How to Install and Uninstall bart Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 22,2024

1. Install "bart" package

Please follow the steps below to install bart on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                bart
            
                    
    
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2. Uninstall "bart" package

This guide let you learn how to uninstall bart on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                bart
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the bart package on Ubuntu 20.10 (Groovy Gorilla)

Package: bart
Architecture: amd64
Version: 0.6.00-1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 920
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), libfftw3-single3 (>= 3.3.5), libgomp1 (>= 4.9), liblapacke (>= 3.9.0), libpng16-16 (>= 1.6.2-1)
Suggests: octave-bart
Filename: pool/universe/b/bart/bart_0.6.00-1_amd64.deb
Size: 354136
MD5sum: 9a9ff5df3a3921e53960f3c3c682fa71
SHA1: 6b57958f53e69e8399134771b9dc6fba8c456891
SHA256: 2b574ca6a546e0fec871087a0f3de8db53e78e7ab3c73886845aca503ee71f95
SHA512: 78ce5c153b1aa03bdb01ce70b9b9ac79a49b009ada23ec68247153f11016f763c014e175d79fa0065e9f22dcb518ed31cd7984226898280b3201930d5367cf2e
Homepage: https://mrirecon.github.io/bart/
Description-en: tools for computational magnetic resonance imaging
The Berkeley Advanced Reconstruction Toolbox (BART) is a free and
open-source image-reconstruction framework for Computational Magnetic
Resonance Imaging. It consists of a programming library and a toolbox
of command-line programs. The library provides common operations on
multi-dimensional arrays, Fourier and wavelet transforms, as well as
generic implementations of iterative optimization algorithms. The
command-line tools provide direct access to basic operations on
multi-dimensional arrays as well as efficient implementations of
many calibration and reconstruction algorithms for parallel imaging
and compressed sensing.
Description-md5: 6f982d18eab40b33638ecd90fd2f1b5a