Article ID Journal Published Year Pages File Type
505039 Computers in Biology and Medicine 2014 11 Pages PDF
Abstract

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%.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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