公开(公告)号：CA2186135A1

公开(公告)日：1995-10-12

申请号：CA2186135

申请日：1995-03-30

Applicant: ARCH DEV CORP

Inventor： GIGER MARYELLEN L ,  BAE KYONGATE TY ,  DOI KUNIO

IPC: A61B6/03 ,  G06T1/00 ,  G06T7/00

Abstract: A method and system for the automated detection of lesions in computed tomographic images, including generating image data from at least one selected portion of an object, for example, from CT images of the thorax. The image data are then analyzed in order to produce the boundary of the thorax. The image data within the thoracic boundary is then further analyzed to produce boundaries of the lung regions using predetermined criteria. Features within the lung regions are then extracted using multi-gray-level thresholding and correlation between resulting multi-level threshold images and between at least adjacent sections. Classification of the features as abnormal lesions or normal anatomic features is then performed using geometric features yielding a likelihood of being an abnormal lesion along with its location in either the 2-D image section or in the 3-D space of the object.