Efficient implementation of ultrasound waveform tomography using data blending

Zhigang Zhang; Lianjie Huang

doi:10.1117/12.2043133

Efficient implementation of ultrasound waveform tomography using data blending

Zhigang Zhang
, Lianjie Huang^*

^*Corresponding author for this work

Los Alamos National Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Ultrasound waveform tomography is a promising tool for breast cancer characterization. However, the method is very time-consuming for large datasets acquired using a synthetic-aperture ultrasound tomography system consisting of hundreds to thousands of transducer elements. We introduce a data blending approach to ultrasound waveform tomography to greatly improves the computational efficiency. This method simultaneously simulates ultrasound waves emitted from multiple transducer elements. A random phase is applied to each source to distinguish the effect of different sources. The random phase helps eliminate the unwanted cross interference produced by different sources. This approach greatly reduces the computation time of ultrasound waveform tomography to one tenth of that for the original ultrasound waveform tomography.

Original language	English
Title of host publication	Medical Imaging 2014
Subtitle of host publication	Ultrasonic Imaging and Tomography
Publisher	SPIE
ISBN (Print)	9780819498335
DOIs	https://doi.org/10.1117/12.2043133
State	Published - 2014
Externally published	Yes
Event	Medical Imaging 2014: Ultrasonic Imaging and Tomography - San Diego, CA, United States Duration: 18 Feb 2014 → 20 Feb 2014

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	9040
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2014: Ultrasonic Imaging and Tomography
Country/Territory	United States
City	San Diego, CA
Period	18/02/14 → 20/02/14

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Breast cancer
data blending
synthetic-aperture ultrasound
ultrasound waveform tomography

Access to Document

10.1117/12.2043133

Cite this

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title = "Efficient implementation of ultrasound waveform tomography using data blending",

abstract = "Ultrasound waveform tomography is a promising tool for breast cancer characterization. However, the method is very time-consuming for large datasets acquired using a synthetic-aperture ultrasound tomography system consisting of hundreds to thousands of transducer elements. We introduce a data blending approach to ultrasound waveform tomography to greatly improves the computational efficiency. This method simultaneously simulates ultrasound waves emitted from multiple transducer elements. A random phase is applied to each source to distinguish the effect of different sources. The random phase helps eliminate the unwanted cross interference produced by different sources. This approach greatly reduces the computation time of ultrasound waveform tomography to one tenth of that for the original ultrasound waveform tomography.",

keywords = "Breast cancer, data blending, synthetic-aperture ultrasound, ultrasound waveform tomography",

author = "Zhigang Zhang and Lianjie Huang",

year = "2014",

doi = "10.1117/12.2043133",

language = "英语",

isbn = "9780819498335",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

booktitle = "Medical Imaging 2014",

address = "美国",

note = "Medical Imaging 2014: Ultrasonic Imaging and Tomography ; Conference date: 18-02-2014 Through 20-02-2014",

}

Zhang, Z & Huang, L 2014, Efficient implementation of ultrasound waveform tomography using data blending. in Medical Imaging 2014: Ultrasonic Imaging and Tomography., 90401O, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 9040, SPIE, Medical Imaging 2014: Ultrasonic Imaging and Tomography, San Diego, CA, United States, 18/02/14. https://doi.org/10.1117/12.2043133

Efficient implementation of ultrasound waveform tomography using data blending. / Zhang, Zhigang; Huang, Lianjie.
Medical Imaging 2014: Ultrasonic Imaging and Tomography. SPIE, 2014. 90401O (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9040).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Efficient implementation of ultrasound waveform tomography using data blending

AU - Zhang, Zhigang

AU - Huang, Lianjie

PY - 2014

Y1 - 2014

N2 - Ultrasound waveform tomography is a promising tool for breast cancer characterization. However, the method is very time-consuming for large datasets acquired using a synthetic-aperture ultrasound tomography system consisting of hundreds to thousands of transducer elements. We introduce a data blending approach to ultrasound waveform tomography to greatly improves the computational efficiency. This method simultaneously simulates ultrasound waves emitted from multiple transducer elements. A random phase is applied to each source to distinguish the effect of different sources. The random phase helps eliminate the unwanted cross interference produced by different sources. This approach greatly reduces the computation time of ultrasound waveform tomography to one tenth of that for the original ultrasound waveform tomography.

AB - Ultrasound waveform tomography is a promising tool for breast cancer characterization. However, the method is very time-consuming for large datasets acquired using a synthetic-aperture ultrasound tomography system consisting of hundreds to thousands of transducer elements. We introduce a data blending approach to ultrasound waveform tomography to greatly improves the computational efficiency. This method simultaneously simulates ultrasound waves emitted from multiple transducer elements. A random phase is applied to each source to distinguish the effect of different sources. The random phase helps eliminate the unwanted cross interference produced by different sources. This approach greatly reduces the computation time of ultrasound waveform tomography to one tenth of that for the original ultrasound waveform tomography.

KW - Breast cancer

KW - data blending

KW - synthetic-aperture ultrasound

KW - ultrasound waveform tomography

UR - https://www.scopus.com/pages/publications/84901807391

U2 - 10.1117/12.2043133

DO - 10.1117/12.2043133

M3 - 会议稿件

AN - SCOPUS:84901807391

SN - 9780819498335

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2014

PB - SPIE

T2 - Medical Imaging 2014: Ultrasonic Imaging and Tomography

Y2 - 18 February 2014 through 20 February 2014

ER -

Efficient implementation of ultrasound waveform tomography using data blending

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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