Improving the sensitivity of tractography using microstructure modeling and pseudo-inversion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F18%3AN0000068" target="_blank" >RIV/00098892:_____/18:N0000068 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/18:PU126805
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Improving the sensitivity of tractography using microstructure modeling and pseudo-inversion
Original language description
Tractography is a method to map white matter bundles within brain tissue based on diffusion MRI techniques. It seems to be a promising way of detecting white matter structure in vivo, however, method seems to be prone to false positives if standard methods of tractography are used. The paper promises to explore the possibilities of optimization techniques which would enable to include more informative models to the tractography procedure by filtering out false positives from a set of candidate tracts. To detect anatomically plausible tracts, inverse problem from matrix equation y = Ax is solved with help of pseudo-inversion technique. However, pseudo-inversion seems to be inappropriate for system of such dimensions and conditioning
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
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 Conference on Applied Mathematics (APLIMAT 2018)
ISBN
978-802274765-3
ISSN
—
e-ISSN
—
Number of pages
9
Pages from-to
832-839
Publisher name
Curran Associates
Place of publication
New York, USA
Event location
Bratislava
Event date
Feb 6, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—