Automatic Extraction of Proximal Femur Contours from Calibrated X-Ray Images Using 3D Statistical Models

Authors:
Xiao Dong;Guoyan Zheng
Affiliations:
MEM Research Center, University of Bern, Switzerland CH-3014;MEM Research Center, University of Bern, Switzerland CH-3014
Venue:
MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
Year:
2008

Citing 11
Cited 0

Active Shape Model-Based Segmentation of Digital X-ray Images

MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Finding Deformable Shapes Using Loopy Belief Propagation

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
A Bayesian Network Framework for Relational Shape Matching

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Tracking Articulated Body by Dynamic Markov Network

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Image Segmentation by Shape Particle Filtering

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Surface Reconstruction of Bone from X-ray Images and Point Distribution Model Incorporating a Novel Method for 2D-3D Correspondence

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Atlas-based 3D-Shape Reconstruction from X-Ray Images

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
2D/3D deformable registration using a hybrid atlas

MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Fully automatic determination of morphological parameters of proximal femur from calibrated fluoroscopic images through particle filtering

ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Use of a dense surface point distribution model in a three-stage anatomical shape reconstruction from sparse information for computer assisted orthopaedic surgery: a preliminary study

ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Automatic extraction of femur contours from hip x-ray images

CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Automatic identification and extraction of bone contours from x-ray images is the first essential task for further medical image analysis. In this paper we propose a 3D statistical model based framework for the proximal femur contour extraction from calibrated x-ray images. The initialization is solved by an Estimation of Bayesian Network Algorithmto fit a multiple component geometrical model to the x-ray data. The contour extraction is accomplished by a non-rigid 2D/3D registration between a 3D statistical model and the x-ray images, in which bone contours are extracted by a graphical model based Bayesian inference. Our experimental results demonstrate its performance and efficacy even when part of the images are occluded.