Paper Info
Title
Exploiting 2-D to 3-D Intra-operative Image Registration for Qualitative Evaluations and Post-operative Simulations
Abstract
This paper addresses a key issue of providing clinicians with visual information to validate the accuracy of 2D/3D registration for robot-assisted total hip replacement (THR) surgery. In practice, clinicians rely on post-operative X-rays to assess the accuracy of implant placement. Motivated by this, we simulate a set of post-operative X-ray images by superimposing the implant positioned pre-operatively onto the intra-operatively collected and calibrated images of the femur, through a transformation computed by the 2D/3D registration. With these images, a judgment on the registration accuracy can be made. In addition, this paper introduces methods for superimposing pre-operative data on intra-operative X-ray images that were not corrected for distortion, by applying the same image distortion to the data. This paper also introduces a new framework for incorporating surface normals in the objective function for registration. A comparison between marker-based and image-based registration is conducted.
Year
DOI
Venue
1999
10.1007/10704282_89
MICCAI
Keywords
Field
DocType
x-ray fluoroscopy,robodoc r,anatomy- and image-based registration,3-d intra-operative image registration,post-operative simulations,ct,simulation of post-operative x-ray images,total hip replacement surgery,qualitative evaluations,image registration,objective function
Computer vision,Pattern recognition,Computer science,Qualitative Evaluations,Artificial intelligence,Total hip replacement surgery,Distortion,Image registration
Conference
Volume
ISSN
ISBN
1679
0302-9743
3-540-66503-X
Citations 
PageRank 
References 
1
0.38
11
Authors
6
Name
Order
Citations
PageRank
André Guéziec173396.14
K Wu21078.62
B Williamson315345.46
Peter Kazanzides458496.63
R Van Vorhis5364.73
A Kalvin6334.23