How to Install and Uninstall qnifti2dicom Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: November 22,2024

You can also install and uninstall the qnifti2dicom on the following distributions in the same way, as they are all based on the Ubuntu system

Kubuntu 22.04 LTS
Lubuntu 22.04 LTS
Xubuntu 22.04 LTS
Ubuntu MATE 22.04 LTS
Ubuntu Studio 22.04 LTS
Pop!_OS 22.04 LTS
Zorin OS 16 / Zorin OS 17
Ubuntu Budgie 22.04

1. Install "qnifti2dicom" package

Learn how to install qnifti2dicom on Ubuntu 22.04 LTS (Jammy Jellyfish)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                qnifti2dicom
            
                    
    
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2. Uninstall "qnifti2dicom" package

This is a short guide on how to uninstall qnifti2dicom on Ubuntu 22.04 LTS (Jammy Jellyfish):


    
        
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                sudo apt remove
            
                        
                qnifti2dicom
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the qnifti2dicom package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: qnifti2dicom
Architecture: amd64
Version: 0.4.11-3
Priority: optional
Section: universe/science
Source: nifti2dicom
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3445
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgdcm3.0 (>= 3.0.7), libinsighttoolkit4.13 (>= 4.13.3withdata-dfsg1), libqt5core5a (>= 5.15.1), libqt5gui5 (>= 5.0.2) | libqt5gui5-gles (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 9), libvtk7.1p, libvtk7.1p-qt, nifti2dicom (= 0.4.11-3), nifti2dicom-data (= 0.4.11-3)
Filename: pool/universe/n/nifti2dicom/qnifti2dicom_0.4.11-3_amd64.deb
Size: 483872
MD5sum: b2e1aaccda13f71d79ea6c66c7eb3b76
SHA1: c8cd2f4dbf188591b376c66d2ffcefa9f674b04e
SHA256: c50b3cf9643bf88fdbdeebcf42e231059ae5a4e7781b9c2ea7b80babf770d34f
SHA512: 19db9121cac927e562d6def42907f0d7c5702e1560ba97eb2c94a32935c98fe6462b5eebd36267235578cfb2867ffd599700f2f209a7585ea3f3c1306422211c
Homepage: https://github.com/biolab-unige/nifti2dicom
Description: convert 3D medical images to DICOM 2D series (gui)
Description-md5: e01e19cf078e0efb71ab585a07a1fc72