Prostate cancer detection based on three dimensional sonoelastography

B. Castaneda, K. Hoyt, M. Zhang, D. Pasternack, L. Baxter, P. Nigwekar, A. Di Sant'Agnese, J. Joseph, J. Strang, D. J. Rubens, K. J. Parker

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

12 Scopus citations


In this paper, we evaluate the performance of sonoelastography for prostate cancer detection. Ultrasound (US) B-mode and sonoelastographic volumes were acquired from five prostate glands ex vivo. Additionally, one more gland was imaged in vivo using a transrectal US probe. Semi-automatic algorithms were used to segment the surface of the gland from the B-mode volume and the tumors from sonoelastographic data. To assess the detection performance, three dimensional (3D) sonoelastographic findings were compared in size and position to 3D histological data. Sonoelastography detected seven out of nine cancers in the ex vivo prostate glands and two out of three malignant masses in the in vivo experiment. Overall, 3D sonoelastography has shown potential for prostate cancer detection albeit based on limited data.

Original languageEnglish (US)
Title of host publication2007 IEEE Ultrasonics Symposium Proceedings, IUS
Number of pages4
StatePublished - 2007
Event2007 IEEE Ultrasonics Symposium, IUS - New York, NY, United States
Duration: Oct 28 2007Oct 31 2007

Publication series

NameProceedings - IEEE Ultrasonics Symposium
ISSN (Print)1051-0117


Other2007 IEEE Ultrasonics Symposium, IUS
Country/TerritoryUnited States
CityNew York, NY


  • Elasticity imaging
  • Prostate cancer detection
  • Three-dimensional sonoelastography

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


Dive into the research topics of 'Prostate cancer detection based on three dimensional sonoelastography'. Together they form a unique fingerprint.

Cite this