Prostate cancer detection using crawling wave sonoelastography

Benjamin Castaneda; Liwei An; Shuang Wu; Laurie L. Baxter; Jorge L. Yao; Jean V. Joseph; Kenneth Hoyt; John Strang; Deborah J. Rubens; Kevin J. Parker

doi:10.1117/12.811720

Prostate cancer detection using crawling wave sonoelastography

Benjamin Castaneda
, Liwei An
, Shuang Wu
, Laurie L. Baxter
, Jorge L. Yao
, Jean V. Joseph
, Kenneth Hoyt
, John Strang
, Deborah J. Rubens
, Kevin J. Parker

University of Rochester
University of Rochester Medical Center
University of Alabama at Birmingham

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

31 Scopus citations

Abstract

Crawling wave (CrW) sonoelastography is an elasticity imaging technique capable of estimating the localized shear wave speed in tissue and, therefore, can provide a quantitative estimation of the Young's modulus for a given vibration frequency. In this paper, this technique is used to detect cancer in excised human prostates and to provide quantitative estimations of the viscoelastic properties of cancerous and normal tissues. Image processing techniques are introduced to compensate for attenuation and reflection artifacts of the CrW images. Preliminary results were obtained with fifteen prostate glands after radical prostatectomy. The glands were vibrated at 100, 120 and 140Hz. At each frequency, three cross-sections of the gland (apex, mid-gland and base) were imaged using CrW Sonoelastography and compared to corresponding histological slices. Results showed good spatial correspondence with histology and an 80% accuracy in cancer detection. In addition, shear velocities for cancerous and normal tissues were estimated as 4.75±0.97 m/s and 3.26±0.87 m/s, respectively.

Original language	English
Title of host publication	Medical Imaging 2009
Subtitle of host publication	Ultrasonic Imaging and Signal Processing
DOIs	https://doi.org/10.1117/12.811720
State	Published - 2009
Event	Medical Imaging 2009: Ultrasonic Imaging and Signal Processing - Lake Buena Vista, FL, United States Duration: 8 Feb 2009 → 9 Feb 2009

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	7265
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2009: Ultrasonic Imaging and Signal Processing
Country/Territory	United States
City	Lake Buena Vista, FL
Period	8/02/09 → 9/02/09

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Crawling wave sonoelastography
Elasticity imaging
Image processing
Prostate cancer detection
Tissue characterization

Access to Document

10.1117/12.811720

Cite this

Castaneda, B., An, L., Wu, S., Baxter, L. L., L. Yao, J., V. Joseph, J., Hoyt, K., Strang, J., J. Rubens, D., & Parker, K. J. (2009). Prostate cancer detection using crawling wave sonoelastography. In Medical Imaging 2009: Ultrasonic Imaging and Signal Processing Article 726513 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7265). https://doi.org/10.1117/12.811720

@inproceedings{2e4683184eb64decb486a1f8ccb10c17,

title = "Prostate cancer detection using crawling wave sonoelastography",

abstract = "Crawling wave (CrW) sonoelastography is an elasticity imaging technique capable of estimating the localized shear wave speed in tissue and, therefore, can provide a quantitative estimation of the Young's modulus for a given vibration frequency. In this paper, this technique is used to detect cancer in excised human prostates and to provide quantitative estimations of the viscoelastic properties of cancerous and normal tissues. Image processing techniques are introduced to compensate for attenuation and reflection artifacts of the CrW images. Preliminary results were obtained with fifteen prostate glands after radical prostatectomy. The glands were vibrated at 100, 120 and 140Hz. At each frequency, three cross-sections of the gland (apex, mid-gland and base) were imaged using CrW Sonoelastography and compared to corresponding histological slices. Results showed good spatial correspondence with histology and an 80\% accuracy in cancer detection. In addition, shear velocities for cancerous and normal tissues were estimated as 4.75±0.97 m/s and 3.26±0.87 m/s, respectively.",

keywords = "Crawling wave sonoelastography, Elasticity imaging, Image processing, Prostate cancer detection, Tissue characterization",

author = "Benjamin Castaneda and Liwei An and Shuang Wu and Baxter, \{Laurie L.\} and \{L. Yao\}, Jorge and \{V. Joseph\}, Jean and Kenneth Hoyt and John Strang and \{J. Rubens\}, Deborah and Parker, \{Kevin J.\}",

year = "2009",

doi = "10.1117/12.811720",

language = "English",

isbn = "9780819475169",

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

booktitle = "Medical Imaging 2009",

note = "Medical Imaging 2009: Ultrasonic Imaging and Signal Processing ; Conference date: 08-02-2009 Through 09-02-2009",

