<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">IJMPCERO</journal-id><journal-title-group><journal-title>International Journal of Medical Physics, Clinical Engineering and Radiation Oncology</journal-title></journal-title-group><issn pub-type="epub">2168-5436</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ijmpcero.2017.61003</article-id><article-id pub-id-type="publisher-id">IJMPCERO-73422</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Preliminary Monte Carlo Investigation of Using Ir-192 as the Source for Real Time Imaging Purpose
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chengyu</surname><given-names>Shi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Brian</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Radiation Oncology, James Brown Cancer Center, The University of Louisville, Louisville, KY, USA</addr-line></aff><aff id="aff1"><addr-line>Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA</addr-line></aff><pub-date pub-type="epub"><day>11</day><month>01</month><year>2017</year></pub-date><volume>06</volume><issue>01</issue><fpage>21</fpage><lpage>30</lpage><history><date date-type="received"><day>November</day>	<month>25,</month>	<year>2016</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>January</month>	<year>8,</year>	</date><date date-type="accepted"><day>January</day>	<month>12,</month>	<year>2017</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The purpose of this study is to investigate the potential use of Ir-192 as the source for real time imaging during HDR (High Dose Rate) brachytherapy treatment. Phantom measurement was performed to determine outside of the body dose. Monte Carlo code, EGSnrcMP egs_inprz, was used for the simulation to calculate the outside of the body x-ray signal for CT reconstruction. Matlab code was developed to reconstruct the Ir-192 source and for 3D visualization in order to assess reconstructed CT resolution, signal-to-noise ratio, and imaging dose information. The measured dose was 0.67 &#177; 0.04 cGy, which was comparable to the Monte Carlo simulation result 0.71 &#177; 0.20 cGy. The reconstructed source diameter dimension was 1.3 mm compared with 1.1 mm for the real source dimension. The signal-to-noise ratio was 19.91 db following de-noising. Source position was within a 1 mm difference between programmed and simulated results. Although the Ir-192 signal is weak for CT imaging, it is possible to use it as a CT imaging x-ray source for HDR treatment localization, verification and dosimetry purposes. Further study is needed for the detailed design of an outside of the body CT-like device for use in brachytherapy imaging.
 
</p></abstract><kwd-group><kwd>Monte Carlo</kwd><kwd> Ir-192</kwd><kwd> HDR</kwd><kwd> Imaging</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>With the goal of sparing organs at risk (OARs), new radiation therapy techniques have been developed in the past two decades to treat the target while avoiding healthy tissues. Intensity Modulated Radiation Therapy (IMRT) technique has been widely applied to external beam radiation therapy. In order to ensure precision and accuracy of treatment, IMRT requires combined use with Imaging Guided Radiation Therapy (IGRT). However, in brachytherapy, the implementation of IMRT is delayed due to treatment space and physical limitations. Several studies have tried to apply IMRT concept to brachytherapy. In 2002, Ebert investigated the use of Intensity-Modulated Brachytherapy (IMBT) with radially asymmetric internally applied radiation sources [<xref ref-type="bibr" rid="scirp.73422-ref1">1</xref>] . In 2008, Hiatt et al. introduced the concept of Intensity Modulated Electronic Brachytherapy (IMEB) [<xref ref-type="bibr" rid="scirp.73422-ref2">2</xref>] , and then in 2009 further explored depth dose modulation electronic brachytherapy to spare skin in intracavitary breast treatment [<xref ref-type="bibr" rid="scirp.73422-ref3">3</xref>] . In 2010, Shi et al. used dosimetry algorithm and inverse treatment planning to calculate three- dimensional (3D) IMBT dose distributions [<xref ref-type="bibr" rid="scirp.73422-ref4">4</xref>] . All these studies focused on the IMBT concept and dosimetry. Recently, Liu et al. developed a rotating-shield device in 2013 and later modified it for application in different brachytherapy treatments [<xref ref-type="bibr" rid="scirp.73422-ref5">5</xref>] - [<xref ref-type="bibr" rid="scirp.73422-ref10">10</xref>] , further expanding IMBT’s clinical capabilities. Similar to IMRT’s dependence on IGRT for external beam treatment, IMBT also relies on imaging prior to treatment, during treatment, and even following treatment with verification. Brachytherapy treatment also requires imaging guidance or real- time imaging for localization and verification purposes. Image guidance is actually more important in brachytherapy than external treatment due to the large dose variation as a result of applicator position uncertainty. Several studies showed there is approximately a 5% change in dosimetry for the target and nearby critical structures per mm of applicator shift [<xref ref-type="bibr" rid="scirp.73422-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.73422-ref12">12</xref>] . In a recent review of HDR (High Dose Rate) safety, authors reported about 8 events per 33,000 treatments each year [<xref ref-type="bibr" rid="scirp.73422-ref13">13</xref>] . The causes of these events were mostly due to wrong length, distance, or applicator. Therefore, imaging verification during treatment is important for preventing adverse events.