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Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model
Nice, France October 13-October 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCV.2003.1238644Ninth IEEE International Conference o ...
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Jianhua Yao, Russell Taylor, "Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model," Computer Vision, IEEE International Conference on, vol. 2, pp. 1329, Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 2, 2003.
 
 
BibTex
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@article{ 10.1109/ICCV.2003.1238644,
author = {Jianhua Yao and Russell Taylor},
title = {Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model},
journal ={Computer Vision, IEEE International Conference on},
volume = {2},
year = {2003},
isbn = {0-7695-1950-4},
pages = {1329},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICCV.2003.1238644},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision, IEEE International Conference on
TI - Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model
SN - 0-7695-1950-4
SP
EP
A1 - Jianhua Yao,
A1 - Russell Taylor,
PY - 2003
KW - deformable 2D-3D medical image registration
KW - accuracy assessment
KW - statistical model
VL - 2
JA - Computer Vision, IEEE International Conference on
ER -
 
Jianhua Yao, National Institute of Health
Russell Taylor, The Johns Hopkins University
Deformable 2D-3D medical image registration is an essential technique in Computer Integrated Surgery (CIS) to fuse 3D pre-operative data with 2D intra-operative data. Several factors may affect the accuracy of 2D-3D registration, including the number of 2D views, the angle between views, the view angle relative to anatomical objects, the co-registration error between views, the image noise, and the image distortion. In this paper, we investigate and assess the relationship between these factors and the accuracy of 2D-3D registration. We proposed a deformable 2D-3D registration method based on a statistical model. We conducted experiments using a hemi-pelvis model and simulated x-ray images. Some discussions are provided on how to improve the accuracy of 2D-3D registration based on our assessment.
Index Terms:
deformable 2D-3D medical image registration, accuracy assessment, statistical model
Citation:
Jianhua Yao, Russell Taylor, "Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model," iccv, vol. 2, pp.1329, Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 2, 2003
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