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BACKGROUND Lung parenchyma segmentation is often performed as an important pre-processing step in the computer-aided diagnosis of lung nodules based on CT image sequences. However, existing lung parenchyma image segmentation methods cannot fully segment all lung parenchyma images and have a slow processing speed, particularly for images in the top and(More)
In this paper, three error compensation methods are devised to reduce the alignment errors induced by lever arm, body flexure, and measurement time delay respectively. A linear error model based on velocity and attitude is constructed for transfer alignment. Then, due to obviously different frequency distribution between disturbed acceleration produced by(More)
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