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- Publisher Website: 10.1109/FPT.2012.6412134
- Scopus: eid_2-s2.0-84874057346
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Conference Paper: Design considerations of real-time adaptive beamformer for medical ultrasound research using FPGA and GPU
Title | Design considerations of real-time adaptive beamformer for medical ultrasound research using FPGA and GPU |
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Authors | |
Keywords | Adaptive beamformer Adaptive Beamforming Design considerations Development time Medical ultrasound Medical ultrasound systems |
Issue Date | 2012 |
Publisher | IEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000290 |
Citation | The 2012 International Conference on Field-Programmable Technology (FPT 2012), Seoul, South Korea, 10-12 December 2012. In Conference Proceedings, 2012, p. 198-205 How to Cite? |
Abstract | Adaptive beamforming has been well considered as a potential solution for improving the imaging quality of medical ultrasound systems. Despite the promised improvement in lateral resolution, image contrast and imaging penetration, the use of adaptive beamforming is substantially more computationally demanding than conventional delay-and-sum beamformers. While a dedicated hardware solution may be able to address the computational demand of one particular design, the need for an efficient algorithm exploration framework demands a platform solution that is high-performance and easily reprogrammable. To that end, the use of FPGA and GPU for implementing real-time adaptive beamforming on such platform has been explored. The results are evaluated quantitatively in terms of performance and image quality, and qualitatively with respect to ease of system integration and ease of use. In our test cases, both FPGA- and GPU-based solutions achieved real-time throughput exceeding 80 frames-per-second, and over 38x improvement when compared to our baseline CPU implementation. While the development time on GPU platform remains much lower than its FPGA counterpart, the FPGA solution is effective in providing the necessary I/O bandwidth to enable an end-to-end real-time reconfigurable image formation system. © 2012 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/189830 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Chen, J | en_US |
dc.contributor.author | Yu, ACH | en_US |
dc.contributor.author | So, HKH | en_US |
dc.date.accessioned | 2013-09-17T15:00:46Z | - |
dc.date.available | 2013-09-17T15:00:46Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.citation | The 2012 International Conference on Field-Programmable Technology (FPT 2012), Seoul, South Korea, 10-12 December 2012. In Conference Proceedings, 2012, p. 198-205 | en_US |
dc.identifier.isbn | 978-1-4673-2845-6 | - |
dc.identifier.uri | http://hdl.handle.net/10722/189830 | - |
dc.description.abstract | Adaptive beamforming has been well considered as a potential solution for improving the imaging quality of medical ultrasound systems. Despite the promised improvement in lateral resolution, image contrast and imaging penetration, the use of adaptive beamforming is substantially more computationally demanding than conventional delay-and-sum beamformers. While a dedicated hardware solution may be able to address the computational demand of one particular design, the need for an efficient algorithm exploration framework demands a platform solution that is high-performance and easily reprogrammable. To that end, the use of FPGA and GPU for implementing real-time adaptive beamforming on such platform has been explored. The results are evaluated quantitatively in terms of performance and image quality, and qualitatively with respect to ease of system integration and ease of use. In our test cases, both FPGA- and GPU-based solutions achieved real-time throughput exceeding 80 frames-per-second, and over 38x improvement when compared to our baseline CPU implementation. While the development time on GPU platform remains much lower than its FPGA counterpart, the FPGA solution is effective in providing the necessary I/O bandwidth to enable an end-to-end real-time reconfigurable image formation system. © 2012 IEEE. | - |
dc.language | eng | en_US |
dc.publisher | IEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000290 | - |
dc.relation.ispartof | IEEE International Conference on FieId-Programmable Technology Proceedings | en_US |
dc.subject | Adaptive beamformer | - |
dc.subject | Adaptive Beamforming | - |
dc.subject | Design considerations | - |
dc.subject | Development time | - |
dc.subject | Medical ultrasound | - |
dc.subject | Medical ultrasound systems | - |
dc.title | Design considerations of real-time adaptive beamformer for medical ultrasound research using FPGA and GPU | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Chen, J: jychen@eee.hku.hk | en_US |
dc.identifier.email | Yu, ACH: alfred.yu@hku.hk | en_US |
dc.identifier.email | So, HKH: hso@eee.hku.hk | - |
dc.identifier.authority | Yu, ACH=rp00657 | en_US |
dc.identifier.authority | So, HKH=rp00169 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/FPT.2012.6412134 | - |
dc.identifier.scopus | eid_2-s2.0-84874057346 | - |
dc.identifier.hkuros | 222135 | en_US |
dc.identifier.spage | 198 | en_US |
dc.identifier.epage | 205 | en_US |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 131029 | - |