Evaluation of mathematical algorithms for automatic patient alignment in radiosurgery

Technology in Cancer Research & Treatment
Kenneth M WilliamsAndrew J Wroe

Abstract

Image registration techniques based on anatomical features can serve to automate patient alignment for intracranial radiosurgery procedures in an effort to improve the accuracy and efficiency of the alignment process as well as potentially eliminate the need for implanted fiducial markers. To explore this option, four two-dimensional (2D) image registration algorithms were analyzed: the phase correlation technique, mutual information (MI) maximization, enhanced correlation coefficient (ECC) maximization, and the iterative closest point (ICP) algorithm. Digitally reconstructed radiographs from the treatment planning computed tomography scan of a human skull were used as the reference images, while orthogonal digital x-ray images taken in the treatment room were used as the captured images to be aligned. The accuracy of aligning the skull with each algorithm was compared to the alignment of the currently practiced procedure, which is based on a manual process of selecting common landmarks, including implanted fiducials and anatomical skull features. Of the four algorithms, three (phase correlation, MI maximization, and ECC maximization) demonstrated clinically adequate (ie, comparable to the standard alignment technique) translat...Continue Reading

References

Jun 23, 2000·International Journal of Radiation Oncology, Biology, Physics·R W SchulteJ M Slater
May 13, 2006·Medical Dosimetry : Official Journal of the American Association of Medical Dosimetrists·Lei XingAlbert Koong
Aug 22, 2007·Technology in Cancer Research & Treatment·David Lesyna
Jan 1, 1996·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·B S Reddy, B N Chatterji
May 6, 2008·Medical Dosimetry : Official Journal of the American Association of Medical Dosimetrists·Jian-Yue JinTimothy D Solberg
Aug 16, 2008·IEEE Transactions on Pattern Analysis and Machine Intelligence·Georgios D Evangelidis, Emmanouil Z Psarakis
Sep 27, 2013·Technology in Cancer Research & Treatment·Andrew J WroeJerry D Slater

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Methods Mentioned

BETA
x-ray imaging
X-Ray

Software Mentioned

MATLAB

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