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Java Light PACS Viewer (jlpv)

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Your rating: None Average: 1.5 (4 votes)

jlpv is a Java Light PACS Viewer application useful for review series or images from DICOM data retrieved from the DCM4CHEE PACS system. It also uses ImageJ as a rendering engine or viewer. This project is in a early stage.

Axial 360

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Your rating: None Average: 2.3 (4 votes)
  • Axial 360 is an interface engine and connector library that enables health care systems of all types - hospital systems, lab systems, EHRs, HIEs, etc - to share clinical data when it is needed.
  • Axial 360 is built using best-of-bread open source components that enable improved scalability, extensibility, and modularity relative to other interface engines.
  • Axial 360 will feature a library of free “connectors” developed by the open source community, that will reduce the time required to interface with applications.

ADDIS

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Your rating: None Average: 4.3 (7 votes)

ADDIS is a software developed within the Dutch Escher-project for managing and analyzing clinical trial information.

ADDIS is a proof-of-concept system that allows us to simultaneously discover the possibilities of and the requirements on a database of structured clinical trials data. The automated discovery and (meta-)analysis of trial data, as well as benefit-risk assessment is supported.

ADDIS comes with two built-in examples:

dicompyler

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Your rating: None Average: 3.8 (9 votes)

dicompyler is an extensible, fully open source radiation therapy research platform based on the DICOM standard. It also functions as a cross-platform viewer for DICOM and DICOM RT objects. dicompyler is written in Python and is built on pydicom, wxPython, PIL, and matplotlib and runs on Windows, Mac OS X and Linux.

OpenIGTLink

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Your rating: None Average: 4 (4 votes)

The goal of OpenIGTLink is to provide a standardized mechanism to connect software/hardware through the network for image-guided therapy (IGT) applications. The features of OpenIGTLink include:

GIMIAS

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Your rating: None Average: 2.4 (10 votes)

GIMIAS is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly technology transfer and commercial product development.

GIMIAS suites are collections of prototypes that build a complete platform for one or more clinical applications.

PsychoPy

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Your rating: None Average: 5 (1 vote)

PsychoPy is an open-source application to allow the presentation of stimuli and collection of data for a wide range of neuroscience, psychology and psychophysics experiments. It’s a free, powerful alternative to Presentation™ or e-Prime™ . It’s written in Python (a free alternative to Matlab™ ) and combines the graphical strengths of OpenGL with the easy Python syntax to give psychophysics a free and simple stimulus presentation and control package.

MRIdb: Medical imaging database

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Your rating: None Average: 4.4 (17 votes)

MRIdb is an end-to-end data management system for MRI, combining the DCM4CHEE DICOM server with a bespoke front-end packaged into an easily deployable virtual machine. It interfaces directly with MRI scanners and handles image storage, retrieval and export. It provides role-based access control, patient-study assignment, and extensive auditing. MRIdb is the result of an ongoing collaboration between the BSS and the Imaging Sciences Department of Imperial College.

Wardware

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Your rating: None Average: 1.5 (2 votes)

An open source nursing observation database app designed directly with ward nurses.

Free D Path

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Your rating: None Average: 4.8 (4 votes)

The Free Diagnostic Pathology Software Project arose from the NHS Improvement’s Lean Histopathology Project in the UK. Histopathology laboratories diagnose diseases, particularly cancers, by examining the appearances of the cells in samples of tissue. Many histopathology laboratories are using antiquated reporting software. Upgrading to a more modern system is expensive. Even the more modern systems often lack the technology needed for pathologists to efficiently report complex cases allowing workflow to be visually managed and supporting the use of customisable templates and proformas.

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