Mechanical and Imaging Properties of a Clinical-Grade Kidney Phantom Based on Polydimethylsiloxane and Elastomer
Medical imaging phantoms are considered critical in mimicking the properties of human tissue for calibration, training, surgical planning, and simulation purposes. Hence, the stability and accuracy of the imaging phantom play a significant role in diagnostic imaging. This study aimed to evaluate the...
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creator | Kamal, Izdihar Razak, Hairil Rashmizal Abdul Abdul Karim, Muhammad Khalis Mashohor, Syamsiah Liew, Josephine Ying Chyi Low, Yiin Jian Zaaba, Nur Atiqah Norkhairunnisa, Mazlan Rafi, Nur Athirah Syima Mohd |
description | Medical imaging phantoms are considered critical in mimicking the properties of human tissue for calibration, training, surgical planning, and simulation purposes. Hence, the stability and accuracy of the imaging phantom play a significant role in diagnostic imaging. This study aimed to evaluate the influence of hydrogen silicone (HS) and water (H
O) on the compression strength, radiation attenuation properties, and computed tomography (CT) number of the blended Polydimethylsiloxane (PDMS) samples, and to verify the best material to simulate kidney tissue. Four samples with different compositions were studied, including samples S1, S2, S3, and S4, which consisted of PDMS 100%, HS/PDMS 20:80, H
O/PDMS 20:80, and HS/H
O/PDMS 20:40:40, respectively. The stability of the samples was assessed using compression testing, and the attenuation properties of sample S2 were evaluated. The effective atomic number of S2 showed a similar pattern to the human kidney tissue at 1.50 × 10
to 1 MeV. With the use of a 120 kVp X-ray beam, the CT number quantified for S2, as well measured 40 HU, and had the highest contrast-to-noise ratio (CNR) value. Therefore, the S2 sample formulation exhibited the potential to mimic the human kidney, as it has a similar dynamic and is higher in terms of stability as a medical phantom. |
doi_str_mv | 10.3390/polym14030535 |
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O) on the compression strength, radiation attenuation properties, and computed tomography (CT) number of the blended Polydimethylsiloxane (PDMS) samples, and to verify the best material to simulate kidney tissue. Four samples with different compositions were studied, including samples S1, S2, S3, and S4, which consisted of PDMS 100%, HS/PDMS 20:80, H
O/PDMS 20:80, and HS/H
O/PDMS 20:40:40, respectively. The stability of the samples was assessed using compression testing, and the attenuation properties of sample S2 were evaluated. The effective atomic number of S2 showed a similar pattern to the human kidney tissue at 1.50 × 10
to 1 MeV. With the use of a 120 kVp X-ray beam, the CT number quantified for S2, as well measured 40 HU, and had the highest contrast-to-noise ratio (CNR) value. Therefore, the S2 sample formulation exhibited the potential to mimic the human kidney, as it has a similar dynamic and is higher in terms of stability as a medical phantom.</description><identifier>ISSN: 2073-4360</identifier><identifier>EISSN: 2073-4360</identifier><identifier>DOI: 10.3390/polym14030535</identifier><identifier>PMID: 35160523</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Anthropomorphism ; Atomic properties ; Attenuation ; Cardiovascular disease ; Compression tests ; Compressive strength ; Computed tomography ; Dynamic stability ; Elastomers ; Evaluation ; Human tissues ; Kidney diseases ; Kidneys ; Medical imaging ; Noise ; Polydimethylsiloxane ; Quality standards ; Radiation ; Scanners ; Silicone resins ; Software ; Stability analysis ; Tomography</subject><ispartof>Polymers, 2022-01, Vol.14 (3), p.535</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-14ca202dd369101e6e820c0caf69adf048305cf17ca4e7a61880d7167606f5513</citedby><cites>FETCH-LOGICAL-c415t-14ca202dd369101e6e820c0caf69adf048305cf17ca4e7a61880d7167606f5513</cites><orcidid>0000-0002-5357-4193 ; 0000-0002-8266-0381 ; 0000-0003-0144-8360 ; 0000-0001-8870-8596 ; 0000-0003-1577-4773 ; 0000-0001-8562-6253</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840541/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840541/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35160523$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kamal, Izdihar</creatorcontrib><creatorcontrib>Razak, Hairil Rashmizal