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Compressed Quantitative MRI

Lead Research Organisation: Heriot-Watt University
Department Name: Sch of Engineering and Physical Science

Abstract

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Description New algorithms can be developed for Quantitative imaging that are fast and enable the identification of multiple tissues per pixel in the image
Exploitation Route They can be used throughout medical imaging, or for other imaging applications
Sectors Aerospace

Defence and Marine

Digital/Communication/Information Technologies (including Software)

Healthcare
 
Title BASPLib 
Description BASPLib is an open-source library on GitHub, gathering Python and Matlab codes to solve challenging inverse imaging problems in astronomy and medicine. The primary imaging modality of focus is synthesis imaging by interferometry in radio astronomy, with functionality currently being developed for magnetic resonance imaging and ultrasound imaging in medicine. The BASPLib software suite gathers implementations of the most advanced computational imaging algorithms at the interface of optimisation and deep learning theories. The proposed algorithms can be seen as intermediate steps in the quest for an ultimate "intelligent" imaging algorithm (yet to be devised) providing the joint precision, robustness, efficiency, and scalability required by modern applications. A key feature on this past is algorithm modularity, with regularisation modules (enforcing image and calibration models) alternating with data-fidelity modules (enforcing consistency with the observed data). BASPLib algorithms and software are developed at Edinburgh's Biomedical and Astronomical Signal Processing Laboratory (https://basp.site.hw.ac.uk/) headed by Prof. Wiaux. 
Type Of Technology Software 
Year Produced 2024 
Open Source License? Yes  
Impact Makes advance computational imaging algorithms available to the community and recently triggered new algorithmic developments in astronomical imaging. 
URL https://basp-group.github.io/BASPLib/