A fast magnetic resonance images (MRI) reconstruction algorithm
taking advantage of the prevailing general purpose graphics
processing unit (GPGPU) programming paradigm is experimented in
this book. In a number of medical imaging modalities, the Fast
Fourier Transform (FFT) is being used for the reconstruction of
images from acquired raw data.The objective is to develop an
algorithm to run under CPU and also in GPU for the reconstruction
by performing the Fast Fourier Transform (FFT) as well as Inverse
Fourier Transformation (IFT) in much faster way. The algorithm is
developed in MATLAB environment. The CUFFT library is used to run
under device to study the improved performance of reconstructions.
GPUMat is used to running CUDA code in MATLAB. This book exercises
the acceleration of MRI reconstruction algorithm on NVIDIA's
GeForce G 103M based GPU and Intel Core 2 Duo based CPU.
Experimental FFT based reconstruction algorithm shows that GPU
based MRI reconstruction achieved significant speedup compared to
the CPUs for medical applications at a cheaper cost. The runtime
for GPU shows that real-time MRI reconstruction will be possible.
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