Discrete mathematical model of chest thickness using kernel function for optimum kVp and mAs of computed radiography
The plain chest radiograph is the basic tool in diagnosis and follow-up patients in general times with inexpensive imaging and to demonstrate pathological lesions. Selection an optimum kVp and mAs for the thickness of the Patient can give a qualified radiography and accurate diagnosis. The aim of th...
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| creator | Yimman, S. S. S. Dejhan, R. B. K. |
| description | The plain chest radiograph is the basic tool in diagnosis and follow-up patients in general times with inexpensive imaging and to demonstrate pathological lesions. Selection an optimum kVp and mAs for the thickness of the Patient can give a qualified radiography and accurate diagnosis. The aim of this study is designing the mathematical model in polynomial equation by using kernel function and least square approximation. And the polynomial equation implemented by the AVR Mega 32 microcontroller for calculating the optimum kVp and mAs. The results of this study has shown that this equipment show the properly value of the optimum exposure and the patient's thickness and which it has an accurate and efficiency. So, this equipment is properly use for radiographic diagnosis with high performance. |
| doi_str_mv | 10.1109/BMEiCon.2012.6172061 |
| format | Conference Proceeding |
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So, this equipment is properly use for radiographic diagnosis with high performance.</description><identifier>ISBN: 9781457721892</identifier><identifier>ISBN: 1457721899</identifier><identifier>EISBN: 9781457721908</identifier><identifier>EISBN: 1457721880</identifier><identifier>EISBN: 9781457721885</identifier><identifier>EISBN: 1457721902</identifier><identifier>DOI: 10.1109/BMEiCon.2012.6172061</identifier><language>eng</language><publisher>IEEE</publisher><subject>approximation ; Diagnostic radiography ; Kernel ; Kernel function ; kVp ; least square ; Least squares approximation ; mAs ; Mathematical model ; Microcontroller ; Polynomials ; Thickness measurement</subject><ispartof>The 4th 2011 Biomedical Engineering International Conference, 2012, p.242-245</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6172061$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6172061$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yimman, S. 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The results of this study has shown that this equipment show the properly value of the optimum exposure and the patient's thickness and which it has an accurate and efficiency. So, this equipment is properly use for radiographic diagnosis with high performance.</description><subject>approximation</subject><subject>Diagnostic radiography</subject><subject>Kernel</subject><subject>Kernel function</subject><subject>kVp</subject><subject>least square</subject><subject>Least squares approximation</subject><subject>mAs</subject><subject>Mathematical model</subject><subject>Microcontroller</subject><subject>Polynomials</subject><subject>Thickness measurement</subject><isbn>9781457721892</isbn><isbn>1457721899</isbn><isbn>9781457721908</isbn><isbn>1457721880</isbn><isbn>9781457721885</isbn><isbn>1457721902</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNUE1LAzEUjIig1P4CPeQPtL5kt8nmWGv9gIqX4rWkydtubJMsSfbQf--iHpyBNwwDA28IuWcwZwzUw-P72q1imHNgfC6Y5CDYBZkq2bB6ISVnCprL_75R_JpMc_6CEUIsalbdkPLksklYkHpdOhyPM_pEfbR4orGlpsNcaOmcOQbMmQ7ZhQM9Ygpj3g7BFBcDbWOisS_OD54eP3uqg6V-mX8Kou-HgpYmbV08JN1351ty1epTxumfTsj2eb1dvc42Hy9vq-Vm5hSUGWKr900tK1MBLASAHQmC63pvFDeaC4lG72UtKhS8bsb_hGmFtoIBb6yqJuTut9Yh4q5Pzut03v1NVX0D6Edfew</recordid><startdate>201201</startdate><enddate>201201</enddate><creator>Yimman, S. S. S.</creator><creator>Dejhan, R. B. K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201201</creationdate><title>Discrete mathematical model of chest thickness using kernel function for optimum kVp and mAs of computed radiography</title><author>Yimman, S. S. S. ; Dejhan, R. B. K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-eefab8473c3005600d0d0062a4bc92ca267ecab7463e62488926cf6ad61028d93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>approximation</topic><topic>Diagnostic radiography</topic><topic>Kernel</topic><topic>Kernel function</topic><topic>kVp</topic><topic>least square</topic><topic>Least squares approximation</topic><topic>mAs</topic><topic>Mathematical model</topic><topic>Microcontroller</topic><topic>Polynomials</topic><topic>Thickness measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Yimman, S. S. S.</creatorcontrib><creatorcontrib>Dejhan, R. B. K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yimman, S. S. S.</au><au>Dejhan, R. B. K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Discrete mathematical model of chest thickness using kernel function for optimum kVp and mAs of computed radiography</atitle><btitle>The 4th 2011 Biomedical Engineering International Conference</btitle><stitle>BMEiCon</stitle><date>2012-01</date><risdate>2012</risdate><spage>242</spage><epage>245</epage><pages>242-245</pages><isbn>9781457721892</isbn><isbn>1457721899</isbn><eisbn>9781457721908</eisbn><eisbn>1457721880</eisbn><eisbn>9781457721885</eisbn><eisbn>1457721902</eisbn><abstract>The plain chest radiograph is the basic tool in diagnosis and follow-up patients in general times with inexpensive imaging and to demonstrate pathological lesions. Selection an optimum kVp and mAs for the thickness of the Patient can give a qualified radiography and accurate diagnosis. The aim of this study is designing the mathematical model in polynomial equation by using kernel function and least square approximation. And the polynomial equation implemented by the AVR Mega 32 microcontroller for calculating the optimum kVp and mAs. The results of this study has shown that this equipment show the properly value of the optimum exposure and the patient's thickness and which it has an accurate and efficiency. So, this equipment is properly use for radiographic diagnosis with high performance.</abstract><pub>IEEE</pub><doi>10.1109/BMEiCon.2012.6172061</doi><tpages>4</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | approximation Diagnostic radiography Kernel Kernel function kVp least square Least squares approximation mAs Mathematical model Microcontroller Polynomials Thickness measurement |
| title | Discrete mathematical model of chest thickness using kernel function for optimum kVp and mAs of computed radiography |
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