Compressed Quantitative MRI
Lead Research Organisation:
Heriot-Watt University
Department Name: Sch of Engineering and Physical Science
Abstract
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Organisations
Publications
Gazzola S
(2015)
Fast nonnegative least squares through flexible Krylov subspaces
Onose A
(2016)
Scalable splitting algorithms for big-data interferometric imaging in the SKA era
in Monthly Notices of the Royal Astronomical Society
Gazzola S
(2017)
Fast Nonnegative Least Squares Through Flexible Krylov Subspaces
in SIAM Journal on Scientific Computing
Vijay Kartik S
(2017)
A Fourier dimensionality reduction model for big data interferometric imaging
in Monthly Notices of the Royal Astronomical Society
Repetti A
(2017)
Non-convex optimization for self-calibration of direction-dependent effects in radio interferometric imaging
in Monthly Notices of the Royal Astronomical Society
Onose A
(2017)
An accelerated splitting algorithm for radio-interferometric imaging: when natural and uniform weighting meet
in Monthly Notices of the Royal Astronomical Society
Thouvenin P
(2018)
Time-Regularized Blind Deconvolution Approach for Radio Interferometry
Naghibzadeh S
(2018)
Facet-Based Regularization for Scalable Radio-Interferometric Imaging
Lyons A
(2018)
Diffuse Time-of-flight Imaging with a Single-Photon Camera
Besson A
(2018)
Ultrafast Ultrasound Imaging as an Inverse Problem: Matrix-Free Sparse Image Reconstruction.
in IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Besson A
(2019)
A Physical Model of Nonstationary Blur in Ultrasound Imaging
in IEEE Transactions on Computational Imaging
Repetti A
(2019)
Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization
in SIAM Journal on Imaging Sciences
Golbabaee M
(2019)
CoverBLIP: accelerated and scalable iterative matched-filtering for magnetic resonance fingerprint reconstruction*
in Inverse Problems
Lyons A
(2019)
Computational time-of-flight diffuse optical tomography
in Nature Photonics
Terris M
(2020)
Building Firmly Nonexpansive Convolutional Neural Networks
Duarte R
(2020)
Greedy approximate projection for magnetic resonance fingerprinting with partial volumes
in Inverse Problems
Repetti A
(2021)
Variable Metric Forward-Backward Algorithm for Composite Minimization Problems
in SIAM Journal on Optimization
Terris M
(2021)
Enhanced Convergent PNP Algorithms For Image Restoration
Thouvenin P
(2023)
Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): I. Algorithm and simulations
in Monthly Notices of the Royal Astronomical Society
Thouvenin P
(2023)
Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA) - II. Code and real data proof of concept
in Monthly Notices of the Royal Astronomical Society
| 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/ |