By David S. Touretzky (Editor)
ISBN-10: 1558600159
ISBN-13: 9781558600157
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Extra resources for Advances in Neural Information Processing Systems 1
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35]. , bladder), cardiac movements. We propose a model to track several organs only with the information from image features without using any artifacts (markers). This model is based on geodesic active regions (GAR) [29, 30, 28] with some extensions over the classical model. A common problem with anatomical images is that the target organ is defined by multiple regions. This issue could appear if the organ was partially filled with a contrast fluid (contrasted CT) or if the organ is Tracking Organs Using Geodesic Active Region Models 39 composed of tissue and air (rectum).
Zeng R, Fessler J, Balter J (2005) Respiratory motion estimation from slowly rotating x-ray projection: Theory and simulation. Medical Physics 32(4):984–991 Human Hand Kinematic Modeling Based on Robotic Concepts for Digit Animation with Dynamic Constraints Bertrand Tondu1 Abstract The recent development of highly anthropomorphic avatars in computer graphics has emphasized the importance of accurate hand kinematic models. Although kinematic methods derived from robotics have recently been applied to the modeling of hands, we consider that original/new and relevant results can be brought into play with the use of more advanced applications of robotic techniques to human hand kinematic modeling.
6). Tracking Organs Using Geodesic Active Region Models 47 The module region function is based on the region average (4). Finally the model has been applied to tracking the lungs (Fig. 7); in this case the organ of interest is composed of two contours and the model can handle topological changes. Fig. 5. Results applying GAR model to thoracic area trying to find out the heart. 31. Frame interval = 1. Fig. 6. Results applying GAR model to thoracic area trying to find out the heart. 31. Frame interval = 10.
Advances in Neural Information Processing Systems 1 by David S. Touretzky (Editor)
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