DocumentCode
137724
Title
Surgical Structured Light for 3D minimally invasive surgical imaging
Author
Reiter, Austin ; Sigaras, Alexandros ; Fowler, D. ; Allen, Peter K.
Author_Institution
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
fYear
2014
fDate
14-18 Sept. 2014
Firstpage
1282
Lastpage
1287
Abstract
Surgeons perform minimally invasive surgery using an image delivered by a laparoscope and a camera system that provides a high definition 2D image, but this leaves the surgeon without 3D depth perception. The lack of depth perception can slow the surgeon, increase the risk of misidentifying structures, and/or inadvertently cause unwanted injury to tissues surrounding the surgical site. To address the lack of depth perception, we propose a Surgical Structured Light (SSL) system that includes a 3D sensor capable of measuring and modeling the surgical site during a procedure. The 3D information provided by this system can enable the surgeon to: 1) improve the navigation of tools based on precise localization of instruments in relation to structures in the surgical site, 2) allow 3D visualizations side-by-side with a standard 2D color image, and 3) precisely measure sizes of structures (e.g., tumors) and distances between structures with simple mouse clicks. We demonstrate the accuracy of our SSL system using ex-vivo data on both a cylinder calibration object as well as various plastic organs.
Keywords
biological organs; biological tissues; biomedical optical imaging; cameras; image colour analysis; image sensors; injuries; medical image processing; surgery; 3D depth perception; 3D minimally invasive surgical imaging; SSL 3D sensor; camera system; cylinder calibration object; ex-vivo data; high definition 2D color image; instrument localization; laparoscope; plastic organ; surgical site tissue unwanted injury; surgical structured light system; tissue structure misidentification; Cameras; Image reconstruction; Laparoscopes; Standards; Surgery; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
Conference_Location
Chicago, IL
Type
conf
DOI
10.1109/IROS.2014.6942722
Filename
6942722
Link To Document