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HomeMRISIMUL is GPU-based MR physics simulator which integrates realistic aspects of the MRI experiment from signal generation to image formation.
http://mri.dib.uth.gr/
MRISIMUL is GPU-based MR physics simulator which integrates realistic aspects of the MRI experiment from signal generation to image formation.
http://mri.dib.uth.gr/
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MRISIMUL is GPU-based MR physics simulator which integrates realistic aspects of the MRI experiment from signal generation to image formation.
References
http://mri.dib.uth.gr/index.php/references
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. G Kantasis, C. G. Xanthis and A. H. Aletras " Accelerated Cloud and GPU-based Simulations for Quantification of Relaxation Times: An Example with MOLLI. G Kantasis, C. G. Xanthis, K. Haris. Christos G Xanthis, Sebastian L...
Anatomical Models
http://mri.dib.uth.gr/index.php/computer-models/anatomical-models
The MRISIMUL uses three different 3D computer models on which a pulse sequence is applied and the simulated images are calculated. The simplest computer model is a user-defined phantom. Which is developed through a simple Graphical User Interface (GUI). This GUI allows the development of three-dimensional rectangular objects and assign to each of them unique MR characteristics. The second computer model is a brain anatomical model. Simulations show that MOLLI underestimates ECV in shorter pre-Gd myocardi...
Motion Models
http://mri.dib.uth.gr/index.php/computer-models/motion-models
MRISIMUL utilizes three different motion models: respiratory motion, heart motion and blood flow. For simulating heart motion, a mathematical model of myocardial deformation was applied on a cylinder and spatial modulation of magnetization (1-1 SPAMM)* was introduced upon detection of the R-wave in a CINE pulse sequence with 100 phases and 1 vps (views per segment). The result of this simulation is shown in the following video:. SPAMM RF pulses: 45 degrees, three-lobe sinc pulse, 3msec duration. This pro...
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Bloch Simulator for NMR and MRI
http://www.drcmr.dk/bloch
DRCMR - Danish Research Centre for Magnetic Resonance. Brain PhD course 2009. Brain PhD course 2016. Bloch Simulator for education in MRI and NMR. This free educational MRI and NMR sofware executes on any PC without installation of software. Click to try it now. Directly in your browser. Or watch a YouTube introduction to the software. Scroll down for information and software demonstrations. MRI) is a widely used scanning technique based on Nuclear Magnetic Resonance. That shows the very basics of Magnet...
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Skip to main content. The brain listening to spoken narratives. How do the individual words of a story come together to yield an understanding of each sentence? John Hale and colleagues used parsing models based on linguistic theory to model the sequence of MRI images taken during ordinary audiobook listening. The results highlight a region of the temporal lobe that is active in word-by-word structure-building. Read more . Study cracks brain's emotional code. MRI: A window into the brain, and more. MRI t...
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MRISIMUL: A GPU-based MR physics simulator. MRISIMUL is a step-by-step comprehensive Bloch equation simulator which integrates realistic aspects of the MRI experiment from signal generation to image formation. This simulation platform allows its application in large-scale analysis by employing GPU technology. The high performance of MRISIMUL allows its application without model simplifications and with no assumptions with respect to the underlying pulse sequence. When compared to the OpenMP parallel exec...
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Purdue University MRI Facility
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22/12/2013Skip to: site menu. Telecommunications and Soft Computing Group. Aristotle University of Thessaloniki. Department of Electrical and Computer Engineering. Signal Processing and Biomedical Technology Unit. 917;φαρμογές Τηλεπικοινωνιακών Συστημάτων. 2008 TSCG Last modified: December 22,2013.
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