Research >> Medical deformable
Medical/deformable
We are working toward extending the
Dual-Bootstrap to deformable registration,
especially for longitudinal
change detection in lung CT volumes. We had some very
preliminary
work in this area reported at MICCAI 2004, but have recently obtained
funding to restart. Our initial goal is understanding the theoretical
underpinnings of
the Dual-Bootstrap algorithm as the basis for
generalization.
Faculty: Charles Stewart 
Current students: Michal Sofka 
Former students: Bess Lee, Charlene Tsai 
Publications:
Charles V. Stewart, Ying-Lin Lee, Chia-Ling Tsai: An Uncertainty-Driven Hybrid of Intensity-Based and Feature-Based Registration with Application to Retinal and Lung CT Images. Proceedings of the 7th International Conference of Medical Image Computing and Computer-Assisted Intervention (MICCAI) , vol. 1, pp. 870-877, 2004. [ bib ] [ pdf ]
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