2D/3D deformable registration using a hybrid atlas

Authors:
Thomas S. Y. Tang;Randy E. Ellis
Affiliations:
School of Computing, Queen's University, Kingston, Canada;School of Computing, Queen's University, Kingston, Canada
Venue:
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Year:
2005

Citing 2
Cited 4

Active shape models—their training and application

Computer Vision and Image Understanding
A statistical bone density atlas and deformable medical image registration

A statistical bone density atlas and deformable medical image registration

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

MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
Monocular deformable model-to-image registration of vascular structures

WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
Registration of a statistical shape model of the lumbar spine to 3D ultrasound images

MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Stochastic 3d motion compensation of coronary arteries from monoplane angiograms

MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

Statistical atlases built by point distribution models (PDMs) using a novel hybrid 3D shape model were used for surface reconstruction. The hybrid shape model removes the need for global scaling in aligning training examples and instance generation, thereby allowing the PDM to capture a wider range of variations. The atlases can be used to reconstruct, or deformably register, the surface model of an object from just two to four 2D x-ray projections of the object. The methods was tested using proximal and distal femurs. Results of simulated projections and fluoroscopic images of cadaver knees show that the new instances can be registered with an accuracy of about 2 mm.