en Radiation Biology Radiation Biology یادداشت فنی Technical Note <div style="text-align: justify;"><span style="font-size:10pt"><span style="text-justify:newspaper"><span style="text-kashida-space:50%"><span style="line-height:119%"><span style="font-family:Calibri"><span style="color:black"><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Background</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-weight:bold"><span style="language:en-US">:</span></span></span></span></span> <span lang="en-GB" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:black"><span style="language:en-GB">Computed tomography (CT) scans have become an essential diagnostic tool, but they carry significant risks due to the exposure of patients to ionizing radiation. Therefore, healthcare professionals have a responsibility to optimize radiation dose and image quality simultaneously. One factor that significantly affects the quality of images and radiation dose is the bowtie filter used in CT systems, which homogenizes and shapes the X-ray spectrum. However, its characteristic shape, specific to each manufacturer makes it impossible to model it from only the information in the technical note alone. </span></span></span></span><span lang="en-GB" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-GB">Materials and Methods: </span></span></span></span></span></span><span lang="en-GB" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:black"><span style="language:en-GB">This study presents a novel methodology using optically stimulated luminescence (OSLD) nanodots to determine the body bowtie filter shape in a Siemens SOMATOM EMOTION 16-slice CT. The accuracy of the body bowtie filter shape generated by OSLD was validated by performing Monte Carlo simulations of CT scans. </span></span></span></span><span lang="en-GB" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-GB">Results: </span></span></span></span></span></span><span lang="en-GB" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:black"><span style="language:en-GB">The difference between simulated and measured CTDIw values for the PET/CT Siemens at 80, 110 and 130 kVp were 4.02%, 7.74%, and 4.81%, respectively. </span></span></span></span><span lang="en-GB" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-GB">Conclusion: </span></span></span></span></span></span><span lang="en-GB" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:black"><span style="language:en-GB">In this work, it has been demonstrated that the use of OSLD nanodots allows for the determination of the shape of bowtie filters in CT scans with acceptable accuracy. This work has the potential to address a significant gap in the modeling of bowtie filters, which could significantly improve the optimization of radiation dose and image quality in CT scans.</span></span></span></span></span></span></span></span></span></span></div> Computed tomography (CT) dosimetry,bow-tie filter, OSL dosimeter. 207 211 http://ijrr.com/browse.php?a_code=A-10-1-1158&slc_lang=en&sid=1 A. Khallouqi a.khallouqi@uhp.ac.ma 7900319475328460026094 7900319475328460026094 Yes Hassan First University of Settat,, High Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco W. Allioui 7900319475328460026095 7900319475328460026095 No Hassan First University of Settat,, High Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco A. Halimi 7900319475328460026096 7900319475328460026096 No Hassan First University of Settat,, High Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco O. El rhazouani 7900319475328460026097 7900319475328460026097 No Hassan First University of Settat,, High Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco S. Didi 7900319475328460026098 7900319475328460026098 No Department of radiology public hospital, Mediouna, Morocco