Coded Source Imaging for Neutrons and X-Rays

X-ray and neutron imaging techniques are powerful tools applied to a wide array of problems, like fuel cells imaging, residual stress analysis and detection of flaws in materials. These modern applications are increasingly demanding of high performing imaging devices. Coded source imaging (CSI) is a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Damato, A.L., Horn, B.K.P., Lanza, R.C.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 203
container_issue
container_start_page 199
container_title
container_volume 1
creator Damato, A.L.
Horn, B.K.P.
Lanza, R.C.
description X-ray and neutron imaging techniques are powerful tools applied to a wide array of problems, like fuel cells imaging, residual stress analysis and detection of flaws in materials. These modern applications are increasingly demanding of high performing imaging devices. Coded source imaging (CSI) is a method applied both to X-ray and neutron imaging. It consists of a source composed of a pattern of many point-like sources. We present a description of the image formation process with coded sources, via encoding and decoding of data. The signal-to-noise ratio (SNR) of the CSI imager system is discussed, as well as its resolution and field-of-view. CSI is here presented in a formalism that allows a transposition to coded aperture imaging (CAI). The implications of the relationship of the two techniques in the design of a CSI system are addressed.
doi_str_mv 10.1109/NSSMIC.2006.356138
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4178977</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4178977</ieee_id><sourcerecordid>4178977</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-99f22dd95066304b681a73ade22777a16ba6c322b5db080b7932a609a37c3a0c3</originalsourceid><addsrcrecordid>eNo1jM1Kw0AURsc_MK19Ad3MAzjxzp2fO7OUUDVQKxgFd2WSmZSIbSRpF317C-rq45wDH2PXEnIpwd8tq-q5LHIEsLkyVip3wiZSo9ZwJDhlGRoiAQ79GZt5cv8N8Jxl8uiFskZfssk4fgIgKK0zdlv0MUVe9fuhSbzchHW3XfO2H_gy7XdDvx152Eb-IV7DYbxiF234GtPsb6fs_WH-VjyJxctjWdwvRCfJ7IT3LWKM3oC1CnRtnQykQkyIRBSkrYNtFGJtYg0OavIKgwUfFDUqQKOm7Ob3t0sprb6HbhOGw0pLcp5I_QAgSkTT</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Coded Source Imaging for Neutrons and X-Rays</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Damato, A.L. ; Horn, B.K.P. ; Lanza, R.C.</creator><creatorcontrib>Damato, A.L. ; Horn, B.K.P. ; Lanza, R.C.</creatorcontrib><description>X-ray and neutron imaging techniques are powerful tools applied to a wide array of problems, like fuel cells imaging, residual stress analysis and detection of flaws in materials. These modern applications are increasingly demanding of high performing imaging devices. Coded source imaging (CSI) is a method applied both to X-ray and neutron imaging. It consists of a source composed of a pattern of many point-like sources. We present a description of the image formation process with coded sources, via encoding and decoding of data. The signal-to-noise ratio (SNR) of the CSI imager system is discussed, as well as its resolution and field-of-view. CSI is here presented in a formalism that allows a transposition to coded aperture imaging (CAI). The implications of the relationship of the two techniques in the design of a CSI system are addressed.</description><identifier>ISSN: 1082-3654</identifier><identifier>ISBN: 9781424405602</identifier><identifier>ISBN: 1424405602</identifier><identifier>EISSN: 2577-0829</identifier><identifier>EISBN: 1424405610</identifier><identifier>EISBN: 9781424405619</identifier><identifier>DOI: 10.1109/NSSMIC.2006.356138</identifier><language>eng</language><publisher>IEEE</publisher><subject>Decoding ; Fuel cells ; High-resolution imaging ; Image analysis ; Image coding ; Neutrons ; Optical imaging ; Residual stresses ; X-ray detection ; X-ray detectors</subject><ispartof>2006 IEEE Nuclear Science Symposium Conference Record, 2006, Vol.1, p.199-203</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/4178977$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4178977$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Damato, A.L.</creatorcontrib><creatorcontrib>Horn, B.K.P.</creatorcontrib><creatorcontrib>Lanza, R.C.</creatorcontrib><title>Coded Source Imaging for Neutrons and X-Rays</title><title>2006 IEEE Nuclear Science Symposium Conference Record</title><addtitle>NSSMIC</addtitle><description>X-ray and neutron imaging techniques are powerful tools applied to a wide array of problems, like fuel cells imaging, residual stress analysis and detection of flaws in materials. These modern applications are increasingly demanding of high performing imaging devices. Coded source imaging (CSI) is a method applied both to X-ray and neutron imaging. It consists of a source composed of a pattern of many point-like sources. We present a description of the image formation process with coded sources, via encoding and decoding of data. The signal-to-noise ratio (SNR) of the CSI imager system is discussed, as well as its resolution and field-of-view. CSI is here presented in a formalism that allows a transposition to coded aperture imaging (CAI). The implications of the relationship of the two techniques in the design of a CSI system are addressed.