Tissue-specific transformation model for CT-images

• Main Authors: Bartelheimer Kathrin, Teske Hendrik, Bendl Rolf, Giske Kristina
• Format: Article
• Language: English
• Published: De Gruyter 2017-09-01
• Series: Current Directions in Biomedical Engineering
• Subjects: soft tissue deformation; volume changing deformations; transformation mode; chainmail algorithm
• Online Access: https://doi.org/10.1515/cdbme-2017-0111

During radiotherapy, posture changes and volume changing deformations like growing or shrinking tissue result in anatomical deformations. The basis for investigating the impact of such deformations on dose uncertainties, are model-based tools for deformation analysis. In this context, we propose a transformation model based on the information of CT-images, which allows an on-the-fly calculation of voxel volumes. Our model is based on the concept of the chainmail algorithm and describes deformation on voxel-level. With an exemplary input of a set of landmark pairs, generated by a kinematic head-and-neck skeleton model, CT-images (512x512x126 voxel) can be deformed with an on-the-fly volume calculation in less than 70s. The volume calculation delivers insight into model-characteristic volume changes and is a prerequisite for implementing tissue growth and shrinkage.