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Tomographic convolutional dosimetry of interstitial brachytherapy implants
Author(s) -
Ove Roger
Publication year - 1999
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.598621
Subject(s) - imaging phantom , dosimetry , brachytherapy , convolution (computer science) , kernel (algebra) , calibration , iterative reconstruction , computation , nuclear medicine , computer science , mathematics , optics , physics , algorithm , computer vision , artificial intelligence , radiation therapy , medicine , radiology , statistics , combinatorics , artificial neural network
A method for approximation of the dose distribution generated by an interstitial brachytherapy implant is introduced. The method employs convolution of raw tomographic data, as a measurement of attenuation of CT pencil beams by the metallic substrate and casing of radioactive seeds. A convolution kernel is introduced in the algorithm for CT image reconstruction such that the tomographic computation results in an approximation of absorbed dose. Error estimates are discussed, and limitations of the method and the domain of validity are discussed. Equivalence with a technique of employing convolution methods to the CT image itself is demonstrated. Calibration and testing on phantom implants is underway.