TY - GEN
T1 - Localization of abnormality using finite element modeling of prostate glands with robotic system
T2 - 2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
AU - Lee, Hyosang
AU - Kim, Yeongjin
AU - Shin, Yong Kyun
AU - Ahn, Bummo
AU - Rha, Koonho
AU - Kim, Jung
PY - 2012
Y1 - 2012
N2 - 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%.
AB - 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%.
UR - http://www.scopus.com/inward/record.url?scp=84867421082&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867421082&partnerID=8YFLogxK
U2 - 10.1109/BioRob.2012.6290915
DO - 10.1109/BioRob.2012.6290915
M3 - Conference contribution
AN - SCOPUS:84867421082
SN - 9781457711992
T3 - Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
SP - 889
EP - 893
BT - 2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
Y2 - 24 June 2012 through 27 June 2012
ER -
