Knowledge-based matching for 3D radiotherapy planning

摘要

Develops a system that performs segmentation and recognition of major organs in CT images of human abdomen for 3D organ reconstruction used in radiotherapy. A knowledge-based system has been developed that features the use of constraint-based dynamic thresholding, negative-shape constraints to rapidly rule out infeasible segmentations, and progressive landmarking that takes advantage of the different degrees of certainty of unsuccessful identification of each organ. The results of the experiments indicate that the knowledge-based approach is promising.