A study of region extraction and system model on an observation system of time-sequenced 3-D CT images

Abstract

For an observation system assisted for diagnosis of 3-D CT images consisting of time-sequenced multi slice tomograms, the refinement method to obtain the more precise region detection on which noise areas are reduced is proposed. The experimental results show that noise areas are reduced effectively. And also the system model refined by code refactoring is also proposed to be able to make the system having flexibility, also for that the proposed method is implemented.