Reduction of systematic errors in diffusion tensor imaging of the human brain as a prospect for increasing the precision of planning neurosurgical operations with particular emphasis on fiber tracking

This study underscores the importance of correcting spatial systematic errors and noise to ensure precise neuroimaging data. Such advancements are critical for deepening our understanding of neural connectivity and improving its clinical applications in diagnosing and treating neurological conditions.

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Publication Details

Journal
Computers in Biology and Medicine
Published
2025-06-02
DOI
https://doi.org/10.1016/j.compbiomed.2025.110503
Citations
2
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.72

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article

Reduction of systematic errors in diffusion tensor imaging of the human brain as a prospect for increasing the precision of planning neurosurgical operations with particular emphasis on fiber tracking

Artur Krzyżak, Rafał Obuchowicz, Sara Kierońska-Siwak, Julia Lasek et al.
2 citations
Computers in Biology and Medicine
Advanced Neuroimaging Techniques and Applications
2.72
article

Reduction of systematic errors in diffusion tensor imaging of the human brain as a prospect for increasing the precision of planning neurosurgical operations with particular emphasis on fiber tracking

Artur Krzyżak, Rafał Obuchowicz, Sara Kierońska-Siwak, Julia Lasek, Anna K Stefańska
article en
2 citations

Abstract

This study underscores the importance of correcting spatial systematic errors and noise to ensure precise neuroimaging data. Such advancements are critical for deepening our understanding of neural connectivity and improving its clinical applications in diagnosing and treating neurological conditions.

Computers in Biology and MedicineVol. 194
Jagiellonian University (PL), Nicolaus Copernicus University (PL), AGH University of Krakow (PL)
Agencja Badań Medycznych
Sustainable cities and communities
Openalex Percentile: Top 10%
Advanced Neuroimaging Techniques and Applications
2.72
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