Automated global matching of temporal thoracic helical CT studies: feasibility study

Abstract In this paper, we demonstrate the feasibility of a computer-aided diagnosis (CAD) method that automatically matches slices from temporal thoracic helical computed tomography (CT) studies. The proposed method uses three-dimensional (3D) anatomical information but does not require anatomical landmark identification or organ segmentation. Information from coronal maximum intensity projection (MIP) images is utilized in the registration process. The registration method was assessed using 10 pairs of sequential lung CT studies.