Gadgetron: An open source framework for medical image reconstruction

M. Hansen; T. Sørensen

DOI:10.1002/mrm.24389

Corpus ID: 37300112

Gadgetron: An open source framework for medical image reconstruction

@article{Hansen2013GadgetronAO,
  title={Gadgetron: An open source framework for medical image reconstruction},
  author={M. Hansen and T. S{\o}rensen},
  journal={Magnetic Resonance in Medicine},
  year={2013},
  volume={69}
}

M. Hansen, T. Sørensen
Published 2013
Computer Science, Medicine
Magnetic Resonance in Medicine

This work presents a new open source framework for medical image reconstruction called the “Gadgetron.” The framework implements a flexible system for creating streaming data processing pipelines where data pass through a series of modules or “Gadgets” from raw data to reconstructed images. The data processing pipeline is configured dynamically at run‐time based on an extensible markup language configuration description. The framework promotes reuse and sharing of reconstruction modules and new… Expand

View on Wiley

Share This Paper

189 Citations

Highly Influential Citations

Background Citations

Methods Citations

Supplemental Presentations

Presentation Slides

Gadgetron: An open source framework for medical image reconstruction

Explore Further

Discover more papers related to the topics discussed in this paper

Topics from this paper

Libraries

An extensible software platform for interdisciplinary cardiovascular imaging research

M. Hüllebrand, D. Messroghli, L. Tautz, T. Kuehne, A. Hennemuth
Medicine, Computer Science
Comput. Methods Programs Biomed.
2020

OpenCLIPER: An OpenCL-Based C++ Framework for Overhead-Reduced Medical Image Processing and Reconstruction on Heterogeneous Devices

Federico Simmross-Wattenberg, Manuel Rodríguez-Cayetano, +4 authors C. Alberola-López
Computer Science, Medicine
IEEE Journal of Biomedical and Health Informatics
2019

MRIReco.jl: An MRI Reconstruction Framework written in Julia

T. Knopp, Mirco Grosser
Medicine, Physics
Magnetic resonance in medicine
2021

SIRF: Synergistic Image Reconstruction Framework

E. Ovtchinnikov, R. Brown, +16 authors K. Thielemans
Computer Science
Comput. Phys. Commun.
2020

Accelerated iterative image reconstruction for cone-beam computed tomography through Big Data frameworks

Estefania Serrano, Javier García-Blas, J. Carretero, M. Desco, M. Abella
Computer Science
Future Gener. Comput. Syst.
2020

A Generic Layer Based Approach for Design of Software for Medical Imaging Systems

S. P. Thara, Sunny Sibi, +8 authors R. Sindhu
Computer Science
2018 International Conference on Smart Systems and Inventive Technology (ICSSIT)
2018

SIRF: Synergistic Image Reconstruction Framework

E. Ovtchinnikov, D. Atkinson, +14 authors K. Thielemans
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
2017

6
Highly Influenced
PDF

A review of GPU-based medical image reconstruction.

P. Després, X. Jia
Computer Science, Medicine
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics
2017