All software

AMIGOpy

Welcome to AMIGOpy (A Medical Image-based Graphical platfOrm - Python)! This is an evolution of the previously developed MATLAB-based software AMIGOBrachy. While AMIGOBrachy was a user interface tailored specifically for absorbed dose calculations in brachytherapy coupled with MCNP6 MC code, AMIG...

ApertureComplexity

Contains complete functionality of aperture complexity analysis. Extends methodology to any TPS exporting DICOM-RP. Requires pydicom, numpy, pandas, pytest.

BeamSchemeV1

Assists in extracting 1D profiles from 2D datasets. Calculates over 90 different parameters. Supports FFF beams. Not intended to replace commercial software. Not compatible with previous versions (from 1.00).

Bistromath

BistroMath is designed as add-on to the measuring software of water phantom systems used in radiotherapy.

conehead

Early experimental development, code expected to change dramatically. Uses Python/Cython.

FRED

Optimizes proton dose and dose-averaged LET (LETd) simultaneously. Incorporates superiorization of feasibility-seeking algorithms. Satisfactory execution times (14-50 min). Well-tested and documented.

FRoG

Independent dose and LETd prediction tool for proton therapy, GPU-accelerated, sandbox environment, supports variable RBE models. Not for clinical use.

GEANT4

i-cycle

Novel algorithm for integrated, multicriterial optimization of beam angles and IMRT profiles. Generates coplanar and noncoplanar plans. Fully automated. Clinical application commenced.

JulianA

Accelerates proton radiotherapy research. Flexible, modular toolkit. Automatic spot weight optimization. Scripting-first approach (no GUI). DICOM support. GPU programming facilitated.

MAAS-PlanScoreCard

A Varian Eclipse scripting plugin to generate a 'scorecard' for treatment plan quality. Assesses plan quality based on pre-defined metrics.

MonteRay

CPU MC dose calculation engine, capable of simulating therapeutic proton, helium, and carbon ion beams. Uses pre-computed nuclear event database. Aims for GPU acceleration in future.