A preliminary study on a statistical deformation model for reconstructing respiratory displacement

Abstract

This paper introduces a preliminary study on constructing a multi-organ statistical deformation model that can reconstruct respiratory displacements including shapedifferences between patients. For statistical modeling, we use multi-organ surface data that have been manually extracted from 4D-CT data measured during radiation therapy. Patient-specific organ models with the same number of vertices and topological structure are automatically generated using Affine transform and discrete Laplacian shape editing. We confirmed that shape registration could be achieved within 1mm Hausdorff distance error and mean respiratory motion of five organs could be represented.