Variational guidewire tracking using phase congruency

Authors:
Greg Slabaugh;Koon Kong;Gozde Unal;Tong Fang
Affiliations:
Intelligent Vision and Reasoning Department, Siemens Corporate Research;School of Electrical and Comp. Engineering, Georgia Institute of Technology;Intelligent Vision and Reasoning Department, Siemens Corporate Research;Intelligent Vision and Reasoning Department, Siemens Corporate Research
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Year:
2007

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Abstract

We present a novel method to track a guidewire in cardiac x-ray video. Using variational calculus, we derive differential equations that deform a spline, subject to intrinsic and extrinsic forces, so that it matches the image data, remains smooth, and preserves an a priori length. We analytically derive these equations from first principles, and show how they include tangential terms, which we include in our model. To address the poor contrast often observed in x-ray video, we propose using phase congruency as an image-based feature. Experimental results demonstrate the success of the method in tracking guidewires in low contrast x-ray video.