Streamlining Neuroimaging - Snakemake's Role in Developing a Striatal Segmentation Pipeline

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F24%3A10488856" target="_blank" >RIV/00064165:_____/24:10488856 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/24:00376097 RIV/00216208:11110/24:10488856
Result on the web
<a href="https://doi.org/10.1007/978-3-031-62520-6_68" target="_blank" >https://doi.org/10.1007/978-3-031-62520-6_68</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-62520-6_68" target="_blank" >10.1007/978-3-031-62520-6_68</a>

Result language
angličtina
Original language name
Streamlining Neuroimaging - Snakemake's Role in Developing a Striatal Segmentation Pipeline
Original language description
The striatum, a component of the basal ganglia, has been extensively investigated in human and animal models due to its links to neurodegenerative diseases. One of the overarching goals of these studies is to identify biomarkers that can facilitate early detection during the prodromal or initial manifestation stages of these diseases. Various methods of diffusion magnetic resonance (dMRI) analysis are a promising avenue in human studies. A recent innovation provides a novel method of parceling the human striatum into distinct compartments with connectivity specific for the striosomes and matrix. This method involves numerous processing steps and requires significant computational resources. Integration of a scientific workflow is recommended to simplify deployment, ensure scalability and reliability, and facilitate the addition and parameterization of processes. This can potentially improve the efficiency of future research in this domain. In this study, we introduce a pipeline capable of segmenting striosome-like and matrix-like voxels in the human striatum using dMRI images, leveraging the scientific workflow tool, Snakemake.
Czech name
—
Czech description
—

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Digital Health and Medical Bioengineering. EHB 2023. IFMBE Proceedings
ISBN
978-3-031-62519-0
ISSN
1680-0737
e-ISSN
—
Number of pages
8
Pages from-to
610-617
Publisher name
Springer
Place of publication
Cham
Event location
Bucharest
Event date
Nov 9, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001326809000068

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