How to Install and Uninstall dcm2niix Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: January 11,2025

1. Install "dcm2niix" package

Please follow the guidelines below to install dcm2niix on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                dcm2niix
            
                    
    
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2. Uninstall "dcm2niix" package

This guide covers the steps necessary to uninstall dcm2niix on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                dcm2niix
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the dcm2niix package on Ubuntu 20.10 (Groovy Gorilla)

Package: dcm2niix
Architecture: amd64
Version: 1.0.20181125-1build2
Multi-Arch: foreign
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: 694
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libturbojpeg, libyaml-cpp0.6 (>= 0.6.2)
Suggests: pigz
Filename: pool/universe/d/dcm2niix/dcm2niix_1.0.20181125-1build2_amd64.deb
Size: 174876
MD5sum: 373c3a6c02d2613a1ea7a03c1111e2df
SHA1: c60d371b0c8bfebc2e07a5d2cd8b28be0c7811c5
SHA256: 3846605bb4c6eff4f063522f11386caf6371f7b6d6bc012e04395c30943e290c
SHA512: 735b878ed49045e683c6763dd68b1b2c576b49ac2401a17476fc8b6afc63afed3d6357dad5a1b3e5865206a2cfc2253427085b319a51304cb0fc43d545d0a6d1
Homepage: https://github.com/rordenlab/dcm2niix
Description-en: next generation DICOM to NIfTI converter
dcm2niix is the successor of dcm2nii, a popular tool for converting images
from the complicated formats used by scanner manufacturers (DICOM, PAR/REC)
to the simpler NIfTI format used by many scientific tools. It works for all
modalities (CT, MRI, PET, SPECT) and sequence types.
Description-md5: 87adc72fb839d25eb3a7bdde4a778ff8