ScatterNet: A convolutional neural network for cone‐beam CT intensity correction
Medical Physics2018Vol. 45(11), pp. 4916–4926
Citations Over TimeTop 10% of 2018 papers
David C. Hansen, Guillaume Landry, Florian Kamp, Minglun Li, Claus Belka, Katia Parodi, Christopher Kurz
Abstract
Using a deep convolutional neural network for CBCT intensity correction was shown to be feasible in the pelvic region for the first time. Dose calculation accuracy on CBCT ScatterNet was high for VMAT, but unsatisfactory for IMPT. With respect to the reference technique (CBCT cor ), the neural network enabled a considerable increase in speed for intensity correction and might eventually allow for on-the-fly shading correction during CBCT acquisition.
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