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Librehealth Radiology

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Your rating: None Average: 2.8 (10 votes)

Vision

The Radiology module aims at adding capabilities of a Radiology Information system (RIS) into LibreHealth Toolkit.

Objectives

Develop a module capable of manage information in a radiology department.

InVesalius

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Your rating: None Average: 2.4 (16 votes)

InVesalius is a free medical software used to reconstruct structures of the human body. Based on two-dimensional images, acquired using Computed tomography or Magnetic resonance imaging equipments, the software generates virtual three-dimensional models correspondent to anatomical parts of the human body. After reconstructing three-dimensionally DICOM images, the software allows the generation of STL (stereolithography) files. These files can be used for Rapid Prototyping.

Dicoogle

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Your rating: None Average: 4 (25 votes)

Dicoogle is an open source Picture Archiving and Communications System (PACS) archive. Its modular architecture allows the quick development of new functionalities, due the availability of a Software Development Kit (SDK).

Dcm4che

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Your rating: None Average: 4.1 (23 votes)

dcm4che is a collection of open source applications and utilities for the healthcare enterprise. These applications have been developed in the Java programming language for performance and portability, supporting deployment on JDK 1.4 and up.

At the core of the dcm4che project is a robust implementation of the DICOM standard. The dcm4che-1.x DICOM toolkit is used in many production applications across the world, while the current (2.x) version of the toolkit has been re-architected for high performance and flexibility.

iPath

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Your rating: None Average: 3.1 (10 votes)

iPath is providing a free and open platform for "case based collaboration", especially designed for medical applications (telemedicine, etc). The iPath-Server package provides a sort of medical BBS to discuss/consult cases online. Additional modules are available.

OnkoDICOM

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Your rating: None Average: 3.5 (2 votes)

OnkoDICOM was created with Radiation Oncologists to allow Radiation Oncologists to do research on DICOM standard image sets (DICOM-RT, CT, MRI, PET) using open source technologies, such as pydicom, dicompyler-core, PySide6, PIL, and matplotlib. OnkoDICOM is cross platform, open source software, and welcomes contributions from the wider community via GitHub .

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