Open Source C Medical Physics Software

The MRiLab project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MRiLab/ The MRiLab is a numerical MRI simulation package. It has been developed and optimized to simulate MR signal formation, k-space acquisition and MR image reconstruction. MRiLab provides several dedicated toolboxes to analyze RF pulse, design MR sequence, configure multiple transmitting and receiving coils, investigate magnetic field related properties and evaluate real-time imaging technique. The main MRiLab simulation platform combined with those toolboxes can be applied to customize various virtual MR experiments which can serve as a prior stage for prototyping and testing new MR technique and application. If you find MRiLab useful for your work, please cite this paper: Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. IEEE Transactions on Medical Imaging. 2016. doi: 10.1109/TMI.2016.2620961

This project, developed at UCL London, provides code for tomographic reconstruction. NiftyRec is written in C and has Python and Matlab extensions. Computationally intensive functions have a GPU accelerated version based on CUDA.

CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations. Speedup by a factor of 22 and 32 is obtained for the EEG and MEG solution respectively when compared to the fastest CPU implementation available in the public domain. The complete source code and pre-compiled binaries are also made available via an open source license (GPL Version 3). A CUDA enabled NVIDIA graphics card is required to use the software.

Oree - Optimum Real-time Estimation of Events of Interaction: real-time reconstruction of photon interaction events in Gamma Cameras. Optionally making use of a CUDA enable GPU, Oree achieves reconstruction of over 1M events/sec.

[2015-06-12] Orthanc has left SourceForge. All the downloads are now available directly from our official Website: http://www.orthanc-server.com/browse.php

SimPET (http://www.sim-pet.org) is an open, efficient, and user‐friendly online platform for the generation of synthetic brain PET datasets. The platform offers the ability to generate realistic activity and attenuation maps from patient's PET/CT and MRI images. These maps can then be simulated, and sinograms and simulated images can be downloaded. More advanced features can be obtained by using the SimPET scripts: https://github.com/txusser/brainviset_simset https://github.com/txusser/simpet (New version pre-alpha) You can also upload your own phantoms to simulate. Currently the platform incorporates MC models for the GE Advance, GE Discovery ST and Siemens mCT. More models are on the way. You can also access all the previously simulated datasets from the dev team to test your quantification pipeline (Files section in this page). This project is an open collaboration between IDIS (www.idisantiago.es), Qubiotech (www.qubiotech.es), and FGUMA (www.fguma.es).

We present a Monte Carlo static light migration model (Endo-MCML) to simulate endoscopic optical spectroscopy for tubular organs such as esophagus and colon or organs lying behind tubular organs like prostate. Differ from the well-known multi-layered slab tissue model (MCML), our model employs multi-layered hollow cylinder which emitting and receiving light both from the inner boundary to meet the conditions of endoscopy. Inhomogeneous sphere can also be added in tissue layers to model cancer or other abnormal changes. The Endo-MCML is based on the MCML while some key algorithms especially the boundary hitting judgment and the reflectance/transmittance calculation are developed to meet the condition of curved boundaries. This model can be used for the forward modeling of light transport during endoscopically diffuse optical spectroscopy, light scattescattering spectroscopy, reflectance spectroscopy and other static optical detection or imaging technologies.

The openLBMflow is an fast fluid flow solver based on Lattice Boltzmann Method. Main future are 2D and 3D code, single and multiphase models, Output data in VTK format can be directly open in Paraview. Download Windows or Linux binary version now.

Various utilities useful for handling PET data esp. of stationary planar PEM, including fully 3D ML-EM based image reconstruction, real time viewing of scanning image and the KDE based GUI for scanning, viewing and image reconstruction.