</description><subject>Decoding</subject><subject>Fuel cells</subject><subject>High-resolution imaging</subject><subject>Image analysis</subject><subject>Image coding</subject><subject>Neutrons</subject><subject>Optical imaging</subject><subject>Residual stresses</subject><subject>X-ray detection</subject><subject>X-ray detectors</subject><issn>1082-3654</issn><issn>2577-0829</issn><isbn>9781424405602</isbn><isbn>1424405602</isbn><isbn>1424405610</isbn><isbn>9781424405619</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1jM1Kw0AURsc_MK19Ad3MAzjxzp2fO7OUUDVQKxgFd2WSmZSIbSRpF317C-rq45wDH2PXEnIpwd8tq-q5LHIEsLkyVip3wiZSo9ZwJDhlGRoiAQ79GZt5cv8N8Jxl8uiFskZfssk4fgIgKK0zdlv0MUVe9fuhSbzchHW3XfO2H_gy7XdDvx152Eb-IV7DYbxiF234GtPsb6fs_WH-VjyJxctjWdwvRCfJ7IT3LWKM3oC1CnRtnQykQkyIRBSkrYNtFGJtYg0OavIKgwUfFDUqQKOm7Ob3t0sprb6HbhOGw0pLcp5I_QAgSkTT</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>Damato, A.L.</creator><creator>Horn, B.K.P.</creator><creator>Lanza, R.C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200610</creationdate><title>Coded Source Imaging for Neutrons and X-Rays</title><author>Damato, A.L. ; Horn, B.K.P. ; Lanza, R.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-99f22dd95066304b681a73ade22777a16ba6c322b5db080b7932a609a37c3a0c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Decoding</topic><topic>Fuel cells</topic><topic>High-resolution imaging</topic><topic>Image analysis</topic><topic>Image coding</topic><topic>Neutrons</topic><topic>Optical imaging</topic><topic>Residual stresses</topic><topic>X-ray detection</topic><topic>X-ray detectors</topic><toplevel>online_resources</toplevel><creatorcontrib>Damato, A.L.</creatorcontrib><creatorcontrib>Horn, B.K.P.</creatorcontrib><creatorcontrib>Lanza, R.C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Damato, A.L.</au><au>Horn, B.K.P.</au><au>Lanza, R.C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Coded Source Imaging for Neutrons and X-Rays</atitle><btitle>2006 IEEE Nuclear Science Symposium Conference Record</btitle><stitle>NSSMIC</stitle><date>2006-10</date><risdate>2006</risdate><volume>1</volume><spage>199</spage><epage>203</epage><pages>199-203</pages><issn>1082-3654</issn><eissn>2577-0829</eissn><isbn>9781424405602</isbn><isbn>1424405602</isbn><eisbn>1424405610</eisbn><eisbn>9781424405619</eisbn><abstract>X-ray and neutron imaging techniques are powerful tools applied to a wide array of problems, like fuel cells imaging, residual stress analysis and detection of flaws in materials. These modern applications are increasingly demanding of high performing imaging devices. Coded source imaging (CSI) is a method applied both to X-ray and neutron imaging. It consists of a source composed of a pattern of many point-like sources. We present a description of the image formation process with coded sources, via encoding and decoding of data. The signal-to-noise ratio (SNR) of the CSI imager system is discussed, as well as its resolution and field-of-view. CSI is here presented in a formalism that allows a transposition to coded aperture imaging (CAI). The implications of the relationship of the two techniques in the design of a CSI system are addressed.</abstract><pub>IEEE</pub><doi>10.1109/NSSMIC.2006.356138</doi><tpages>5</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1082-3654
ispartof 2006 IEEE Nuclear Science Symposium Conference Record, 2006, Vol.1, p.199-203
issn 1082-3654
2577-0829
language eng
recordid cdi_ieee_primary_4178977
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Decoding
Fuel cells
High-resolution imaging
Image analysis
Image coding
Neutrons
Optical imaging
Residual stresses
X-ray detection
X-ray detectors
title Coded Source Imaging for Neutrons and X-Rays
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T10%3A02%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Coded%20Source%20Imaging%20for%20Neutrons%20and%20X-Rays&rft.btitle=2006%20IEEE%20Nuclear%20Science%20Symposium%20Conference%20Record&rft.au=Damato,%20A.L.&rft.date=2006-10&rft.volume=1&rft.spage=199&rft.epage=203&rft.pages=199-203&rft.issn=1082-3654&rft.eissn=2577-0829&rft.isbn=9781424405602&rft.isbn_list=1424405602&rft_id=info:doi/10.1109/NSSMIC.2006.356138&rft_dat=%3Cieee_6IE%3E4178977%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424405610&rft.eisbn_list=9781424405619&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4178977&rfr_iscdi=true