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Dicom3tools

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Your rating: None Average: 4.2 (5 votes)

"Command line utilities for creating, modifying, dumping and validating files of DICOM attributes, and conversion of proprietary image formats to DICOM. Can handle older ACR/NEMA format data, and some proprietary versions of that such as SPI."

XMedCon

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Your rating: None Average: 1.9 (7 votes)

The project stands for Medical Image Conversion. Released under the (L)GPL licence, it comes with the full C-source code of the library, a flexible command-line utility and a neat graphical front-end using the Gtk+ toolkit. The supported formats are: Acr/Nema 2.0, Analyze (SPM), Concorde/µPET, DICOM 3.0, CTI ECAT 6/7, NIfTI-1, InterFile3.3 and PNG or Gif87a/89a.

JULIDE

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JULIDE is a software toolkit developed to perform the 3D reconstruction, intensity normalization, volume standardization by 3D image registration and voxel-wise statistical analysis of autoradiographs of mouse brain sections.

Dicom4j

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Your rating: None Average: 1.3 (3 votes)

The purpose of the dicom4j platform is to provide java components related to the Dicom Standard. For those purpose, the platform is based on 4 areas:

  • framework: framework which implements the standards
  • toolkit: offer ways to easily develop software based on the framework
  • plugins: end-user components which adress commons needs you can find in most dicom applications
  • apps: stand alone applications for end-user or tests purpose

Ginkgo CADx

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Your rating: None Average: 3.8 (6 votes)

Ginkgo CADx project started in 2009 with the aim to create an interactive, universal, homogeneous, open-source and cross-platform CADX environment.

Ginkgo is built over a huge amount of advanced technologies providing full abstraction of complex tasks as:

Insight Segmentation and Registration Toolkit (ITK)

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Your rating: None Average: 3.2 (5 votes)

ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.

MIView

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Your rating: None Average: 2.1 (7 votes)

MIView is an OpenGL based medical image viewer that contains useful tools such as a DICOM anonymizer and format conversion utility. MIView can read DICOM, Analyze/Nifti, and raster images, and can write Analyze/Nifti and raster images. It can also read and convert DICOM mosaic images. The main goal of MIView is to provide a platform to load any type of medical image and be able to view and manipulate the image. Volume rendering is the main type of advanced visualization that I'm trying to implement.

DVTk – DICOM Validation Toolkit

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Your rating: None Average: 3.9 (7 votes)

DVTk is an open source project for testing, validating and diagnosing communication protocols and scenario's in medical environments. It supports DICOM, HL7 and IHE integration profiles. The applications from the DVTk Project are must haves for software developers, test engineers and service engineers that work in the healthcare domain. The DVTk project can save you time in your daily work and bring products and services to a higher quality level.

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