - Journal article

AN - SCOPUS:85160379674

VL - 3

SP - 187

EP - 196

JO - Magnetic Resonance Letters

JF - Magnetic Resonance Letters

SN - 2772-5162

IS - 2

ER -

ID: 351237215

Department of Computer Science