Tracking of axonal bundles in diffusion MRI brain images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU116246" target="_blank" >RIV/00216305:26220/15:PU116246 - isvavai.cz</a>
Result on the web
<a href="https://dspace.vutbr.cz/xmlui/bitstream/handle/11012/42955/eeict2015-137-piskorova.pdf?sequence=1&isAllowed=y" target="_blank" >https://dspace.vutbr.cz/xmlui/bitstream/handle/11012/42955/eeict2015-137-piskorova.pdf?sequence=1&isAllowed=y</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Tracking of axonal bundles in diffusion MRI brain images
Original language description
The aim of this work is to design tracking algorithm which will be able to track brain axonal bundles in diffusion weighted MRI data. Estimation of anisotropic diffusion profile inside voxels was performed by diffusion tensor imaging model (DTI). Tracingis based on the 4th order Runge-Kutta method. Algorithm is implemented in the MATLAB computing environment and is tested on real data biological phantom.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 21st Conference STUDENT EEICT 2015
ISBN
978-80-214-5148-3
ISSN
—
e-ISSN
—
Number of pages
3
Pages from-to
137-139
Publisher name
Brno University of Technology, Faculty of Electrical Engineering and Communication
Place of publication
Brno
Event location
Brno
Event date
Apr 23, 2015
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—