Abdul</creatorcontrib><creatorcontrib>Abdul Karim, Muhammad Khalis</creatorcontrib><creatorcontrib>Mashohor, Syamsiah</creatorcontrib><creatorcontrib>Liew, Josephine Ying Chyi</creatorcontrib><creatorcontrib>Low, Yiin Jian</creatorcontrib><creatorcontrib>Zaaba, Nur Atiqah</creatorcontrib><creatorcontrib>Norkhairunnisa, Mazlan</creatorcontrib><creatorcontrib>Rafi, Nur Athirah Syima Mohd</creatorcontrib><title>Mechanical and Imaging Properties of a Clinical-Grade Kidney Phantom Based on Polydimethylsiloxane and Elastomer</title><title>Polymers</title><addtitle>Polymers (Basel)</addtitle><description>Medical imaging phantoms are considered critical in mimicking the properties of human tissue for calibration, training, surgical planning, and simulation purposes. Hence, the stability and accuracy of the imaging phantom play a significant role in diagnostic imaging. This study aimed to evaluate the influence of hydrogen silicone (HS) and water (H
O) on the compression strength, radiation attenuation properties, and computed tomography (CT) number of the blended Polydimethylsiloxane (PDMS) samples, and to verify the best material to simulate kidney tissue. Four samples with different compositions were studied, including samples S1, S2, S3, and S4, which consisted of PDMS 100%, HS/PDMS 20:80, H
O/PDMS 20:80, and HS/H
O/PDMS 20:40:40, respectively. The stability of the samples was assessed using compression testing, and the attenuation properties of sample S2 were evaluated. The effective atomic number of S2 showed a similar pattern to the human kidney tissue at 1.50 × 10
to 1 MeV. With the use of a 120 kVp X-ray beam, the CT number quantified for S2, as well measured 40 HU, and had the highest contrast-to-noise ratio (CNR) value. Therefore, the S2 sample formulation exhibited the potential to mimic the human kidney, as it has a similar dynamic and is higher in terms of stability as a medical phantom.</description><subject>Anthropomorphism</subject><subject>Atomic properties</subject><subject>Attenuation</subject><subject>Cardiovascular disease</subject><subject>Compression tests</subject><subject>Compressive strength</subject><subject>Computed tomography</subject><subject>Dynamic stability</subject><subject>Elastomers</subject><subject>Evaluation</subject><subject>Human tissues</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Medical imaging</subject><subject>Noise</subject><subject>Polydimethylsiloxane</subject><subject>Quality standards</subject><subject>Radiation</subject><subject>Scanners</subject><subject>Silicone resins</subject><subject>Software</subject><subject>Stability analysis</subject><subject>Tomography</subject><issn>2073-4360</issn><issn>2073-4360</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkc1v1DAQxS0EolXpkSuyxIVLyjj-SHJBglVpK4rYA5ytwXZ2XTl2sLOI_e_xtqVqmcuMNL95mqdHyGsGZ5wP8H5OYT8xARwkl8_IcQsdbwRX8PzRfEROS7mBWkIqxbqX5IhLpkC2_JjMX53ZYvQGA8Vo6dWEGx83dJ3T7PLiXaFppEhXwd9CzUVG6-gXb6Pb03U9XdJEP2FxlqZI1_Uh6ye3bPeh-JD-YHS3uucBSyVdfkVejBiKO73vJ-TH5_Pvq8vm-tvF1erjdWMEk0vDhMEWWmu5Ghgwp1zfggGDoxrQjiD66tmMrDMoXIeK9T3YjqlOgRqlZPyEfLjTnXc_J2eNi0vGoOfsJ8x7ndDrp5vot3qTfuu-FyDFQeDdvUBOv3auLHryxbgQqqW0K7pV7QCqlQOv6Nv_0Ju0y7HaO1Bdz2QnRaWaO8rkVEp248MzDPQhTv0kzsq_eezggf4XHv8LS8ucSg</recordid><startdate>20220128</startdate><enddate>20220128</enddate><creator>Kamal, Izdihar</creator><creator>Razak, Hairil Rashmizal Abdul</creator><creator>Abdul Karim, Muhammad Khalis</creator><creator>Mashohor, Syamsiah</creator><creator>Liew, Josephine Ying Chyi</creator><creator>Low, Yiin Jian</creator><creator>Zaaba, Nur Atiqah</creator><creator>Norkhairunnisa, Mazlan</creator><creator>Rafi, Nur Athirah Syima Mohd</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5357-4193</orcidid><orcidid>https://orcid.org/0000-0002-8266-0381</orcidid><orcidid>https://orcid.org/0000-0003-0144-8360</orcidid><orcidid>https://orcid.org/0000-0001-8870-8596</orcidid><orcidid>https://orcid.org/0000-0003-1577-4773</orcidid><orcidid>https://orcid.org/0000-0001-8562-6253</orcidid></search><sort><creationdate>20220128</creationdate><title>Mechanical and Imaging Properties of a Clinical-Grade Kidney Phantom Based on Polydimethylsiloxane and Elastomer</title><author>Kamal, Izdihar ; Razak, Hairil Rashmizal Abdul ; Abdul Karim, Muhammad Khalis ; Mashohor, Syamsiah ; Liew, Josephine Ying Chyi ; Low, Yiin Jian ; Zaaba, Nur Atiqah ; Norkhairunnisa, Mazlan ; Rafi, Nur Athirah Syima