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ITEA is the Eureka Cluster on software innovation
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Code for analysis of advanced diffusion MRI data

Project
20044 ASSIST
Type
New library
Description

A computational framework for analysing advanced diffusion MRI data via state-of-the-art constrained estimation methods:

https://github.com/DenebBoito/qtiplus

By enforcing the relevant mathematical constraints, the method provides improved robustness to noise and accurate estimates of the microstructure-sensitive parameters. This is accomplished even when the number of volumes is limited, thus shortening the data acquisition protocol, making the technique suitable for clinical studies.

Contact
Evren Özarslan
Email
evren.ozarslan@liu.se
Research area(s)
scientific computing, data analysis, MRI
Technical features

Computer program implemented in Matlab.

Integration constraints

The code requires the installation of Matlab and the CVX package.

Targeted customer(s)

Researchers and software developers

Conditions for reuse

The code is licensed under the GNU General Public License v3.0. More details can be found at: https://github.com/DenebBoito/qtiplus/blob/main/LICENSE

Confidentiality
Public
Publication date
01-03-2024
Involved partners
Linköping University (SWE)