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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