2021
DOI: 10.1002/mp.15243
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Experimental validation of Fastcat kV and MV cone beam CT (CBCT) simulator

Abstract: Purpose:To experimentally validate the Fastcat cone beam computed tomography (CBCT) simulator against kV and MV CBCT images acquired with a Varian Truebeam linac. Methods: kV and MV CBCT images of a Catphan 504 phantom were acquired using a 100 kVp beam with the on-board imager (OBI) and a 6 MV treatment beam with the electronic portal imaging device (EPID),respectively.The kV Fastcat simulation was performed using detailed models of the x-ray source, bowtie filter, a high resolution voxelized virtual Catphan … Show more

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Cited by 6 publications
(12 citation statements)
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“…One should note that some of the MTF curves in this publication have been previously validated against experimental beams in previous studies of Fastcat. 12,13 Specifically, the 6 MV MTF curves for the CWO and GOS detectors were compared to experimental results from Star-lack et al and Shi et al, respectively. 10,22 With MTF values found to have an average root mean squared error (RMSE) of 3.5% and 1.2% compared to experimental values for the CWO and GOS detector, respectively.…”
Section: Discussionmentioning
confidence: 99%
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“…One should note that some of the MTF curves in this publication have been previously validated against experimental beams in previous studies of Fastcat. 12,13 Specifically, the 6 MV MTF curves for the CWO and GOS detectors were compared to experimental results from Star-lack et al and Shi et al, respectively. 10,22 With MTF values found to have an average root mean squared error (RMSE) of 3.5% and 1.2% compared to experimental values for the CWO and GOS detector, respectively.…”
Section: Discussionmentioning
confidence: 99%
“…The Fastcat simulation tool 12,13 is a hybrid Monte Carlo application that was used to simulate the CBCT images presented in this work. Fastcat was demonstrated to be an ideal tool for the rapid and accurate assessment of the modulation transfer function (MTF) and CNR of MV and kV imaging setups.…”
Section: Fastcatmentioning
confidence: 99%
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“…CT simulations were performed using the Fastcat hybrid Monte Carlo (MC) code 53,54 . Fastcat combines MC scatter and detector response functions with GPU ray tracing to produce fast and accurate cone beam CT (CBCT) images.…”
Section: Methodsmentioning
confidence: 99%
“…CT simulations were performed using the Fastcat hybrid Monte Carlo (MC) code. 53,54 Fastcat combines MC scatter and detector response functions with GPU ray tracing to produce fast and accurate cone beam CT (CBCT) images. To mimic the experimental setup, a 330-µm pixel pitch 2-mm thick CZT detector and a 100-mm diameter, 30-mm high polyethylene phantom were simulated with 6-mm inserts of Teflon, Delrin, and acrylic to mimic the inserts found in the phantom.…”
Section: Scatter To Primary Ratio Optimizationmentioning
confidence: 99%