On Recovering Hyperquadrics from Range Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Landmark Identification Using a New Method of Non-rigid Correspondence
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Solid Modeling: A Historical Summary and Contemporary Assessment
IEEE Computer Graphics and Applications
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In this paper a novel model driven segmentation approach for thoracic MR-images is presented. The goal of this work is to coarsely, but fully automatically localize the boundary surfaces of the heart and lungs in thoracic MR sets. The major organs in the thorax are described in a three-dimensional analytical model template by combining a set of fuzzy implicit surfaces by means of Constructive Solid Geometry, and formulating model registration as an energy minimization. The method has been validated on 20 thoracic MR volumes from two centers (patients and normal subjects). On average 90 % of the contour length of the heart and lung contours was localized with sufficient accuracy (average 6 mm positional error) to automatically provide the initial conditions for a subsequently applied locally accurate segmentation method.