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On 9th February 2020

HealthyPi

Home About News Projects Wiki Search Other hardware (non-MR) Software HealthyPi 3D SlicerOpenVnmrJ – Open Source variant of VnmrJ 4.2 Application An open-source, multi-parameter, full fledged human body vital sign monitoring HAT for Raspberry Pi as well as standalone use. Contributors Ashwin Whitchurch¹ Contact ashwin@protocentral.com Estimated cost Total price: 250$ Progress Hardware: released Software: released [...]
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On 7th January 2020

hMRI-toolbox

The hMRI-toolbox is an easy-to-use open-source and flexible tool, for qMRI data handling and processing. It allows the estimation of high-quality multi-parameter qMRI maps (longitudinal and effective transverse relaxation rates R1 and R2*, proton density PD and magnetisation transfer MT saturation),…

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On 1st May 2019

MIRT

The Michigan Image Reconstruction Toolbox (MIRT) is a collection of open source algorithms for image reconstruction (and related imaging problems) written in Mathwork’s MATLAB language.

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Bilateral Breast Fusion Algorithms

The integrated models can be used for the study of Specific Absorption Rate (SAR) and thermal analysis in radio-frequency(RF) exposure. The following methodology has the potential to be applied on any patient-based whole-body breast models.

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On 26th September 2016

Gadgetron

Gadgetron is an open source framework for medical image reconstruction. It consists of two main components: First, a modular, high performance framework for streaming data processing through a set of modules or “Gadgets”. Second, it provides a set of tool-boxes for common image reconstruction…

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On 8th July 2016

PowerGrid

PowerGrid is an accelerated, open source, freely available toolkit for iterative reconstruction supporting non-Cartesian trajectories. Using high level compiler directives, GPU accelerated Fourier transform operators were implemented in a high level syntax designed to correlate with the popular Image…

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On 31st May 2016

Minimum Field Strength Simulator

A framework for simulating low-field proton-density weighted MRI acquisitions based on high-field acquisitions, which could be used to predict the minimum B0 field strength requirements for MRI techniques. This framework would be particularly useful in the evaluation of de-noising and constrained…

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