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10 March 2006Automatic lung nodule matching for the follow-up in temporal chest CT scans
We propose a fast and robust registration method for matching lung nodules of temporal chest CT scans. Our method is
composed of four stages. First, the lungs are extracted from chest CT scans by the automatic segmentation method.
Second, the gross translational mismatch is corrected by the optimal cube registration. This initial registration does not
require extracting any anatomical landmarks. Third, initial alignment is step by step refined by the iterative surface
registration. To evaluate the distance measure between surface boundary points, a 3D distance map is generated by the
narrow-band distance propagation, which drives fast and robust convergence to the optimal location. Fourth, nodule
correspondences are established by the pairs with the smallest Euclidean distances. The results of pulmonary nodule
alignment of twenty patients are reported on a per-center-of mass point basis using the average Euclidean distance
(AED) error between corresponding nodules of initial and follow-up scans. The average AED error of twenty patients is
significantly reduced to 4.7mm from 30.0mm by our registration. Experimental results show that our registration
method aligns the lung nodules much faster than the conventional ones using a distance measure. Accurate and fast
result of our method would be more useful for the radiologist's evaluation of pulmonary nodules on chest CT scans.
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Helen Hong, Jeongjin Lee, Yeong Gil Shin, "Automatic lung nodule matching for the follow-up in temporal chest CT scans," Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61442T (10 March 2006); https://doi.org/10.1117/12.653359