High performance MRI simulations of motion on multi-GPU systems

  title={High performance MRI simulations of motion on multi-GPU systems},
  author={Christos G. Xanthis and Ioannis E. Venetis and Anthony H. Aletras},
  journal={Journal of Cardiovascular Magnetic Resonance},
  pages={48 - 48}
BackgroundMRI physics simulators have been developed in the past for optimizing imaging protocols and for training purposes. However, these simulators have only addressed motion within a limited scope. The purpose of this study was the incorporation of realistic motion, such as cardiac motion, respiratory motion and flow, within MRI simulations in a high performance multi-GPU environment.MethodsThree different motion models were introduced in the Magnetic Resonance Imaging SIMULator (MRISIMUL… 
GPU-based computational modeling of magnetic resonance imaging of vascular structures
This paper proposes to use graphics processing units (GPUs) for fast simulations of MRI of vascular structures using a CUDA environment which supports general purpose computation on GPU (GPGPU) and shows that MRI simulations can be accelerated significantly thanks to GPGPU.
BlochSolver: A GPU-optimized fast 3D MRI simulator for experimentally compatible pulse sequences.
GPU Accelerated Simulations of Magnetic Resonance Imaging of Vascular Structures
A GPU-based parallel approach to simulate MRI of vascular structures using CUDA framework and taking advantage of GPU memory hierarchy to efficiently exploit GPU computational power is presented.
Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model
MRiLab combines realistic tissue modeling with numerical virtualization of an MRI system and scanning experiment to enable assessment of a broad range of MRI approaches including advanced quantitative MRI methods inferring microstructure on a sub-voxel level.
A Fast GPU-optimized 3D MRI Simulator for Arbitrary k-space Sampling
  • Ryoichi Kose, Ayana Setoi, K. Kose
  • Physics, Medicine
    Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
  • 2018
The 3D MRI simulator developed for arbitrary k-space sampling optimized using GPUs is a powerful tool for the development and evaluation of advanced imaging sequences including both Cartesian and non-Cartesian k- space sampling.
Numerical simulation of time-resolved 3D phase-contrast magnetic resonance imaging
The MRI simulation framework is used to identify the origins of the MRI measurement errors and the simulated MR velocity images compare favorably to both the flow computed by solving the Navier-Stokes equations and experimental 4D Flow MRI measurements.
Numerical simulations for phase-contrast magnetic resonance imaging
A methodology for the assessment of 4D Flow MRI measurements in complex flow configuration is developed and the typical errors present in 4D flow MRI images, whether relevant to the velocity field itself or to classical derived quantities, are revealed.
Virtual clinical trials in medical imaging: a review
This work summarizes the major developments and current status of the field of VCTs in medical imaging, and reviews the core components of a VCT: computational phantoms, simulators of different imaging modalities, and interpretation models.
A review of GPU-based medical image reconstruction.
  • P. Després, X. Jia
  • Computer Science
    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
Massively parallel CUDA simulations of cardiac and embryonic MRI on a cloud-based cluster
This study implemented cardiac and embryonic MR simulations on a cloud-based cluster using an anatomical model of a human embryo split over a variable number of computer nodes on the cloud to produce the simulated MR image, following the MapReduce paradigm.


MRISIMUL: A GPU-Based Parallel Approach to MRI Simulations
The aim was to develop a magnetic resonance imaging (MRI) simulator that makes no assumptions with respect to the underlying pulse sequence and also allows for complex large-scale analysis on a single computer without requiring simplifications of the MRI model.
High‐performance computing MRI simulations
JEMRIS, the Jülich Extensible MRI Simulator, which provides an MRI sequence development and simulation environment for the MRI community, is presented and examples of novel simulation results in active fields of MRI research are given.
MRI simulation using the k-space formalism.
Development of a functional magnetic resonance imaging simulator for modeling realistic rigid‐body motion artifacts
An overview of the development of the FMRI simulator is given, in a controlled and precise way, to simulate the full effects of various rigid‐body motion artifacts in FMRI data and therefore formulate and test algorithms for their reduction.
The SIMRI project: a versatile and interactive MRI simulator.
A computer simulation of nuclear magnetic resonance imaging
A modular, user‐friendly computer simulation of NMR imaging was created for the DEC VAX computer, which serves as a drawing board for studying MRI phenomena and a teaching program for demonstrating basic techniques.
Modified Look‐Locker T1 evaluation using Bloch simulations: Human and phantom validation
Bloch simulations for modified Look‐Locker imaging provide an accurate method to comprehensively quantify the effect of pulse sequence parameters on T1 accuracy and may be useful to optimize the modified Look-Locker Imaging sequence and compare differences in T1‐derived measurements from different scanners or institutions.
Emulation of human and rodent cardiac motion with a computer‐controlled cardiac phantom using DENSE MRI
In this work, human myocardial motion is studied in an electrical and in an MRI-compatible (pneumatic) version of a specialized, commercially available, human cardiac phantom at 1.5 Tesla using
A study of the motion and deformation of the heart due to respiration
It is shown that the rigid-body motion of the heart is primarily in the craniocaudal direction with smaller displacements in the right-left and anterior-posterior directions; this is in agreement with previous studies.
Acquisition Times in Magnetic Resonance Imaging: Optimization in Clinical Use
The authors analyze the software-controlled magnetic-resonance-imaging parameters to reduce the health examination acquisition time by assuring a good quality of the images and investigate the parameters that influence the time acquisition and the signal-to-noise ratio.