document: Lung metastasis detection and visualization on CT images : a knowledge-based method A solution to the problem of lung metastasis detection on computed tomography -LRB- CT -RRB- scans of the thorax is presented . A knowledge-based top-down approach for image interpretation is used . The method is inspired by the manner in which a radiologist and radiotherapist interpret CT images before radiotherapy is planned . A two-dimensional followed by a three-dimensional analysis is performed . The algorithm first detects the thorax contour , the lungs and the ribs , which further help the detection of metastases . Thus , two types of tumors are detected : nodules and metastases located at the lung extremities . A method to visualize the anatomical structures segmented is also presented . The system was tested on 20 patients -LRB- 988 total images -RRB- from the Oncology Department of La Chaux-de-Fonds Hospital and the results show that the method is reliable as a computer-aided diagnostic tool for clinical purpose in an oncology department
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