A novel optimized parallelization strategy to accelerate microwave tomography for breast cancer screening

A. Shahzad; M. O'Halloran; M. Glavin; E. Jones

doi:10.1109/EMBC.2014.6944119

A novel optimized parallelization strategy to accelerate microwave tomography for breast cancer screening

Electrical & Electronic Engineering

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

8 Citations (Scopus)

Abstract

Microwave tomography has been proven to successfully reconstruct the dielectric profile of a human breast when used in breast imaging applications, thereby providing an alternative to other imaging modalities. However, the method suffers from high computational requirements which restrict its use in practical imaging systems. This paper presents a novel parallelization strategy to accelerate microwave tomography for reconstruction of the dielectric properties of the human breast. A Time Domain algorithm using this parallelization strategy has been validated and benchmarked against an optimized sequential implementation on a conventional high-end desktop Central Processing Unit (CPU), and a comparison of throughput is presented in this paper. The gain in computational throughput is shown to be significantly higher compared with the sequential implementation, ranging from a factor of 26 to 58, on imaging grid sizes of up to 25 cm square at 1mm resolution.

Original language	English
Title of host publication	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2456-2459
Number of pages	4
ISBN (Electronic)	9781424479290
DOIs	https://doi.org/10.1109/EMBC.2014.6944119
Publication status	Published - 2 Nov 2014
Event	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States Duration: 26 Aug 2014 → 30 Aug 2014

Publication series

Name	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Conference

Conference	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Country/Territory	United States
City	Chicago
Period	26/08/14 → 30/08/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/EMBC.2014.6944119

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Shahzad, A., O'Halloran, M., Glavin, M., & Jones, E. (2014). A novel optimized parallelization strategy to accelerate microwave tomography for breast cancer screening. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 2456-2459). Article 6944119 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6944119

Shahzad, A. ; O'Halloran, M. ; Glavin, M. et al. / A novel optimized parallelization strategy to accelerate microwave tomography for breast cancer screening. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 2456-2459 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

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title = "A novel optimized parallelization strategy to accelerate microwave tomography for breast cancer screening",

abstract = "Microwave tomography has been proven to successfully reconstruct the dielectric profile of a human breast when used in breast imaging applications, thereby providing an alternative to other imaging modalities. However, the method suffers from high computational requirements which restrict its use in practical imaging systems. This paper presents a novel parallelization strategy to accelerate microwave tomography for reconstruction of the dielectric properties of the human breast. A Time Domain algorithm using this parallelization strategy has been validated and benchmarked against an optimized sequential implementation on a conventional high-end desktop Central Processing Unit (CPU), and a comparison of throughput is presented in this paper. The gain in computational throughput is shown to be significantly higher compared with the sequential implementation, ranging from a factor of 26 to 58, on imaging grid sizes of up to 25 cm square at 1mm resolution.",

author = "A. Shahzad and M. O'Halloran and M. Glavin and E. Jones",

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Shahzad, A , O'Halloran, M , Glavin, M & Jones, E 2014, A novel optimized parallelization strategy to accelerate microwave tomography for breast cancer screening. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014., 6944119, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 2456-2459, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 26/08/14. https://doi.org/10.1109/EMBC.2014.6944119

A novel optimized parallelization strategy to accelerate microwave tomography for breast cancer screening. / Shahzad, A.; O'Halloran, M.; Glavin, M. et al.
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2456-2459 6944119 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - A novel optimized parallelization strategy to accelerate microwave tomography for breast cancer screening

AU - Shahzad, A.

AU - O'Halloran, M.

AU - Glavin, M.

AU - Jones, E.

PY - 2014/11/2

Y1 - 2014/11/2

N2 - Microwave tomography has been proven to successfully reconstruct the dielectric profile of a human breast when used in breast imaging applications, thereby providing an alternative to other imaging modalities. However, the method suffers from high computational requirements which restrict its use in practical imaging systems. This paper presents a novel parallelization strategy to accelerate microwave tomography for reconstruction of the dielectric properties of the human breast. A Time Domain algorithm using this parallelization strategy has been validated and benchmarked against an optimized sequential implementation on a conventional high-end desktop Central Processing Unit (CPU), and a comparison of throughput is presented in this paper. The gain in computational throughput is shown to be significantly higher compared with the sequential implementation, ranging from a factor of 26 to 58, on imaging grid sizes of up to 25 cm square at 1mm resolution.

AB - Microwave tomography has been proven to successfully reconstruct the dielectric profile of a human breast when used in breast imaging applications, thereby providing an alternative to other imaging modalities. However, the method suffers from high computational requirements which restrict its use in practical imaging systems. This paper presents a novel parallelization strategy to accelerate microwave tomography for reconstruction of the dielectric properties of the human breast. A Time Domain algorithm using this parallelization strategy has been validated and benchmarked against an optimized sequential implementation on a conventional high-end desktop Central Processing Unit (CPU), and a comparison of throughput is presented in this paper. The gain in computational throughput is shown to be significantly higher compared with the sequential implementation, ranging from a factor of 26 to 58, on imaging grid sizes of up to 25 cm square at 1mm resolution.

UR - https://www.scopus.com/pages/publications/84929462040

U2 - 10.1109/EMBC.2014.6944119

DO - 10.1109/EMBC.2014.6944119

M3 - Conference Publication

T3 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

SP - 2456

EP - 2459

BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Y2 - 26 August 2014 through 30 August 2014

ER -

Shahzad A , O'Halloran M , Glavin M , Jones E. A novel optimized parallelization strategy to accelerate microwave tomography for breast cancer screening. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 2456-2459. 6944119. (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). doi: 10.1109/EMBC.2014.6944119

A novel optimized parallelization strategy to accelerate microwave tomography for breast cancer screening

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