Paper
13 March 2009 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
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Benjamin Castaneda, Liwei An, Shuang Wu, Laurie L. Baxter, Jorge L. Yao, Jean V. Joseph, Kenneth Hoyt, John Strang, Deborah J. Rubens, and Kevin J. Parker "Prostate cancer detection using crawling wave sonoelastography", Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 726513 (13 March 2009); https://doi.org/10.1117/12.811720
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Cited by 21 scholarly publications.
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KEYWORDS
Tissues

Cancer

Prostate

Prostate cancer

Image processing

Signal to noise ratio

Image filtering

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