Temporal segmentation of lung region from MRI sequences using multiple active contours
| Autor: | Toshiyuki Gotoh, Renato Seiji Tavares, Jose Miguel Manzanares Chirinos, Leonardo I. Abe, Seiichiro Kagei, Marcos de Sales Guerra Tsuzuki, Tae Iwasawa |
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| Rok vydání: | 2012 |
| Předmět: |
Motion compensation
Image quality business.industry Respiration ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Point cloud Boundary (topology) Image registration Pattern recognition Image segmentation Magnetic Resonance Imaging Hough transform law.invention law Image Processing Computer-Assisted Humans Segmentation Computer vision Artificial intelligence business Lung Algorithms Mathematics |
| Zdroj: | EMBC |
| ISSN: | 2694-0604 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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