Localization of abnormality using finite element modeling of prostate glands with robotic system: A preliminary study

Hyosang Lee, Yeongjin Kim, Yong Kyun Shin, Bummo Ahn, Koonho Rha, Jung Kim

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

Abstract

Combined with medical robotic system, mechanical property characterization of the prostate could enhance the diagnosis and localization of prostate cancer. However, despite the importance of localization, complex geometry and boundary conditions of the prostate make localization difficult. This paper proposes a method for localizing abnormality using finite element modeling of the prostate glands. Ex-vivo experiment was performed to resected human prostate tissue for six regions of the prostate using robotic system which was previously designed to induce sweeping palpation. For each region, three dimensional prostate computational models from the CT image segmentation were developed for mechanical property characterization and local property criteria construction. The measured force responses were applied to the prostate model fittings and mechanical property of ex-vivo experiments were estimated. By using comparative study with local property criteria from the prior indentation study, suspicious regions were localized. The results showed that the suspicious regions were discriminated and the sensitivity was 66.7%.

Original languageEnglish
Title of host publication2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
Pages889-893
Number of pages5
DOIs
Publication statusPublished - 2012 Oct 18
Event2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012 - Rome, Italy
Duration: 2012 Jun 242012 Jun 27

Publication series

NameProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
ISSN (Print)2155-1774

Other

Other2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
CountryItaly
CityRome
Period12/6/2412/6/27

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Biomedical Engineering
  • Mechanical Engineering

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  • Cite this

    Lee, H., Kim, Y., Shin, Y. K., Ahn, B., Rha, K., & Kim, J. (2012). Localization of abnormality using finite element modeling of prostate glands with robotic system: A preliminary study. In 2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012 (pp. 889-893). [6290915] (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics). https://doi.org/10.1109/BioRob.2012.6290915