Measurement of thermally ablated lesions in sonoelastographic images using level set methods

Benjamin Castaneda, Jose Gerardo Tamez-Pena, Man Zhang, Kenneth Hoyt, Kevin Bylund, Jared Christensen, Wael Saad, John Strang, Deborah J. Rubens, Kevin J. Parker

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

4 Scopus citations


The capability of sonoelastography to detect lesions based on elasticity contrast can be applied to monitor the creation of thermally ablated lesion. Currently, segmentation of lesions depicted in sonoelastographic images is performed manually which can be a time consuming process and prone to significant intra- and inter-observer variability. This work presents a semi-automated segmentation algorithm for sonoelastographic data. The user starts by planting a seed in the perceived center of the lesion. Fast marching methods use this information to create an initial estimate of the lesion. Subsequently, level set methods refine its final shape by attaching the segmented contour to edges in the image while maintaining smoothness. The algorithm is applied to in vivo sonoelastographic images from twenty five thermal ablated lesions created in porcine livers. The estimated area is compared to results from manual segmentation and gross pathology images. Results show that the algorithm outperforms manual segmentation in accuracy, inter- and intra-observer variability. The processing time per image is significantly reduced.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2008
Subtitle of host publicationUltrasonic Imaging and Signal Processing
StatePublished - 2008
EventMedical Imaging 2008: Ultrasonic Imaging and Signal Processing - San Diego, CA, United States
Duration: Feb 17 2008Feb 18 2008

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


OtherMedical Imaging 2008: Ultrasonic Imaging and Signal Processing
Country/TerritoryUnited States
CitySan Diego, CA


  • Elasticity
  • Fast marching methods
  • Image processing
  • Level set methods
  • Mumford-Shah functional
  • Region growing
  • Segmentation
  • Sonoelastography

ASJC Scopus subject areas

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


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