How to Install and Uninstall bart Package on Kali Linux

Last updated: May 18,2024

1. Install "bart" package

This guide covers the steps necessary to install bart on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                bart
            
                    
    
    Copied

2. Uninstall "bart" package

Please follow the steps below to uninstall bart on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                bart
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the bart package on Kali Linux

Package: bart
Version: 0.9.00-2
Installed-Size: 2328
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libblas3 | libblas.so.3, libc6 (>= 2.34), libfftw3-single3 (>= 3.3.10), libgomp1 (>= 4.9), liblapacke (>= 3.11.0), libpng16-16 (>= 1.6.2)
Suggests: octave-bart
Size: 831448
SHA256: c7e733eb4be539e3f4f8973917871f887dae2d673a820114fbed4ced88f245ee
SHA1: bb9c17617470aa3e4b9c5d39b34b674950b7ba2b
MD5sum: 367c9676b5017a27a965f23982a1ceda
Description: 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,
compressed sensing, and machine learning.
Description-md5:
Homepage: https://mrirecon.github.io/bart/
Section: science
Priority: optional
Filename: pool/main/b/bart/bart_0.9.00-2_amd64.deb