DocumentCode
624529
Title
Automatic surface reconstruction for endoscopy-MR image fusion in image guided procedures
Author
Abdalbari, A. ; Xishi Huang ; Jing Ren
Author_Institution
Fac. of Eng. & Appl. Sci., Univ. of Ontario, Oshawa, ON, Canada
fYear
2013
fDate
5-8 May 2013
Firstpage
1
Lastpage
4
Abstract
Endoscope based minimally invasive abdominal procedures provide potential advantages over conventional open surgery such as reduced trauma, shorter hospital stay, and quick recovery. One of the major limitations of the use of this technique is the small area that the endoscope covers resulting in the lack of proper 3D context of the surgical site. We propose a rapid and accurate approach to reconstruct the surface from intra-operative stereo endoscopic images of the surgical site which is projected with gridline light patterns. The reconstructed surface is then registered with the surface extracted from pre-operative MR images for fusion of endoscopic and MR images to guide these surgical procedures. We validate our proposed method on a liver phantom and achieve the surface registration error of 0.76 ± 0.11 mm.
Keywords
biomedical MRI; endoscopes; error statistics; feature extraction; image fusion; image reconstruction; image registration; liver; medical image processing; stereo image processing; surgery; automatic surface reconstruction; endoscope based minimally invasive abdominal procedure; endoscopy-MR image fusion; gridline light pattern; hospital stay; image guided procedure; intra-operative stereo endoscopic image; liver phantom; open surgery; preoperative MR image; reduced trauma; surface extraction; surface registration error; surgical procedure; surgical site; Endoscopes; Image reconstruction; Liver; Stereo image processing; Surface reconstruction; Surface treatment; Surgery; Surface reconstruction; image fusion; image guidance; light pattern; stereo endoscope;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
Conference_Location
Regina, SK
ISSN
0840-7789
Print_ISBN
978-1-4799-0031-2
Electronic_ISBN
0840-7789
Type
conf
DOI
10.1109/CCECE.2013.6567825
Filename
6567825
Link To Document