Geodesic ray-tracing in white matter fiber crossing region using decomposition of 4th order tensor
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F21%3A00129133" target="_blank" >RIV/00216224:14310/21:00129133 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/21:00354262
Result on the web
<a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12088/120880Q/Geodesic-ray-tracing-in-white-matter-fiber-crossing-region-using/10.1117/12.2606129.short?SSO=1" target="_blank" >https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12088/120880Q/Geodesic-ray-tracing-in-white-matter-fiber-crossing-region-using/10.1117/12.2606129.short?SSO=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2606129" target="_blank" >10.1117/12.2606129</a>
Alternative languages
Result language
angličtina
Original language name
Geodesic ray-tracing in white matter fiber crossing region using decomposition of 4th order tensor
Original language description
The streamline methods in Diffusion tensor imaging (DTI) use principal eigenvectors for tracking white matter fibers. In comparison, the geodesics in a multivalued ray-tracing method are closer to the actual underlying white matter fibers. This method provides multiple solutions in the form of geodesics in a Riemannian space. These geodesics are robust in tracking high curvature structures in the presence of noise. In the DTI modality, the 2nd order tensor fails to model the heterogeneous regions, e.g., crossing/merging fibers. Therefore, the ray-tracing method is limited to guide the geodesics in these regions. This work, as a first step, utilizes 4th order tensor approximation for the white matter regions. Subsequently, a non-linear optimization is performed to decompose 4th order tensors into multiple 2nd order tensors keeping their symmetric positive definite property. We are using the initial fiber directions from the diagonal components of the 4th order tensor and use the 4th order tensor decomposition for fiber tracking. The experimental results on synthetic images show that geodesics can traverse in heterogeneous and high curvature structures.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/GA20-11473S" target="_blank" >GA20-11473S: Symmetry and invariance in analysis, geometric modelling and control theory</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
17th International Symposium on Medical Information Processing and Analysis
ISBN
9781510650527
ISSN
0277-786X
e-ISSN
1996-756X
Number of pages
8
Pages from-to
1-8
Publisher name
SPIE
Place of publication
Bellingham
Event location
Campinas, Brazil
Event date
Nov 17, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000797319900025