coreMRI.com simulation platform

coreMRI.comFor more advanced MR simulations, please consider using the coreMRI.com platform. coreMRI provides GPU-based simulations on the cloud with neither upfront investment for purchasing advanced computer systems nor technical programming expertise.

Visit coreMRI.com and upon registration use the promo code #MRISIMUL so as to gain access to the highly-tuned performance of the latest GPUs on the cloud.

References

  1. Christos G Xanthis, Panagiotis G. Papadimitroulas, George C. Kagadis and Anthony H. Aletras "Advanced multi-GPU-based MR simulations (MRISIMUL) on realistic human anatomical models (XCAT)", International Society for Magnetic Resonance in Medicine, ISMRM 2016, Singapore, May 2016  [link]
  2. G. Kantasis, C. G. Xanthis and A. H. Aletras "Accelerated Cloud and GPU-based Simulations for Quantification of Relaxation Times: An Example with MOLLI", 19th Annual Scientific Sessions of Society of Cardiovascular Magnetic Resonance, At Los Angeles, CA, USA, January 2016
  3. C. G. Xanthis, S. Bidhult, G. Kantasis, E. Heiberg, H. Arheden and A. H. Aletras "Parallel simulations for QUAntifying RElaxation magnetic resonance constants (SQUAREMR): an example towards accurate MOLLI T1 measurements", Journal of Cardiovascular Magnetic Resonance, Volume 17, Issue 104, November 2015
  4. C. G. Xanthis, K. Haris and A. H. Aletras, "MRI Simulation-based Evaluation of ECV Calculation using MOLLI T1 maps", Computing in Cardiology, 42nd Annual Conference, Nice, France, September 2015 [link]
  5. G. Kantasis, C. G. Xanthis, K. Haris and A. H. Aletras, "Massively Parallel CUDA Simulations of Cardiac and Embryonic MRI on a Cloud-Based Cluster", Computing in Cardiology, 42nd Annual Conference, Nice, France, September 2015 [link]
  6. Christos G Xanthis, Sebastian L. Bidhult, Georgios Kantasis, Mikael Kanski, Einar Heiberg, Håkan Arheden and Anthony H. Aletras "CMR-footprinting: Quantifying Tissue Parameters with Clinical Pulse Sequence Simulations Improves Measurement Accuracy - an Example with MOLLI T1 Mapping", International Society for Magnetic Resonance in Medicine, ISMRM 2015, Toronto, Ontario, Canada, June 2015 
  7. G. Kantasis, C. G. Xanthis, and A. H. Aletras, "Evaluation of embryonic volumetric measurements in MRI using advanced MR physics simulations", 6th Panhellenic Conference on Biomedical Technology, Athens, Greece, May 2015
  8. G. Kantasis, C. G. Xanthis, and A. H. Aletras, "Simulating MR imaging for the human embryonic heart", Journal of Cardiovascular Magnetic Resonance,vol. 17 (Suppl 1):P48, 2015. [link]
  9. C. G. Xanthis, I. E. Venetis, and A. H. Aletras, “High performance MRI simulations of motion on multi-GPU systems”, Journal of Cardiovascular Magnetic Resonance, vol. 16, Issue 48, 4 July 2014 [link]
  10. C. G. Xanthis, I. E. Venetis, and A. H. Aletras, “Accelerated MR simulations of heart motion model using graphic processing unit technology”, Cardiovascular Spring Meeting 2014, Malmö, Sweden, 7-9 May 2014. [link]
  11. C. G. Xanthis, I. E. Venetis, A. V. Chalkias, and A. H. Aletras, "MRISIMUL: A GPU-based Parallel Approach to MRI Simulations", IEEE Transactions on Medical Imaging, vol. 33, Issue 3, 20 November 2013. [link]
  12. C. G. Xanthis, I. E. Venetis, and A. H. Aletras, "Accelerated MR Physics Simulations on multi-GPU systems", BIBE 2013, Chania, Greece, 10-13 November 2013. [link]
  13. C. G. Xanthis, I. E. Venetis, and A. H. Aletras, "Accelerating MRI physics simulations using GPU computing: comparison with other computer configurations", presented at the 5th Panhellenic Conference on Biomedical Technology, Athens, 2013. [link]
  14. C. G. Xanthis, I. E. Venetis, and A. H. Aletras, "A high performance parallelizable MRI physics simulator with graphic processing unit technology", Journal of Cardiovascular Magnetic Resonance,vol. 15(Suppl 1), 2013. [link]

Twitter News

ACKNOWLEDGMENTS

This project is funded by the European Research Council (PIRG06-GA-2009-256569 FP7 MARIE CURIE IRG). Two NVIDIA Tesla C2070 GPU computing cards were donated from NVIDIA through the “Professor Partnership” program. The University of Thessaly funded hardware for this project. The United States National Library of Medicine (Bethesda, MD) for the Visible Human Project (VHP) dataset.