</p><p>Real-time monitoring of applicator position has been explored with use of infrared markers [<xref ref-type="bibr" rid="scirp.73422-ref14">14</xref>] , but this technique is burdened by bulky equipment and potential marker shifts relative to the applicators. Other existing imaging modalities, such as ultrasound, MRI (Magnetic Resonance Imaging), and C-arm x-ray, CT (Computed Tomography) either need an extra imaging source, which is not convenient in brachytherapy treatment, or lack real-time imaging potential. There are many potential benefits if the Ir-192 source itself for HDR treatment can be used as the imaging source and if a special CT type detector for imaging can be designed. This could reduce unnecessary x-ray sources and exposure, be performed in real-time, and provide inherent source localization information. Safavi-Naeini el al. developed a BrachyView in-body imaging system for HDR prostate brachytherapy in 2013 and 2015 [<xref ref-type="bibr" rid="scirp.73422-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.73422-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.73422-ref17">17</xref>] , which was capable of providing imaging, localization and dose validation. However, due to physical space limitations, the device may not be suitable for all types of HDR treatment.</p><p>In this study, we investigated the potential of using Ir-192 as the CT source for brachytherapy imaging purposes. Monte Carlo simulation was carried out to study the accuracy of localization with the Ir-192 source and to assess imaging resolution, signal-to-noise ratio, imaging dose information.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Phantom and Treatment Planning</title><p>An ACR (American College of Radiology) CT accreditation adult abdomen phantom (diameter = 16 cm) was used for this study and is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>(a) and <xref ref-type="fig" rid="fig1">Figure 1</xref>(b). The phantom was scanned with a GE (General Electric Company, Milwaukee, Wisconsin, USA) 4-slice LightSpeed CT scanner using a brachytherapy protocol (1.25 mm CT slice thickness, 50 cm field-of-view (FOV)). Images were then transferred to an Oncentra treatment planning system (Elekta Medical System Ltd., Stockholm, Sweden. version 4.3). A treatment plan was developed with a 3.0 cm diameter cylinder simulated. The prescription was 500 cGy per fraction at 5 mm above the cylinder surface. Thus, 2.0 cm away from the center in the radius direction would receive 500 cGy per fraction. The treatment plan was then transferred to the microSelectron HDR unit. A Fluke (Fluke Electronics Corporation, Everett, WA) Model 451 P pressurized ion chamber survey meter was placed with the detector sensitive region touching the phantom surface for dose rate measurement. The University of Wisconsin Accredited Dosimetry Calibration Laboratory calibrated the survey meter with &#177;6.5% uncertainty. <xref ref-type="fig" rid="fig1">Figure 1</xref> shows the CT scanning and treatment setup for the adult abdomen phantom. The purpose of this phantom study is to get the range of dose rate on the phantom surface and to calculate the calibration factor for the following Monte Carlo simulation to convert fluence to absolute dose per simulated particle.</p></sec><sec id="s2_2"><title>2.2. Monte Carlo (MC) Simulation</title><p>The EGSnrcMP egs_inprz (version 1.0) program (National Research and Council Canada) was used for the Monte Carlo simulation. EGSnrcMP egs_inprz is a graphic user interface (GUI) for the NRC RZ user-codes</p><fig-group id="fig1"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> (a) CT scan of the adult abdomen phantom with source position simulator, (b) treatment setup for the phantom.</title></caption><fig id ="fig1_1"><label>(a)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x2.png"/></fig><fig id ="fig1_2"><label> (b)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x3.png"/></fig></fig-group><p>(http://nrc-cnrc.github.io/EGSnrc/doc/pirs801-egsinprz.pdf). DOSRZnrc user code was selected. The adult abdomen phantom was simulated with PMMA materials and the Ir-192 microSelectron spectrum was chosen for the simulation. Uniform isotropically radiating disk of finite size was used and the settings for source simulation were: RMINBM = 0, RBEAM = 0.06, ZSMIN = 5.0 and ZSMAX = 5.35. The Ir-192 Source dimension (diameter and active length) information followed the paper published by Mowlavi et al. in 2008 [<xref ref-type="bibr" rid="scirp.73422-ref18">18</xref>] . In total, 10<sup>9</sup> particles were simulated with ECUT = 0.521 MeV and PCUT = 0.01 MeV settings. <xref ref-type="fig" rid="fig2">Figure 2</xref>(a) depicts the geometry of the simulation. Longitudinal and radius profiles for the simulation were recorded. The 3 mm margin outside of the diameter = 16 cm was assumed to be detector region and used for recording the CT-like device detector signal (here is the deposited dose information) purpose.