Possibilities of Using Multi-b-value Diffusion Magnetic Resonance Imaging for Classification of Brain Lesions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F24%3A00078446" target="_blank" >RIV/65269705:_____/24:00078446 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/24:00135934
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S1076633223005378" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S1076633223005378</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.acra.2023.10.002" target="_blank" >10.1016/j.acra.2023.10.002</a>
Alternative languages
Result language
angličtina
Original language name
Possibilities of Using Multi-b-value Diffusion Magnetic Resonance Imaging for Classification of Brain Lesions
Original language description
In contrast to conventional diffusion magnetic resonance imaging (MRI), multi-b-value diffusion MRI methods are able to separate the signal from free water, pseudo-diffusion, and non-Gaussian components of water molecule diffusion. These approaches can then be utilised in so-called intravoxel incoherent motion imaging and diffusion kurtosis imaging. Various parameters provided by these methods can describe additional characteristics of the tissue microstructure and potentially help in the diagnosis and classification of various pathological processes. In this review, we present the basic principles and methods of analysing multi-b-value diffusion imaging data and specifically focus on the known possibilities for its use in the diagnosis of brain lesions. We also suggest possible directions for further research.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
30224 - Radiology, nuclear medicine and medical imaging
Result continuities
Project
<a href="/en/project/NU21-08-00359" target="_blank" >NU21-08-00359: Classification of brain tumors using advanced techniques of multimodal diffusion MRI data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Academic Radiology
ISSN
1076-6332
e-ISSN
1878-4046
Volume of the periodical
31
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
261-272
UT code for WoS article
001155113400001
EID of the result in the Scopus database
2-s2.0-85176225314