Active shape models—their training and application
Computer Vision and Image Understanding
Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Non-rigid Registration of Breast MR Images Using Mutual Information
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
Bilinear Models for Spatio-Temporal Point Distribution Analysis
International Journal of Computer Vision
Measuring and modeling soft tissue deformation for image guided interventions
IS4TM'03 Proceedings of the 2003 international conference on Surgery simulation and soft tissue modeling
New 4-d imaging for real-time intraoperative MRI: adaptive 4-d scan
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Hi-index | 0.00 |
This paper presents a statistical model of the respiratory motion and deformation of the liver. Individual models were made for seven volunteers using a series of MR images taken throughout the breathing cycle. One image was selected as a template and the others were registered to this using an intensity-based non-rigid registration algorithm. The resulting free-form transformations allowed us to map landmarks defined on the template image into their correct positions throughout the breathing cycle. Principal component analysis of these landmarks was used to produce a statistical model of motion and deformation. Results showing typical motion and deformation for a single volunteer are presented.