Paper
27 March 2022 Research on the algorithm of marker center positioning under the occlusion of thermoplastic film
Yanlu Wang, Feng He, Zaihong Hou, Xu Jing, Yilun Cheng
Author Affiliations +
Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121694W (2022) https://doi.org/10.1117/12.2624221
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
Because of its high positioning accuracy, easy identification and high stability, circular markers are widely used in patient positioning in the medical field. However, during radiotherapy, the marker points on the patient's body surface are blocked by the thermoplastic film that fixes the patient, which makes it difficult to extract and locate the center of the marker points. Commonly used circular marker positioning algorithms cannot accurately locate the markers when there are a large number of random deletions. Therefore, a marker center positioning algorithm for this situation is needed. First, the image is converted to the HSV color space to extract the landmark points through threshold processing; then the Canny edge detection algorithm is used to extract the edges of the landmarks under the occlusion; then the Graham scanning method is used to obtain the convex hull points of the edge points. Finally, the improved least squares circle fitting algorithm is used to fit the convex hull points to locate the center of the marker. Verified by experiment, the accuracy of this method for extracting the center of the circular marker is within 0.05 pixel, and the positioning accuracy is much higher than that of the gray-scale centroid method under the same circumstances.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanlu Wang, Feng He, Zaihong Hou, Xu Jing, and Yilun Cheng "Research on the algorithm of marker center positioning under the occlusion of thermoplastic film", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121694W (27 March 2022); https://doi.org/10.1117/12.2624221
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KEYWORDS
RGB color model

Detection and tracking algorithms

Radiotherapy

Image processing

Edge detection

Hough transforms

Machine vision

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