Intraoperative 3D shape recovery of abdominal organs for laparoscopic data fusion

Mitsuhiro Hayashibe, Naoki Suzuki, Yoshihiko Nakamura, Asaki Hatori, Shigeyuki Suzuki

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

3 Citations (Scopus)

Abstract

Precise measurements of geometry should accompany robotic equipments in operating rooms if their advantages are further pursued. For deforming organs including the liver, intraoperative geometric measurements play an essential role in computer surgery in addition to pre-operative geometric information from CT/MRI. The laser-scan endoscope system acquires and visualizes the shape of the area of interest in a flash of time. Results of in-vivo experiments on the liver of a pig verify the effectiveness of the proposed system. In the next stage, we aim to make a data-fusion in laparoscopy.

Original languageEnglish
Title of host publicationMedicine Meets Virtual Reality 02/10 - Digital Upgrades
Subtitle of host publicationApplying Moore's Law to Health
PublisherIOS Press
Pages188-194
Number of pages7
ISBN (Print)1586032038, 9781586032036
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event10th Annual Medicine Meets Virtual Reality Conference, MMVR 2002 - Newport Beach, CA, United States
Duration: 2002 Jan 232002 Jan 26

Publication series

NameStudies in Health Technology and Informatics
Volume85
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference10th Annual Medicine Meets Virtual Reality Conference, MMVR 2002
CountryUnited States
CityNewport Beach, CA
Period02/1/2302/1/26

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Hayashibe, M., Suzuki, N., Nakamura, Y., Hatori, A., & Suzuki, S. (2002). Intraoperative 3D shape recovery of abdominal organs for laparoscopic data fusion. In Medicine Meets Virtual Reality 02/10 - Digital Upgrades: Applying Moore's Law to Health (pp. 188-194). (Studies in Health Technology and Informatics; Vol. 85). IOS Press. https://doi.org/10.3233/978-1-60750-929-5-188