Lookup table-based simulation of directly-converting counting X-ray detectors for computed tomography
Medical computed tomography (CT) can benefit from directly-converting counting detectors. As yet there is little expertise with this type of detectors in commercially available clinical CT systems, a precise detector model is required for developing such a system. We introduce a lookup table-based s...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2593 |
---|---|
container_issue | |
container_start_page | 2588 |
container_title | |
container_volume | |
creator | Balda, M. Niederlohner, D. Kreisler, B. Durst, J. Heismann, B. |
description | Medical computed tomography (CT) can benefit from directly-converting counting detectors. As yet there is little expertise with this type of detectors in commercially available clinical CT systems, a precise detector model is required for developing such a system. We introduce a lookup table-based simulation of counting detectors on X-ray photon level that allows studying the influence of detector parameters and efficiently evaluating proposed designs. It uses energy-resolved sinograms of incoming X-ray photons as input data and generates photon counts for each channel and reading. The effects of Poisson noise, photon interactions, pulse generation, read-out electronics and electrode signal processing are covered. The photon interaction data as well as signal characteristics are provided in the form of detector-specific lookup tables. This approach offers the precision of Monte-Carlo simulations and the efficiency of model-based descriptions. Unlike standard Monte-Carlo simulations, it is capable of simulating whole CT-scans in a reasonable amount of time on a standard workstation. Due to this efficiency, the influence of detector parameters on image quality in the reconstructed image domain can be evaluated. The simulation is verified against measured data. |
doi_str_mv | 10.1109/NSSMIC.2009.5402016 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5402016</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5402016</ieee_id><sourcerecordid>5402016</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-c4ed896f3bc57fb565a0440252649e231f149eaf08a73b8273302116126270a23</originalsourceid><addsrcrecordid>eNpVkMtOwzAURM1LopR-QTf-ARe_HS9RxaNSgUVBYlc5iV0MSRw5DlL-Hgu6YTWjO6Mj3QFgSfCKEKxvnne7p816RTHWK8ExxUSegIVWBeGUc6YlJadgRoVSCBdUn_3LCD8HM5LviEnBL8HVMHzizGCcz4DdhvA19jCZsrGoNIOt4eDbsTHJhw4GB2sfbZWaCVWh-7Yx-e4AqzB2v-YdRTPB2qZcCXGALsQctv2YMieFNhyi6T-ma3DhTDPYxVHn4O3-7nX9iLYvD5v17RZ5okRCFbd1oaVjZSWUK4UUBvP8rqCSa0sZcSSrcbgwipUFVYxhSogkVFKFDWVzsPzjemvtvo--NXHaHxdjP5voXCQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Lookup table-based simulation of directly-converting counting X-ray detectors for computed tomography</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Balda, M. ; Niederlohner, D. ; Kreisler, B. ; Durst, J. ; Heismann, B.</creator><creatorcontrib>Balda, M. ; Niederlohner, D. ; Kreisler, B. ; Durst, J. ; Heismann, B.</creatorcontrib><description>Medical computed tomography (CT) can benefit from directly-converting counting detectors. As yet there is little expertise with this type of detectors in commercially available clinical CT systems, a precise detector model is required for developing such a system. We introduce a lookup table-based simulation of counting detectors on X-ray photon level that allows studying the influence of detector parameters and efficiently evaluating proposed designs. It uses energy-resolved sinograms of incoming X-ray photons as input data and generates photon counts for each channel and reading. The effects of Poisson noise, photon interactions, pulse generation, read-out electronics and electrode signal processing are covered. The photon interaction data as well as signal characteristics are provided in the form of detector-specific lookup tables. This approach offers the precision of Monte-Carlo simulations and the efficiency of model-based descriptions. Unlike standard Monte-Carlo simulations, it is capable of simulating whole CT-scans in a reasonable amount of time on a standard workstation. Due to this efficiency, the influence of detector parameters on image quality in the reconstructed image domain can be evaluated. The simulation is verified against measured data.</description><identifier>ISSN: 1082-3654</identifier><identifier>ISBN: 9781424439614</identifier><identifier>ISBN: 1424439612</identifier><identifier>EISSN: 2577-0829</identifier><identifier>EISBN: 9781424439621</identifier><identifier>EISBN: 1424439620</identifier><identifier>DOI: 10.1109/NSSMIC.2009.5402016</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biomedical imaging ; Computational modeling ; Computed tomography ; Medical simulation ; Noise generators ; Pulse generation ; Table lookup ; X-ray detection ; X-ray detectors ; X-ray imaging</subject><ispartof>2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC), 2009, p.2588-2593</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/5402016$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5402016$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Balda, M.</creatorcontrib><creatorcontrib>Niederlohner, D.</creatorcontrib><creatorcontrib>Kreisler, B.</creatorcontrib><creatorcontrib>Durst, J.</creatorcontrib><creatorcontrib>Heismann, B.</creatorcontrib><title>Lookup table-based simulation of directly-converting counting X-ray detectors for computed tomography</title><title>2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)</title><addtitle>NSSMIC</addtitle><description>Medical computed tomography (CT) can benefit from directly-converting counting detectors. As yet there is little expertise with this type of detectors in commercially available clinical CT systems, a precise detector model is required for developing such a system. We introduce a lookup table-based simulation of counting detectors on X-ray photon level that allows studying the influence of detector parameters and efficiently evaluating proposed designs. It uses energy-resolved sinograms of incoming X-ray photons as input data and generates photon counts for each channel and reading. The effects of Poisson noise, photon interactions, pulse generation, read-out electronics and electrode signal processing are covered. The photon interaction data as well as signal characteristics are provided in the form of detector-specific lookup tables. This approach offers the precision of Monte-Carlo simulations and the efficiency of model-based descriptions. Unlike standard Monte-Carlo simulations, it is capable of simulating whole CT-scans in a reasonable amount of time on a standard workstation. Due to this efficiency, the influence of detector parameters on image quality in the reconstructed image domain can be evaluated. The simulation is verified against measured data.