Shape modeling and detection of catheter
First Claim
Patent Images
1. A method for detecting and modeling a catheter in a fluoroscopic image, comprising:
- detecting catheter tip candidates in the fluoroscopic image;
detecting catheter body candidates in the fluoroscopic image; and
fitting one of a plurality of trained shape models to the catheter tip candidates and the catheter body candidates by calculating a probability of each of the plurality of trained shape models, the probability representing the likelihood of the respective trained shape model matching the catheter tip candidates and the catheter body candidates.
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Abstract
A method and system for detecting and modeling a catheter in a fluoroscopic image is disclosed. Catheter tip candidates and catheter body candidates are detected in the fluoroscopic image. One of a plurality of trained shape models is fitted to the catheter tip candidates and the catheter body candidates in order to model a shape of the catheter in the fluoroscopic image.
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Citations
21 Claims
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1. A method for detecting and modeling a catheter in a fluoroscopic image, comprising:
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detecting catheter tip candidates in the fluoroscopic image; detecting catheter body candidates in the fluoroscopic image; and fitting one of a plurality of trained shape models to the catheter tip candidates and the catheter body candidates by calculating a probability of each of the plurality of trained shape models, the probability representing the likelihood of the respective trained shape model matching the catheter tip candidates and the catheter body candidates. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for detecting and modeling a catheter in a fluoroscopic image, comprising:
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means for detecting catheter tip candidates in the fluoroscopic image; means for detecting catheter body candidates in the fluoroscopic image; and means for fitting one of a plurality of trained shape models to the catheter tip candidates and the catheter body candidates by calculating a probability of each of the plurality of trained shape models, the probability representing the likelihood of the respective trained shape model matching the catheter tip candidates and the catheter body candidates. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer readable medium encoded with computer program instructions for detecting and modeling a catheter in a fluoroscopic image, the computer program instructions defining the steps comprising:
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detecting catheter tip candidates in the fluoroscopic image; detecting catheter body candidates in the fluoroscopic image; and fitting one of a plurality of trained shape models to the catheter tip candidates and the catheter body candidates by calculating a probability of each of the plurality of trained shape models, the probability representing the likelihood of the respective trained shape model matching the catheter tip candidates and the catheter body candidates. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification