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Temporal segmentation of lung region from MRI sequences using multiple active contours

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7 Author(s)
Renato Seiji Tavares ; Computational Geometry Laboratory, Escola Politécnica, São Paulo University, Brazil ; José Miguel Manzanares Chirinos ; Leonardo Ishida Abe ; Toshiyuki Gotoh
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Segmentation of the lung is particularly difficult because of the large variation in image quality. A modified Hough transform in combination with a mask creation algorithm can robustly determine synchronous respiratory patterns. The synchronicity restriction is relaxed by applying a greedy active contour algorithm. The respiratory patterns define a point cloud near the lung region boundary representing a subjective contour. The gravitation vector field (GVF) active contour algorithm is used to create an initial segmentation exclusively based on the point cloud. A final active contours algorithm is executed to adjust the boundary to the images. The algorithm was tested with healthy subjects and COPD patients, and the result was checked through temporal registration of coronal and sagittal images.

Published in:

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Date of Conference:

Aug. 30 2011-Sept. 3 2011