Fast Medical Image Reconstruction using Graphics Processing Unit | Towards Real-Time Reconstruction of Magnetic Resonance Images

Mohammad Nazmul Haque

ISBN 10: 3639376773 / ISBN 13: 9783639376777

Published by VDM Verlag Dr. Müller, 2011

About this Item

Fast Medical Image Reconstruction using Graphics Processing Unit | Towards Real-Time Reconstruction of Magnetic Resonance Images | Mohammad Nazmul Haque | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2011 | VDM Verlag Dr. Müller | EAN 9783639376777 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 106860442

Bibliographic Details

• Title: Fast Medical Image Reconstruction using Graphics Processing Unit | Towards Real-Time Reconstruction of Magnetic Resonance Images
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2011
• Language: English
• ISBN 10: 3639376773
• ISBN 13: 9783639376777
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 113 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

He has received M.Sc and B.Sc in Computer Science & Engineering from Daffodil International University (DIU),Dhaka, Bangladesh. Presently he is serving as Lecturer in the Dept. of CSE at DIU. His research interest includes Image Processing, Data Mining, Bangla OCR, Artificial Intelligence, H/W based image processing and reconfigurable computing.