Mohd</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-14ca202dd369101e6e820c0caf69adf048305cf17ca4e7a61880d7167606f5513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Anthropomorphism</topic><topic>Atomic properties</topic><topic>Attenuation</topic><topic>Cardiovascular disease</topic><topic>Compression tests</topic><topic>Compressive strength</topic><topic>Computed tomography</topic><topic>Dynamic stability</topic><topic>Elastomers</topic><topic>Evaluation</topic><topic>Human tissues</topic><topic>Kidney diseases</topic><topic>Kidneys</topic><topic>Medical imaging</topic><topic>Noise</topic><topic>Polydimethylsiloxane</topic><topic>Quality standards</topic><topic>Radiation</topic><topic>Scanners</topic><topic>Silicone resins</topic><topic>Software</topic><topic>Stability analysis</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kamal, Izdihar</creatorcontrib><creatorcontrib>Razak, Hairil Rashmizal Abdul</creatorcontrib><creatorcontrib>Abdul Karim, Muhammad Khalis</creatorcontrib><creatorcontrib>Mashohor, Syamsiah</creatorcontrib><creatorcontrib>Liew, Josephine Ying Chyi</creatorcontrib><creatorcontrib>Low, Yiin Jian</creatorcontrib><creatorcontrib>Zaaba, Nur Atiqah</creatorcontrib><creatorcontrib>Norkhairunnisa, Mazlan</creatorcontrib><creatorcontrib>Rafi, Nur Athirah Syima Mohd</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Polymers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kamal, Izdihar</au><au>Razak, Hairil Rashmizal Abdul</au><au>Abdul Karim, Muhammad Khalis</au><au>Mashohor, Syamsiah</au><au>Liew, Josephine Ying Chyi</au><au>Low, Yiin Jian</au><au>Zaaba, Nur Atiqah</au><au>Norkhairunnisa, Mazlan</au><au>Rafi, Nur Athirah Syima Mohd</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mechanical and Imaging Properties of a Clinical-Grade Kidney Phantom Based on Polydimethylsiloxane and Elastomer</atitle><jtitle>Polymers</jtitle><addtitle>Polymers (Basel)</addtitle><date>2022-01-28</date><risdate>2022</risdate><volume>14</volume><issue>3</issue><spage>535</spage><pages>535-</pages><issn>2073-4360</issn><eissn>2073-4360</eissn><abstract>Medical imaging phantoms are considered critical in mimicking the properties of human tissue for calibration, training, surgical planning, and simulation purposes. Hence, the stability and accuracy of the imaging phantom play a significant role in diagnostic imaging. This study aimed to evaluate the influence of hydrogen silicone (HS) and water (H
O) on the compression strength, radiation attenuation properties, and computed tomography (CT) number of the blended Polydimethylsiloxane (PDMS) samples, and to verify the best material to simulate kidney tissue. Four samples with different compositions were studied, including samples S1, S2, S3, and S4, which consisted of PDMS 100%, HS/PDMS 20:80, H
O/PDMS 20:80, and HS/H
O/PDMS 20:40:40, respectively. The stability of the samples was assessed using compression testing, and the attenuation properties of sample S2 were evaluated. The effective atomic number of S2 showed a similar pattern to the human kidney tissue at 1.50 × 10
to 1 MeV. With the use of a 120 kVp X-ray beam, the CT number quantified for S2, as well measured 40 HU, and had the highest contrast-to-noise ratio (CNR) value. Therefore, the S2 sample formulation exhibited the potential to mimic the human kidney, as it has a similar dynamic and is higher in terms of stability as a medical phantom.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35160523</pmid><doi>10.3390/polym14030535</doi><orcidid>https://orcid.org/0000-0002-5357-4193</orcidid><orcidid>https://orcid.org/0000-0002-8266-0381</orcidid><orcidid>https://orcid.org/0000-0003-0144-8360</orcidid><orcidid>https://orcid.org/0000-0001-8870-8596</orcidid><orcidid>https://orcid.org/0000-0003-1577-4773</orcidid><orcidid>https://orcid.org/0000-0001-8562-6253</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Anthropomorphism Atomic properties Attenuation Cardiovascular disease Compression tests Compressive strength Computed tomography Dynamic stability Elastomers Evaluation Human tissues Kidney diseases Kidneys Medical imaging Noise Polydimethylsiloxane Quality standards Radiation Scanners Silicone resins Software Stability analysis Tomography |
title | Mechanical and Imaging Properties of a Clinical-Grade Kidney Phantom Based on Polydimethylsiloxane and Elastomer |
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