</p></sec><sec id="s2_3"><title>2.3. Post-Processing of the MC Results</title><p>In-house Matlab (R2010a, The MathWorks, Natick, MA, USA) code was written to post-process the simulated results. The inverse radon transform (“iradon” function in Matlab) was performed and the 2D CT image was generated. The inverse radon transform will reconstruct the image from the projection data in the 2D array. A de-noising technique with wavelet decomposition at level 5 and soft thresholding (“wavedec2” function in Matlab with N = 5 and wname = “db5”) was performed on original reconstructed 2D image to get better image quality. The wavedec2 function will return the wavelet decomposition of the image at certain level. With the same inverse radon transform, de-noised image showed better reconstructed result.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Measurement vs. Monte Carlo Simulation for Absolute Dosimetry</title><p>The measured dose rate using the 451 P survey meter was 8.3 R/h (the apparent source activity was 8.11 Ci at the measurement time), which was converted to air dose using the factor 0.877 cGy/R and a treatment time of 332.3 s. The measured dose was 0.67 cGy. If &#177;6.5% uncertainty was taken into account, the measured result was then 0.67 &#177; 0.04 cGy. The Monte Carlo simulation result was then calibrated at 2.0 cm away from the phantom center receiving 500 cGy. The calibration factor was 2 &#215; 10<sup>13</sup> particles/Gy. The dose was 0.71 &#177; 0.20 cGy at a radius distance of 16.3 cm, which was 5% higher than the measured result. Factors for the difference between measurements and simulations include the survey meter’s calibration uncertainty and the Monte Carlo simulation’s uncertainty of &#177;28.0% @ depth 16.3 cm due to the weak signal of the brachytherapy source. However, the measurement was still in the simulation range. Please note that the Monte Carlo uncertainty is independent of the source activity. The source activity was used for deriving the calibration factor for Monte Carlo simulation in order to get absolute dose information. If the source is weaker, the delivery time for the measurement will be longer, but the integral dose will be the same.</p><fig-group id="fig2"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> (a) Monte Carlo simulation geometry; (b) Detector response at the radius distance 16.3 cm, the channel number is corresponding to the z direction in (a) and the signal is normalized dose deposited at the region 16.0 cm - 16.3 cm; (c) Raw projection data plot. The parallel rotation angle is corresponding to angle along the z direction in (a) and the parallel sensor position is corresponding to signal response in r the direction. (d) Reconstructed CT image from raw projection (signal c); (e) Projection data plot with de-noising; (f) Reconstructed CT image with de-noising (signal e).</title></caption><fig id ="fig2_1"><label>(b)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x4.png"/></fig><fig id ="fig2_2"><label>(c)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x5.png"/></fig><fig id ="fig2_3"><label>(d)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x6.png"/></fig><fig id ="fig2_4"><label>(e)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x7.png"/></fig><fig id ="fig2_5"><label>(f)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x8.png"/></fig><fig id ="fig2_6"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x9.png"/></fig></fig-group></sec><sec id="s3_2"><title>3.2. Source Position, Dimension Comparison and Signal-to-Noise Ratio</title><p><xref ref-type="fig" rid="fig2">Figure 2</xref>(b) shows the profile of one normalized signal result at a distance of 16.0 cm to 16.3 cm along the z direction. <xref ref-type="fig" rid="fig2">Figure 2</xref>(c) shows the original 2D CT sinogram image and <xref ref-type="fig" rid="fig2">Figure 2</xref>(d) shows the re-constructed image. <xref ref-type="fig" rid="fig2">Figure 2</xref>(e) shows the de-noised 2D CT sinogram image and <xref ref-type="fig" rid="fig2">Figure 2</xref>(f) shows the re-con- structed image of <xref ref-type="fig" rid="fig2">Figure 2</xref>(e). The 2D CT was constructed using a dimension of 255 &#215; 255. If 50% of the maximum signal was considered to be source diameter boundary, the source diameter dimension was then 1.3 mm (2 &#215; 160 mm/255 pixel &#215; 1 pixel), which is comparable to the 1.1 mm diameter reported by Mowlavi et al. in 2008 [<xref ref-type="bibr" rid="scirp.73422-ref18">18</xref>] . If we use the de-noised image shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>(d) for comparison, the signal to noise ratio would be 19.91 db. Histogram plots for <xref ref-type="fig" rid="fig2">Figure 2</xref>(d) and <xref ref-type="fig" rid="fig2">Figure 2</xref>(f) show a clear improvement in signal to noise ratios and are presented in <xref ref-type="fig" rid="fig3">Figure 3</xref>(a) and <xref ref-type="fig" rid="fig3">Figure 3</xref>(b).