This paper presents a framework for automated extraction and recognition of thoracic organ regions from clinical-multi-slice chest CT images. This framework includes several image processing procedures used to recognize the different organ and tissue regions sequentially from the CT image. The density distribution and strength of connectivity of different organ regions have been investigated and used for the recognition process. We applied this framework to actual clinical chest CT images and showed preliminary results of the organ regions recognition.
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