A statistical framework for material decomposition using multi-energy photon counting x-ray detector
Recently, material decomposition using multi energy photon counting x-ray detector (PCXD) have been one of the very active areas of researches. Even with a few success, decomposition of three materials, including malignant tissue, has been still considered a difficult problem and systematic studies...
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creator | Jiyoung Choi Dong-Goo Kang Sunghoon Kang Younghun Sung Jong Chul Ye |
description | Recently, material decomposition using multi energy photon counting x-ray detector (PCXD) have been one of the very active areas of researches. Even with a few success, decomposition of three materials, including malignant tissue, has been still considered a difficult problem and systematic studies are still required. In this paper, we propose a statistical framework for decomposition of three material using PCXD. In particular, we derive an energy level optimization algorithm using the theory of minimum variance unbiased estimator (MVUE), and iterative update of material composition as well as system parameter estimation under a unified statistical estimation framework. Experiment results using physical breast phantom as well as real ex vivo breast data confirm that the proposed algorithm can accurately decompose three materials including malignant tissue. |
doi_str_mv | 10.1109/ISBI.2012.6235801 |
format | Conference Proceeding |
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Even with a few success, decomposition of three materials, including malignant tissue, has been still considered a difficult problem and systematic studies are still required. In this paper, we propose a statistical framework for decomposition of three material using PCXD. In particular, we derive an energy level optimization algorithm using the theory of minimum variance unbiased estimator (MVUE), and iterative update of material composition as well as system parameter estimation under a unified statistical estimation framework. Experiment results using physical breast phantom as well as real ex vivo breast data confirm that the proposed algorithm can accurately decompose three materials including malignant tissue.</description><identifier>ISSN: 1945-7928</identifier><identifier>ISBN: 145771857X</identifier><identifier>ISBN: 9781457718571</identifier><identifier>EISSN: 1945-8452</identifier><identifier>EISBN: 9781457718588</identifier><identifier>EISBN: 9781457718564</identifier><identifier>EISBN: 1457718588</identifier><identifier>EISBN: 1457718561</identifier><identifier>DOI: 10.1109/ISBI.2012.6235801</identifier><language>eng</language><publisher>IEEE</publisher><subject>Attenuation ; Calibration ; Cancer ; Energy measurement ; Energy states ; material decomposition ; Materials ; Optimization ; PCXD ; statistical framework</subject><ispartof>2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012, p.1300-1303</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6235801$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6235801$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jiyoung Choi</creatorcontrib><creatorcontrib>Dong-Goo Kang</creatorcontrib><creatorcontrib>Sunghoon Kang</creatorcontrib><creatorcontrib>Younghun Sung</creatorcontrib><creatorcontrib>Jong Chul Ye</creatorcontrib><title>A statistical framework for material decomposition using multi-energy photon counting x-ray detector</title><title>2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)</title><addtitle>ISBI</addtitle><description>Recently, material decomposition using multi energy photon counting x-ray detector (PCXD) have been one of the very active areas of researches. 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Experiment results using physical breast phantom as well as real ex vivo breast data confirm that the proposed algorithm can accurately decompose three materials including malignant tissue.</description><subject>Attenuation</subject><subject>Calibration</subject><subject>Cancer</subject><subject>Energy measurement</subject><subject>Energy states</subject><subject>material decomposition</subject><subject>Materials</subject><subject>Optimization</subject><subject>PCXD</subject><subject>statistical framework</subject><issn>1945-7928</issn><issn>1945-8452</issn><isbn>145771857X</isbn><isbn>9781457718571</isbn><isbn>9781457718588</isbn><isbn>9781457718564</isbn><isbn>1457718588</isbn><isbn>1457718561</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kM1OAyEcxPErsdZ9AOOFF9gKLCxwrI0fTZp4UBNvzX9ZqGh3aYBG9-1dY53LJPPLzGEQuqJkRinRN8vn2-WMEcpmNauEIvQIFVoqyoWUVAmljtGEai5KxQU7QRf_QL6dHoDUTJ2jIqUPMkpyXhE-Qe0cpwzZp-wNbLGL0NmvED-xCxF3kG30Y9xaE7pdSD770ON98v0Gd_tt9qXtbdwMePce8khM2Pf5F36XEYaxlq3JIV6iMwfbZIuDT9Hr_d3L4rFcPT0sF_NV6RlVuRRCMeEcUCOMNlQx1kinmGYMJHHWtKbSnDjgIBrBHGklBd0qqNuG6Lox1RRd_-16a-16F30HcVgfDqt-AAANXVw</recordid><startdate>201205</startdate><enddate>201205</enddate><creator>Jiyoung Choi</creator><creator>Dong-Goo Kang</creator><creator>Sunghoon Kang</creator><creator>Younghun Sung</creator><creator>Jong Chul Ye</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201205</creationdate><title>A statistical framework for material decomposition using multi-energy photon counting x-ray detector</title><author>Jiyoung Choi ; Dong-Goo Kang ; Sunghoon Kang ; Younghun Sung ; Jong Chul Ye</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i218t-55825ffa1c5c9c1822b7f82922a70fecdc3940fa4a5b52f0d71a9d8a6db096bc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Attenuation</topic><topic>Calibration</topic><topic>Cancer</topic><topic>Energy measurement</topic><topic>Energy states</topic><topic>material decomposition</topic><topic>Materials</topic><topic>Optimization</topic><topic>PCXD</topic><topic>statistical framework</topic><toplevel>online_resources</toplevel><creatorcontrib>Jiyoung Choi</creatorcontrib><creatorcontrib>Dong-Goo Kang</creatorcontrib><creatorcontrib>Sunghoon Kang</creatorcontrib><creatorcontrib>Younghun Sung</creatorcontrib><creatorcontrib>Jong Chul Ye</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>Jiyoung Choi</au><au>Dong-Goo Kang</au><au>Sunghoon Kang</au><au>Younghun Sung</au><au>Jong Chul Ye</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A statistical framework for material decomposition using multi-energy photon counting x-ray detector</atitle><btitle>2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)</btitle><stitle>ISBI</stitle><date>2012-05</date><risdate>2012</risdate><spage>1300</spage><epage>1303</epage><pages>1300-1303</pages><issn>1945-7928</issn><eissn>1945-8452</eissn><isbn>145771857X</isbn><isbn>9781457718571</isbn><eisbn>9781457718588</eisbn><eisbn>9781457718564</eisbn><eisbn>1457718588</eisbn><eisbn>1457718561</eisbn><abstract>Recently, material decomposition using multi energy photon counting x-ray detector (PCXD) have been one of the very active areas of researches. Even with a few success, decomposition of three materials, including malignant tissue, has been still considered a difficult problem and systematic studies are still required. In this paper, we propose a statistical framework for decomposition of three material using PCXD. In particular, we derive an energy level optimization algorithm using the theory of minimum variance unbiased estimator (MVUE), and iterative update of material composition as well as system parameter estimation under a unified statistical estimation framework. Experiment results using physical breast phantom as well as real ex vivo breast data confirm that the proposed algorithm can accurately decompose three materials including malignant tissue.</abstract><pub>IEEE</pub><doi>10.1109/ISBI.2012.6235801</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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ispartof | 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012, p.1300-1303 |
issn | 1945-7928 1945-8452 |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Attenuation Calibration Cancer Energy measurement Energy states material decomposition Materials Optimization PCXD statistical framework |
title | A statistical framework for material decomposition using multi-energy photon counting x-ray detector |
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