LNCS 2717 – Evaluation of Intensity-Based 2D-3D Spine Image Registration Using Clinical Gold-Standard Data 1st Edition by Daniel B. Russakoff, Torsten Rohlfing, Anthony Ho, Daniel H. Kim, Ramin Shahidi, John R. Adler, Calvin R. Maurer – Ebook PDF Instant Download/Delivery. 3540397019, 9783540397014
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Product details:
ISBN 10: 3540397019
ISBN 13: 9783540397014
Author: Daniel B. Russakoff, Torsten Rohlfing, Anthony Ho, Daniel H. Kim, Ramin Shahidi, John R. Adler, Calvin R. Maurer
LNCS 2717 – Evaluation of Intensity-Based 2D-3D Spine Image Registration Using Clinical Gold-Standard Data 1st Edition: In this paper, we evaluate the accuracy and robustness of intensity-based 2D-3D registration for six image similarity measures using clinical gold-standard spine image data from four patients. The gold-standard transformations are obtained using four bone-implanted fiducial markers. The three best similarity measures are mutual information, cross correlation, and gradient correlation. The mean target registration errors for these three measures range from 1.3 to 1.5 mm. We believe this is the first reported evaluation using clinical gold-standard data.
LNCS 2717 – Evaluation of Intensity-Based 2D-3D Spine Image Registration Using Clinical Gold-Standard Data 1st Edition Table of contents:
1 Introduction
2 Gold-Standard Clinical Spine Image Data
2.1 Assessment of Registration Accuracy and Robustness
3 2D-3D Image Registration Algorithm
3.1 Reference image
3.2 Floating image
3.3 Image similarity measures
3.4 Optimization strategy
4 Results
5 Discussion
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