Ultrasound bone segmentation using dynamic programming

Pezhman Foroughi, Emad Boctor, Michael J. Swartz, Russell H. Taylor, Gabor Fichtinger

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


Segmentation of bone surface in ultrasound images has numerous applications in computer aided orthopedic surgery. A robust bone surface extraction technique for ultrasound images can be used to non-invasively probe the bone surface. In this work, we present early results with an intuitive and computationally inexpensive bone segmentation approach. The prior knowledge about the appearance of bone in ultrasound images is exploited toward achieving robust and fast bone segmentation. Continuity and smoothness of the bone surface are incorporated in a cost function, which is globally minimized using dynamic programming. The performance of this method is evaluated on ultrasound images collected from two male cadavers. The images are segmented in about half a second making the algorithm suitable for real-time applications. Comparison between manual and automatic segmentation shows an average accuracy of less than 3 pixels (0.3 mm).

Original languageEnglish (US)
Title of host publication2007 IEEE Ultrasonics Symposium Proceedings, IUS
Number of pages4
StatePublished - Dec 1 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
CountryUnited States
CityNew York, NY

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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    Foroughi, P., Boctor, E., Swartz, M. J., Taylor, R. H., & Fichtinger, G. (2007). Ultrasound bone segmentation using dynamic programming. In 2007 IEEE Ultrasonics Symposium Proceedings, IUS (pp. 2523-2526). [4410208] (Proceedings - IEEE Ultrasonics Symposium). https://doi.org/10.1109/ULTSYM.2007.635