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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

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 languageEnglish (US)
Title of host publicationMedical Imaging 2009
Subtitle of host publicationUltrasonic Imaging and Signal Processing
Volume7265
DOIs
StatePublished - Jun 19 2009
EventMedical Imaging 2009: Ultrasonic Imaging and Signal Processing - Lake Buena Vista, FL, United States
Duration: Feb 8 2009Feb 9 2009

Other

OtherMedical Imaging 2009: Ultrasonic Imaging and Signal Processing
CountryUnited States
CityLake Buena Vista, FL
Period2/8/092/9/09

Fingerprint

Elasticity Imaging Techniques
glands
Prostatic Neoplasms
cancer
Tissue
Prostate
prostate gland
Histology
histology
Elastic Modulus
Shear waves
Prostatectomy
Vibration
imaging techniques
Artifacts
S waves
image processing
artifacts
Elasticity
Neoplasms

Keywords

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

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Castaneda, B., An, L., Wu, S., Baxter, L. L., L. Yao, J., V. Joseph, J., ... Parker, K. J. (2009). Prostate cancer detection using crawling wave sonoelastography. In Medical Imaging 2009: Ultrasonic Imaging and Signal Processing (Vol. 7265). [726513] https://doi.org/10.1117/12.811720

Prostate cancer detection using crawling wave sonoelastography. / Castaneda, Benjamin; An, Liwei; Wu, Shuang; Baxter, Laurie L.; L. Yao, Jorge; V. Joseph, Jean; Hoyt, Kenneth; Strang, John; J. Rubens, Deborah; Parker, Kevin J.

Medical Imaging 2009: Ultrasonic Imaging and Signal Processing. Vol. 7265 2009. 726513.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. vol. 7265, 726513, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, Lake Buena Vista, FL, United States, 2/8/09. https://doi.org/10.1117/12.811720
Castaneda B, An L, Wu S, Baxter LL, L. Yao J, V. Joseph J et al. Prostate cancer detection using crawling wave sonoelastography. In Medical Imaging 2009: Ultrasonic Imaging and Signal Processing. Vol. 7265. 2009. 726513 https://doi.org/10.1117/12.811720
Castaneda, Benjamin ; An, Liwei ; Wu, Shuang ; Baxter, Laurie L. ; L. Yao, Jorge ; V. Joseph, Jean ; Hoyt, Kenneth ; Strang, John ; J. Rubens, Deborah ; Parker, Kevin J. / Prostate cancer detection using crawling wave sonoelastography. Medical Imaging 2009: Ultrasonic Imaging and Signal Processing. Vol. 7265 2009.
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