Deformable 2D-3D registration of the pelvis with a limited field of view, using shape statistics

Authors:
Ofri Sadowsky;Gouthami Chintalapani;Russell H. Taylor
Affiliations:
Department of Computer Science, Johns Hopkins University;Department of Computer Science, Johns Hopkins University;Department of Computer Science, Johns Hopkins University
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Year:
2007

Citing 8
Cited 2

Active shape models—their training and application

Computer Vision and Image Understanding
Nonrigid 3-D/2-D Registration of Images Using Statistical Models

MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
A statistical bone density atlas and deformable medical image registration

A statistical bone density atlas and deformable medical image registration
Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Projected Tetrahedra Revisited: A Barycentric Formulation Applied to Digital Radiograph Reconstruction Using Higher-Order Attenuation Functions

IEEE Transactions on Visualization and Computer Graphics
Statistical atlases of bone anatomy: construction, iterative improvement and validation

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and point distribution model

MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Image quality assessment: from error visibility to structural similarity

IEEE Transactions on Image Processing

An iterative framework for improving the accuracy of intraoperative intensity-based 2D/3D registration for image-guided orthopedic surgery

IPCAI'10 Proceedings of the First international conference on Information processing in computer-assisted interventions
Personalized X-ray reconstruction of the proximal femur via intensity-based non-rigid 2D-3D registration

MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

Our paper summarizes experiments for measuring the accuracy of deformable 2D-3D registration between sets of simulated x-ray images (DRR's) and a statistical shape model of the pelvis bones, which includes x-ray attenuation information ("density"). In many surgical scenarios, the images contain a truncated view of the pelvis anatomy. Our work specifically addresses this problem by examining different selections of truncated views as target images. Our atlas is derived by applying principal component analysis to a population of up to 110 instance shapes. The experiments measure the registration error with a large and truncated FOV. A typical accuracy of about 2 mm is achieved in the 2D- 3D registration, compared with about 1.4 mm of an "optimal" 3D-3D registration.