DocumentCode :
3116848
Title :
Acceleration of image reconstruction in 3D ultrasound computer tomography: An evaluation of CPU, GPU and FPGA computing
Author :
Birk, Matthias ; Guth, Alexander ; Zapf, Michael ; Balzer, Matthias ; Ruiter, Nicole ; Hübner, Michael ; Becker, Jürgen
Author_Institution :
Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
fYear :
2011
fDate :
2-4 Nov. 2011
Firstpage :
1
Lastpage :
8
Abstract :
As today´s standard screening methods frequently fail to diagnose breast cancer before metastases have developed, earlier breast cancer diagnosis is still a major challenge. Three-dimensional ultrasound computer tomography promises high-quality images of the breast, but is currently limited by a time-consuming synthetic aperture focusing technique based image reconstruction. In this work, we investigate the acceleration of the image reconstruction by a GPU, and by the FPGAs embedded in our custom data acquisition system. We compare the obtained performance results with a recent multi-core CPU and show that both platforms are able to accelerate processing. The GPU reaches the highest performance. Furthermore, we draw conclusions in terms of applicability of the accelerated reconstructions in future clinical application and highlight general principles for speed-up on GPUs and FPGAs.
Keywords :
biomedical ultrasonics; cancer; computerised tomography; field programmable gate arrays; graphics processing units; image reconstruction; medical image processing; multiprocessing systems; ultrasonic imaging; 3D ultrasound computer tomography; FPGA; GPU; breast cancer diagnosis; data acquisition system; multicore CPU; synthetic aperture focusing technique based image reconstruction; Acceleration; Data acquisition; Field programmable gate arrays; Graphics processing unit; Image reconstruction; Instruction sets; Kernel; FPGA; GPU; Medical Imaging; Performance Comparison;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design and Architectures for Signal and Image Processing (DASIP), 2011 Conference on
Conference_Location :
Tampere
Print_ISBN :
978-1-4577-0620-2
Electronic_ISBN :
978-1-4577-0619-6
Type :
conf
DOI :
10.1109/DASIP.2011.6136856
Filename :
6136856
Link To Document :
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