GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → neurolabusc → Mricron

neurolabusc / Mricron

Licence: other
Simple medical imaging visualization tool designed for NIfTI images. Includes dcm2nii for conversion of DICOM, Philips, and other proprietary formats.

Programming Languages

pascal
1382 projects

Labels

dicom

Projects that are alternatives of or similar to Mricron

dicomsort
DICOM sorting utility
Stars: ✭ 25 (-32.43%)
Mutual labels:  dicom
Dcm2niix
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
Stars: ✭ 364 (+883.78%)
Mutual labels:  dicom
Fo Dicom
Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
Stars: ✭ 674 (+1721.62%)
Mutual labels:  dicom
Osirix
OsiriX DICOM Viewer
Stars: ✭ 284 (+667.57%)
Mutual labels:  dicom
Dcmtk
Official DCMTK Github Mirror
Stars: ✭ 361 (+875.68%)
Mutual labels:  dicom
Ctk
A set of common support code for medical imaging, surgical navigation, and related purposes.
Stars: ✭ 498 (+1245.95%)
Mutual labels:  dicom
DicomViewer
Dicom images viewer, built special for medical online testing platform
Stars: ✭ 13 (-64.86%)
Mutual labels:  dicom
Dvh Analytics Bokeh
A DVH Database for Clinicians and Researchers (Deprecated)
Stars: ✭ 32 (-13.51%)
Mutual labels:  dicom
Mitk
The Medical Imaging Interaction Toolkit.
Stars: ✭ 360 (+872.97%)
Mutual labels:  dicom
Dicom
⚡High Performance DICOM Medical Image Parser in Go.
Stars: ✭ 643 (+1637.84%)
Mutual labels:  dicom
Pynetdicom
A Python implementation of the DICOM networking protocol
Stars: ✭ 289 (+681.08%)
Mutual labels:  dicom
Medpy
Medical image processing in Python
Stars: ✭ 321 (+767.57%)
Mutual labels:  dicom
Dicomparser
JavaScript parser for DICOM Part 10 data
Stars: ✭ 515 (+1291.89%)
Mutual labels:  dicom
fmjpeg2koj
JPEG2000 codec for DCMTK using openjpeg
Stars: ✭ 32 (-13.51%)
Mutual labels:  dicom
Imageio
Python library for reading and writing image data
Stars: ✭ 846 (+2186.49%)
Mutual labels:  dicom
weasis-dicom-tools
Basic dicom API
Stars: ✭ 19 (-48.65%)
Mutual labels:  dicom
Cornerstonetools
A framework for tools built on top of Cornerstone.
Stars: ✭ 411 (+1010.81%)
Mutual labels:  dicom
Pytorch Dicom Classification
Code for analyzing medical images saved as .dicom files
Stars: ✭ 33 (-10.81%)
Mutual labels:  dicom
Highdicom
High-level DICOM abstractions for the Python programming language
Stars: ✭ 32 (-13.51%)
Mutual labels:  dicom
Ami
AMI Medical Imaging (AMI) JS ToolKit
Stars: ✭ 569 (+1437.84%)
Mutual labels:  dicom
View All Similar Projects ➔

MRIcron / NPM / dcm2nii

About

MRIcron is a viewer for brain imaging data.

Installing

You can download the software from several locations:

  • Download from NITRC.
  • Download from Github.
  • Run the following command to download the latest version for Linux, Macintosh or Windows:
    • curl -fLO https://github.com/neurolabusc/MRIcron/releases/latest/download/MRIcron_linux.zip
    • curl -fLO https://github.com/neurolabusc/MRIcron/releases/download/MRIcron_macOS.dmg
    • curl -fLO https://github.com/neurolabusc/MRIcron/releases/latest/download/MRIcron_windows.zip

Once you have downloaded and extracted the software, you may want to visit the wiki for usage advice.

License

This software includes a BSD license

Future

MRIcron is robust and stable, but development efforts have moved to MRIcroGL. The primary disadvantage of MRIcroGL is that it requires support hardware accelerated OpenGL 3.3 graphics. Therefore, MRIcron remains useful for users of older computers or when connecting to remote supercomputer clusters. These users may also consider fsleyes which can be set up to only require OpenGL 1.4 and indirect rendering.

The latest releases of MRIcron only include the MRIcron viewer and the dcm2niix image converter. Once upon a time, the software was distributed with statistics (NPM) and legacy image converter (dcm2nii). One can still download old releases of MRIcron from NITRC or compile these legacy tools (see next section).

NPM is a tool for non parametric analysis of neuroimaging lesion data. dcm2nii is designed for converting the complicated DICOM format used in medical imaging to the simple NIfTI format preferred by scientists. These tools are mature and hopefully robust but no longer in active development.

  • MRIcron development has moved to MRIcroGL
  • NPM development has been moved to NiiStat
  • dcm2nii development has been moved to dcm2niix
Compiling your own software

You can build MRIcron using Lazarus.

  • Launch Lazarus and open the project.
  • Choose Run/Run to build and execute the program
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].