In vivo visualization of displacement-distribution-derived parameters in q-space imaging.
Lätt, Jimmy LU ; Nilsson, Markus LU ; Wirestam, Ronnie LU
; Johansson, Edvin
LU
; Larsson, Elna-Marie
LU
; Ståhlberg, Freddy
LU
and Brockstedt, Sara
LU
(2008)
In Magnetic Resonance Imaging
26(1).
p.77-87
- Abstract
- Objective
This study aimed to explore the potential of in vivo q-space imaging in the differentiation between different cerebral water components.
Materials and Methods
Diffusion-weighted imaging was performed in six directions with 32 equally spaced q values and a maximum b value of 6600 s/mm2. The shape of the signal-attenuation curve and the displacement propagator were examined and compared with a normal distribution using the kurtosis parameter. Maps displaying kurtosis, fast and slow components of the apparent diffusion coefficients, fractional anisotropy and directional diffusion were calculated. The displacement propagator was further described by the full width at half and at tenth... (More) - Objective
This study aimed to explore the potential of in vivo q-space imaging in the differentiation between different cerebral water components.
Materials and Methods
Diffusion-weighted imaging was performed in six directions with 32 equally spaced q values and a maximum b value of 6600 s/mm2. The shape of the signal-attenuation curve and the displacement propagator were examined and compared with a normal distribution using the kurtosis parameter. Maps displaying kurtosis, fast and slow components of the apparent diffusion coefficients, fractional anisotropy and directional diffusion were calculated. The displacement propagator was further described by the full width at half and at tenth maximum and by the probability density of zero displacement P(0). Three healthy volunteers and three patients with previously diagnosed multiple sclerosis (MS) were examined.
Results
Simulations indicated that the kurtosis of a signal-attenuation curve can determine if more than one water component is present and that care must be taken to select an appropriate threshold. It was possible to distinguish MS plaques in both signal and diffusional kurtosis maps, and in one patient, plaques of different degree of demyelinization showed different behavior.
Discussion
Our results indicate that in vivo q-space analysis is a potential tool for the assessment of different cerebral water components, and it might extend the diagnostic interpretation of data from diffusion magnetic resonance imaging. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/539657
- author
- Lätt, Jimmy
LU
; Nilsson, Markus
LU
; Wirestam, Ronnie
LU
; Johansson, Edvin
LU
; Larsson, Elna-Marie
LU
; Ståhlberg, Freddy
LU
and Brockstedt, Sara
LU
- organization
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Magnetic Resonance Imaging
- volume
- 26
- issue
- 1
- pages
- 77 - 87
- publisher
- Elsevier
- external identifiers
-
- wos:000252288500011
- scopus:37349021659
- pmid:17582719
- ISSN
- 1873-5894
- DOI
- 10.1016/j.mri.2007.04.001
- language
- English
- LU publication?
- yes
- id
- ff32ae0f-731e-4f9f-8391-32f1810f891d (old id 539657)
- alternative location
- http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=17582719&dopt=Abstract
- date added to LUP
- 2016-04-01 12:15:39
- date last changed
- 2022-03-21 01:39:22
@article{ff32ae0f-731e-4f9f-8391-32f1810f891d,
abstract = {{Objective<br/><br>
<br/><br>
This study aimed to explore the potential of in vivo q-space imaging in the differentiation between different cerebral water components.<br/><br>
Materials and Methods<br/><br>
<br/><br>
Diffusion-weighted imaging was performed in six directions with 32 equally spaced q values and a maximum b value of 6600 s/mm2. The shape of the signal-attenuation curve and the displacement propagator were examined and compared with a normal distribution using the kurtosis parameter. Maps displaying kurtosis, fast and slow components of the apparent diffusion coefficients, fractional anisotropy and directional diffusion were calculated. The displacement propagator was further described by the full width at half and at tenth maximum and by the probability density of zero displacement P(0). Three healthy volunteers and three patients with previously diagnosed multiple sclerosis (MS) were examined.<br/><br>
Results<br/><br>
<br/><br>
Simulations indicated that the kurtosis of a signal-attenuation curve can determine if more than one water component is present and that care must be taken to select an appropriate threshold. It was possible to distinguish MS plaques in both signal and diffusional kurtosis maps, and in one patient, plaques of different degree of demyelinization showed different behavior.<br/><br>
Discussion<br/><br>
<br/><br>
Our results indicate that in vivo q-space analysis is a potential tool for the assessment of different cerebral water components, and it might extend the diagnostic interpretation of data from diffusion magnetic resonance imaging.}},
author = {{Lätt, Jimmy and Nilsson, Markus and Wirestam, Ronnie and Johansson, Edvin and Larsson, Elna-Marie and Ståhlberg, Freddy and Brockstedt, Sara}},
issn = {{1873-5894}},
language = {{eng}},
number = {{1}},
pages = {{77--87}},
publisher = {{Elsevier}},
series = {{Magnetic Resonance Imaging}},
title = {{In vivo visualization of displacement-distribution-derived parameters in q-space imaging.}},
url = {{http://dx.doi.org/10.1016/j.mri.2007.04.001}},
doi = {{10.1016/j.mri.2007.04.001}},
volume = {{26}},
year = {{2008}},
}