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Software Highlights

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1-10 of 10

CIL

Provides modular optimisation framework for prototyping reconstruction methods. Tools for loading, preprocessing, visualising tomographic data. Supports Jupyter Notebooks via Docker.

  • Imaging and Image Processing
  • Python
  • C++
  • C
  • + 4
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ctqa

A Python-based toolkit for CT Quality Assurance (QA). Provides tools for performing common QA tests and generating reports.

  • Quality Assurance
  • Python
  • Batchfile
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DicomClient

A DICOM client application for sending and receiving DICOM files over a network. Designed for simple and easy DICOM communication.

  • Software Engeneering and Data Infrastructure
  • Java
  • HTML
  • Batchfile
  • + 1
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DVTk

"Not for clinical use," only for testing purposes. Supports DICOM, HL7, IHE. Provides applications like anonymizer, editor, network analyzer.

  • Software Engeneering and Data Infrastructure
  • C++
  • C#
  • C
  • + 10
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fo-dicom

Targets.NET Standard 2.0. High-performance, asynchronous API. Supports various image compressions. Anonymization, DICOM services.

  • Software Engeneering and Data Infrastructure
  • C#
  • Batchfile
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MITK

Combines ITK and VTK with an application framework. Aims to reduce effort for interactive medical image analysis applications. Supports Windows, Linux, macOS.

  • Imaging and Image Processing
  • C++
  • CMake
  • C
  • + 8
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OMG Dosimetry

A Python package for performing dosimetry calculations and quality assurance tests. Provides a simple API for common dosimetry tasks.

  • Quality Assurance
  • Python
  • Batchfile
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ParticlePhaseSpace

A set of tools for processing and analysing particle phase space files. Designed for use with Monte Carlo simulations, particularly for proton therapy.

  • Treatment Planning and dosimetry
  • Jupyter Notebook
  • Python
  • Batchfile
  • + 1
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STIR

A software package for tomographic image reconstruction. Primarily used for PET and SPECT. Has been in development since 1994.

  • Imaging and Image Processing
  • C++
  • Verilog
  • C
  • + 11
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TOPASopt

A toolkit for performing optimization with the TOPAS Monte Carlo simulation package. Includes tools for running simulations and analyzing results.

  • Treatment Planning and dosimetry
  • Python
  • PLSQL
  • Batchfile
  • + 1
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