Automatic 3D Registration of Lung Surfaces in Computed Tomography
Scans 

Margrit Betke and Harrison Hong
Computer Science Department, Boston University, Boston, MA 02215, USA

Jane P. Ko
Department of Radiology, New York University Medical School, New York,
NY 10016, USA


We developed an automated system that registers chest CT images
temporally. Our registration method matches corresponding anatomical
landmarks to obtain 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-tosurface 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.