A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Physics-Based Deformable Models: Applications to Computer Vision, Graphics, and Medical Imaging
Physics-Based Deformable Models: Applications to Computer Vision, Graphics, and Medical Imaging
Recognition, Resolution, and Complexity of Objects Subject to Affine Transformations
International Journal of Computer Vision
Detection of Pulmonary Nodules on Ct and Volumetric Assessment of Change over Time
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic 3D Registration of Lung Surfaces in Computed Tomography Scans
Automatic 3D Registration of Lung Surfaces in Computed Tomography Scans
Toward patient identification using chest CT scan
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Automatic lung nodule matching on sequential CT images
Computers in Biology and Medicine
Computers in Biology and Medicine
Analysis of Alzheimer's disease progression in structural magnetic resonance images
WSEAS Transactions on Computers
3D model-based approach to lung registration and prediction of respiratory cardiac motion
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Ray-Tracing based registration for HRCT images of the lungs
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Automatic global matching of temporal chest MDCT scans for computer-aided diagnosis
AsiaSim'04 Proceedings of the Third Asian simulation conference on Systems Modeling and Simulation: theory and applications
Image registration and atlas-based segmentation of cardiac outflow velocity profiles
Computer Methods and Programs in Biomedicine
Computers in Biology and Medicine
| Hi-index | 0.00 |
We developed an automated system that registers chest CT images temporally. Our registration method matches corresponding anatomical landmarks to obtain initial registration parameters. The initial point-to-point registration is then generalized to an iterative surface-to-surface registration method. Our "goodness-of-fit" measure is evaluated at each step in the iterative scheme until the registration performance is sufficient. We applied our method to register the 3D lung surfaces of 10 pairs of chest CT scans and report a promising registration performance.