Using Diffusion Tensor Imaging to Predict Transport Patterns in Brain

Description

Vital nutrients, accumulated wastes and therapeutic agents are all transported by diffusion in their
journey through brain tissues. 3D computational models of the brain that predict species transport have
proven helpful in regional analysis of disease and drug delivery. In our group, we have developed
computational models using magnetic resonance diffusion tensor imaging (DTI) data sets that account
for heterogeneity and anisotropy of transport. To date, we have used these models to predict spatial
depositions following brain infusions.

Links & Downloads

1. urn:nbn:de:bsz:15-qucosa2-382630
2. https://ul.qucosa.de/id/qucosa%3A38263
3. https://ul.qucosa.de/api/qucosa%3A38263/attachment/ATT-0/

Tags

diffusion, brain

info:eu-repo/classification/ddc/530

ddc:530

Additional Fields

Identifer	oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:38263
Date	06 February 2020
Creators	Sarntinoranont, Malisa, Mareci, Thomas
Source Sets	Hochschulschriftenserver (HSSS) der SLUB Dresden
Language	English
Detected Language	English
Type	info:eu-repo/semantics/acceptedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text
Rights	info:eu-repo/semantics/openAccess
Relation	23, urn:nbn:de:bsz:15-qucosa2-378382, qucosa:37838