Poster - Thur Eve - 37: Improved clustering MLC leaf-sequencing algorithm for step-and-shoot IMRT

Medical Physics
J JingJ Chow

Abstract

This study examines how to reduce the complexity of fluence map generated using an improved clustering leaf-sequencing method, and evaluates such method in step-and-shoot intensity-modulated radiotherapy (IMRT). Based on the current equal-space grouping algorithm for multileaf collimator (MLC) leaf sequence, we proposed an improved K-means grouping algorithm which can replace the stratification routine in the program of existing leaf sequence. The improved algorithm can be thought of as a gradient descent procedure, which begins at starting cluster centroids, and iteratively updates these centroids to decrease the objective function. The K-means always converge to a local minimum depending on the starting cluster centroids. The K-means algorithm continuously updates cluster centroids until the local minimum is reached. We compare the leaf-sequencing results in term of numerical values from the improved K-means and equal-space grouping algorithm. A representative 1D intensity map from a clinical treatment plan was investigated and optimized by the K-means and equal-space grouping algorithm. It was found that the K-means algorithm decreased the dose square error from 53.67 to 35.27. Moreover, the normalized square differences of ...Continue Reading

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