A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead
IEEE Transactions on Pattern Analysis and Machine Intelligence
CAD System for the Assistance of Comparative Reading for Lung Cancer Using Serial Helical CT Images
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic 3D Registration of Lung Surfaces in Computed Tomography Scans
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
An Overview of Medical Image Registration
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
Automatic lung nodule matching on sequential CT images
Computers in Biology and Medicine
Computers in Biology and Medicine
Correction of lung boundary using the gradient and intensity distribution
Computers in Biology and Medicine
IEEE Transactions on Image Processing
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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%.