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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Respiration Motion State Estimation on 4D CT Rib Cage Images
verfasst von : Chao Xie, Wengang Zhou, Weiping Ding, Houqiang Li, Weiping Li
Erschienen in: MultiMedia Modeling
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Abstract
Respiration motion state is an important indicator for disease diagnose in clinical practice. In this paper, we approach this problem with 4D CT rib cage images and target on identifying the end-inhalation and end-exhalation phrases. Observing that the motion of rib bones well reflect the respiration motion state, we transform this problem into a rib bone segmentation problem. Firstly, we propose a novel steerable filter enhanced level set method for rib bone segmentation. We formulate the level set segmentation problem as a variational optimization problem. To address the blurry edge issue, we enhance the image with the classic steerable filter. After that, by comparing the positions of rib bones in sequential frames, we present an criterion to determine the end-expiration and end-inspiration phrases. We validate our approach with real 4D CT rib cage images and demonstrate the effectiveness of our approach.