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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)
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author
organization
publishing date
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
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
2008-08-05 13:11:50
date last changed
2017-08-27 04:11:56
@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},
  volume       = {26},
  year         = {2008},
}