</description><subject>Biomedical imaging</subject><subject>Computational modeling</subject><subject>Computed tomography</subject><subject>Medical simulation</subject><subject>Noise generators</subject><subject>Pulse generation</subject><subject>Table lookup</subject><subject>X-ray detection</subject><subject>X-ray detectors</subject><subject>X-ray imaging</subject><issn>1082-3654</issn><issn>2577-0829</issn><isbn>9781424439614</isbn><isbn>1424439612</isbn><isbn>9781424439621</isbn><isbn>1424439620</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMtOwzAURM1LopR-QTf-ARe_HS9RxaNSgUVBYlc5iV0MSRw5DlL-Hgu6YTWjO6Mj3QFgSfCKEKxvnne7p816RTHWK8ExxUSegIVWBeGUc6YlJadgRoVSCBdUn_3LCD8HM5LviEnBL8HVMHzizGCcz4DdhvA19jCZsrGoNIOt4eDbsTHJhw4GB2sfbZWaCVWh-7Yx-e4AqzB2v-YdRTPB2qZcCXGALsQctv2YMieFNhyi6T-ma3DhTDPYxVHn4O3-7nX9iLYvD5v17RZ5okRCFbd1oaVjZSWUK4UUBvP8rqCSa0sZcSSrcbgwipUFVYxhSogkVFKFDWVzsPzjemvtvo--NXHaHxdjP5voXCQ</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Balda, M.</creator><creator>Niederlohner, D.</creator><creator>Kreisler, B.</creator><creator>Durst, J.</creator><creator>Heismann, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200910</creationdate><title>Lookup table-based simulation of directly-converting counting X-ray detectors for computed tomography</title><author>Balda, M. ; Niederlohner, D. ; Kreisler, B. ; Durst, J. ; Heismann, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-c4ed896f3bc57fb565a0440252649e231f149eaf08a73b8273302116126270a23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Biomedical imaging</topic><topic>Computational modeling</topic><topic>Computed tomography</topic><topic>Medical simulation</topic><topic>Noise generators</topic><topic>Pulse generation</topic><topic>Table lookup</topic><topic>X-ray detection</topic><topic>X-ray detectors</topic><topic>X-ray imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Balda, M.</creatorcontrib><creatorcontrib>Niederlohner, D.</creatorcontrib><creatorcontrib>Kreisler, B.</creatorcontrib><creatorcontrib>Durst, J.</creatorcontrib><creatorcontrib>Heismann, B.</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>Balda, M.</au><au>Niederlohner, D.</au><au>Kreisler, B.</au><au>Durst, J.</au><au>Heismann, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Lookup table-based simulation of directly-converting counting X-ray detectors for computed tomography</atitle><btitle>2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)</btitle><stitle>NSSMIC</stitle><date>2009-10</date><risdate>2009</risdate><spage>2588</spage><epage>2593</epage><pages>2588-2593</pages><issn>1082-3654</issn><eissn>2577-0829</eissn><isbn>9781424439614</isbn><isbn>1424439612</isbn><eisbn>9781424439621</eisbn><eisbn>1424439620</eisbn><abstract>Medical computed tomography (CT) can benefit from directly-converting counting detectors. As yet there is little expertise with this type of detectors in commercially available clinical CT systems, a precise detector model is required for developing such a system. We introduce a lookup table-based simulation of counting detectors on X-ray photon level that allows studying the influence of detector parameters and efficiently evaluating proposed designs. It uses energy-resolved sinograms of incoming X-ray photons as input data and generates photon counts for each channel and reading. The effects of Poisson noise, photon interactions, pulse generation, read-out electronics and electrode signal processing are covered. The photon interaction data as well as signal characteristics are provided in the form of detector-specific lookup tables. This approach offers the precision of Monte-Carlo simulations and the efficiency of model-based descriptions. Unlike standard Monte-Carlo simulations, it is capable of simulating whole CT-scans in a reasonable amount of time on a standard workstation. Due to this efficiency, the influence of detector parameters on image quality in the reconstructed image domain can be evaluated. The simulation is verified against measured data.</abstract><pub>IEEE</pub><doi>10.1109/NSSMIC.2009.5402016</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1082-3654 |
ispartof | 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC), 2009, p.2588-2593 |
issn | 1082-3654 2577-0829 |
language | eng |
recordid | cdi_ieee_primary_5402016 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Biomedical imaging Computational modeling Computed tomography Medical simulation Noise generators Pulse generation Table lookup X-ray detection X-ray detectors X-ray imaging |
title | Lookup table-based simulation of directly-converting counting X-ray detectors for computed tomography |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T11%3A52%3A39IST&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=Lookup%20table-based%20simulation%20of%20directly-converting%20counting%20X-ray%20detectors%20for%20computed%20tomography&rft.btitle=2009%20IEEE%20Nuclear%20Science%20Symposium%20Conference%20Record%20(NSS/MIC)&rft.au=Balda,%20M.&rft.date=2009-10&rft.spage=2588&rft.epage=2593&rft.pages=2588-2593&rft.issn=1082-3654&rft.eissn=2577-0829&rft.isbn=9781424439614&rft.isbn_list=1424439612&rft_id=info:doi/10.1109/NSSMIC.2009.5402016&rft_dat=%3Cieee_6IE%3E5402016%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424439621&rft.eisbn_list=1424439620&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5402016&rfr_iscdi=true |