}

Castaneda, B, An, L, Wu, S, Baxter, LL, L. Yao, J, V. Joseph, J, Hoyt, K, Strang, J, J. Rubens, D & Parker, KJ 2009, Prostate cancer detection using crawling wave sonoelastography. in Medical Imaging 2009: Ultrasonic Imaging and Signal Processing., 726513, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, Lake Buena Vista, FL, United States, 8/02/09. https://doi.org/10.1117/12.811720

Prostate cancer detection using crawling wave sonoelastography. / Castaneda, Benjamin; An, Liwei; Wu, Shuang et al.
Medical Imaging 2009: Ultrasonic Imaging and Signal Processing. 2009. 726513 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7265).

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

TY - GEN

T1 - Prostate cancer detection using crawling wave sonoelastography

AU - Castaneda, Benjamin

AU - An, Liwei

AU - Wu, Shuang

AU - Baxter, Laurie L.

AU - L. Yao, Jorge

AU - V. Joseph, Jean

AU - Hoyt, Kenneth

AU - Strang, John

AU - J. Rubens, Deborah

AU - Parker, Kevin J.

PY - 2009

Y1 - 2009

N2 - Crawling wave (CrW) sonoelastography is an elasticity imaging technique capable of estimating the localized shear wave speed in tissue and, therefore, can provide a quantitative estimation of the Young's modulus for a given vibration frequency. In this paper, this technique is used to detect cancer in excised human prostates and to provide quantitative estimations of the viscoelastic properties of cancerous and normal tissues. Image processing techniques are introduced to compensate for attenuation and reflection artifacts of the CrW images. Preliminary results were obtained with fifteen prostate glands after radical prostatectomy. The glands were vibrated at 100, 120 and 140Hz. At each frequency, three cross-sections of the gland (apex, mid-gland and base) were imaged using CrW Sonoelastography and compared to corresponding histological slices. Results showed good spatial correspondence with histology and an 80% accuracy in cancer detection. In addition, shear velocities for cancerous and normal tissues were estimated as 4.75±0.97 m/s and 3.26±0.87 m/s, respectively.

AB - Crawling wave (CrW) sonoelastography is an elasticity imaging technique capable of estimating the localized shear wave speed in tissue and, therefore, can provide a quantitative estimation of the Young's modulus for a given vibration frequency. In this paper, this technique is used to detect cancer in excised human prostates and to provide quantitative estimations of the viscoelastic properties of cancerous and normal tissues. Image processing techniques are introduced to compensate for attenuation and reflection artifacts of the CrW images. Preliminary results were obtained with fifteen prostate glands after radical prostatectomy. The glands were vibrated at 100, 120 and 140Hz. At each frequency, three cross-sections of the gland (apex, mid-gland and base) were imaged using CrW Sonoelastography and compared to corresponding histological slices. Results showed good spatial correspondence with histology and an 80% accuracy in cancer detection. In addition, shear velocities for cancerous and normal tissues were estimated as 4.75±0.97 m/s and 3.26±0.87 m/s, respectively.

KW - Crawling wave sonoelastography

KW - Elasticity imaging

KW - Image processing

KW - Prostate cancer detection

KW - Tissue characterization

UR - https://www.scopus.com/pages/publications/67149084832

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DO - 10.1117/12.811720

M3 - Conference contribution

AN - SCOPUS:67149084832

SN - 9780819475169

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

BT - Medical Imaging 2009

T2 - Medical Imaging 2009: Ultrasonic Imaging and Signal Processing

Y2 - 8 February 2009 through 9 February 2009

ER -

Prostate cancer detection using crawling wave sonoelastography

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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