Pulmonary nodule registration in serial CT scans using global rib matching and nodule template matching.
We propose an automatic nodule registration method between baseline and follow-up chest CT scans. Initial alignment using the center of the lung volume corrects the gross translational mismatch, and rigid registration using coronal and sagittal maximum intensity projection images effectively refines the rigid motion of the lungs. Nodule correspondences are established by finding the most similar region in terms of density as well as the geometrical constraint. The proposed nodule registration method increased the nodule hit rate (the ratio of the number of successfully matched nodules to total nodule number) from 26% to 100%.
Department of Multimedia Engineering, College of Information and Media, Seoul Women's University, 126 Gongreung-dong, Nowon-gu, Seoul 139-774, Republic of Korea. Electronic address: hhjo@swu.ac.kr.
Hyun Hee
HH
Jo
Department of Multimedia Engineering, College of Information and Media, Seoul Women's University, 126 Gongreung-dong, Nowon-gu, Seoul 139-774, Republic of Korea. Electronic address: hlhong@swu.ac.kr.
Helen
H
Hong
Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, Seoul 110-744, Republic of Korea. Electronic address: jmgoo@plaza.snu.ac.kr.
Jin Mo
JM
Goo
D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging / Q000473:pathology; D010363:Pattern Recognition, Automated / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D012272:Ribs / Q000000981:diagnostic imaging*; D003074:Solitary Pulmonary Nodule / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000379:methods*
Computed tomography; Follow-up CT study; Geometrical constraint using log-polar image; Nodule template matching; Pulmonary nodule registration; Rib matching