</p><fig-group id="fig3"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> (a) Histogram plot for <xref ref-type="fig" rid="fig2">Figure 2</xref>(d), (b) histogram plot for <xref ref-type="fig" rid="fig2">Figure 2</xref>(f). A 20-fold improvement was observed with the de-noising technique.</title></caption><fig id ="fig3_1"><label>(b)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x10.png"/></fig><fig id ="fig3_2"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x11.png"/></fig></fig-group><p>A 2<sup>nd</sup> Monte Carlo simulation was performed with the source retracted by 5 cm. The results were merged with the first simulation to simulate two source dwell positions. The magnitude of the 2<sup>nd</sup> simulation was weighted at 30% of the first simulation in order to differentiate the two signals. <xref ref-type="fig" rid="fig4">Figure 4</xref> shows the dose/particle plot for the simulation of the two differentially weighted dwell positions. The second source center position calculated from the Monte Carlo simulation was 50.2 mm compared to the programmed center position of 50.175 mm. The sub-millimeter accuracy of results clearly illustrates correct source position and relative weight.</p></sec></sec><sec id="s4"><title>4. Discussions and Summary</title><p>Even though the signal response is low compared to the prescribed dose (0.672/500 = 0.13%), it is still possible to use the Ir-192 source as a radiation source for CT-like imaging. With proper signal processing, this could offer localization and verification information. Our Monte Carlo simulation results show that the image can offer correct source dose, position, and dimension information despite of relative high uncertainties.</p><p>Currently, there are few publications on the use of the Ir-192 source itself as an imaging source. Safavi-Naeini et al. designed a BrachyView in vivo imaging device for brachytherapy [<xref ref-type="bibr" rid="scirp.73422-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.73422-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.73422-ref17">17</xref>] , which can achieve sub-millimeter accuracy with an equivalent acquisition time of 0.5 s and their results support the use of the Ir-192 source as an imaging source. However, since BrachyView is an inbody device, its application is limited in other treatment sites, such as with breast HDR. For the real device design, the publication by Duan (2010) showed a</p><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Simulation of two differentially weighted dwell positions. Where X direction is along <xref ref-type="fig" rid="fig2">Figure 2</xref>(a) z direction and Y direction is along <xref ref-type="fig" rid="fig2">Figure 2</xref>(a) r direction</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2660235x12.png"/></fig><p>0.5 mm pinhole camera could resolve source position separation as small as 1 mm [<xref ref-type="bibr" rid="scirp.73422-ref19">19</xref>] .</p><p>Our goal is to design an outside of the body CT-like device and to achieve similar imaging and dose information as was done with BrachyView. Further study is still needed for the detailed design of an out of the body CT-like device for brachytherapy imaging, but this preliminary study provides a proof of a concept for Monte Carlo simulations and also provides guidelines for future device design.</p></sec><sec id="s5"><title>Acknowledgements</title><p>This research was funded in part through the NIH/NCI Cancer Center Support Grant P30 CA008748.</p></sec><sec id="s6"><title>Cite this paper</title><p>Shi, C.Y. and Wang, B. (2017) Preliminary Monte Carlo Investigation of Using Ir-192 as the Source for Real Time Imaging Purpose. Inter- national Journal of Medical Physics, Cli- nical Engineering and Radiation Oncology, 6, 21-30. http://dx.doi.org/10.4236/ijmpcero.2017.61003</p></sec></body><back><ref-list><title>References</title><ref id="scirp.73422-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Ebert, M.A. (2002) Possibilities for Intensity-Modulated Brachytherapy: Technical Limitations on the Use of Non-Isotropic Sources. Physics in Medicine and Biology, 47, 2495-509. https://doi.org/10.1088/0031-9155/47/14/309</mixed-citation></ref><ref id="scirp.73422-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Hiatt, J., Hepel, J., Carol, M., Cardarelli, G., Wazer, D. and Sternick, E. (2008) Physical Principles of Intensity Modulated Electronic Brachytherapy (IMEB). 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