Application of Digital Minimally Invasive Medicine and Visual Simulation in Surgery

DOI

10.2991/meici-17.2017.173How to use a DOI?

Keywords

Digital medicine; Simulation surgery; Image segmentation; 3D reconstruction; Surgery

Abstract

Surgery has into the new minimally invasive surgery era, minimally invasive surgery more dependent on all kinds of advanced technology and equipment applications, and the traditional operating room in the design is difficult to meet the minimally invasive surgery to carry out, so the development of minimally invasive surgery the operating room is particularly important. Combined with the hospital minimally invasive operating room design examples, proposed a new era of minimally invasive surgery need to pay attention to the issue, put forward the development and construction of digital surgery application advantages and future development[1]. Three - dimensional reconstruction technique based on helical CT abdominal organ scan data and clinical application of visual simulation in surgery. Visual simulation of Free Form Modeling System and PHANTOM software. The three-dimensional reconstruction technique and visual simulation operation of digital medicine can be applied to the clinical practice, and it has great application value in the aspects of individualized surgical procedure, risk assessment, clinical teaching and surgical training.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaolu Zhang
AU  - Meihong Du
AU  - Jiangang Zhang
AU  - Hongjie Li
PY  - 2017/10
DA  - 2017/10
TI  - Application of Digital Minimally Invasive Medicine and Visual Simulation in Surgery
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 873
EP  - 876
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.173
DO  - 10.2991/meici-17.2017.173
ID  - Zhang2017/10
ER  -