Frequency domain method for computing missing input data for a cylindrical PET camera
Input projection data sets at nonzero tilt angles to the transverse planes may miss seeing activity at the ends of the cylindrical volume of a cylindrical positron emission tomographic (PET) camera. To use the data at these tile angles, it is necessary to compute and fill in with estimates of the mi...
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creator | Chesler, D.A. Gregoire, M.C. |
description | Input projection data sets at nonzero tilt angles to the transverse planes may miss seeing activity at the ends of the cylindrical volume of a cylindrical positron emission tomographic (PET) camera. To use the data at these tile angles, it is necessary to compute and fill in with estimates of the missing parts these data. In principle, one could make an initial reconstruction using zero-tilt-angle data, and then compute the missing data by reprojecting the initial reconstruction along the desired rays. Computer simulation results are presented of a method that computes the missing data in the frequency domain and thereby eliminates the computationally long process of forward projection. In these initial computer simulation tests the method for computing missing data worked well, producing in the reconstructed image principally a magnification of error that would have existed with no missing data.< > |
doi_str_mv | 10.1109/NSSMIC.1991.259251 |
format | Conference Proceeding |
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To use the data at these tile angles, it is necessary to compute and fill in with estimates of the missing parts these data. In principle, one could make an initial reconstruction using zero-tilt-angle data, and then compute the missing data by reprojecting the initial reconstruction along the desired rays. Computer simulation results are presented of a method that computes the missing data in the frequency domain and thereby eliminates the computationally long process of forward projection. In these initial computer simulation tests the method for computing missing data worked well, producing in the reconstructed image principally a magnification of error that would have existed with no missing data.< ></description><identifier>ISBN: 0780305132</identifier><identifier>ISBN: 9780780305137</identifier><identifier>DOI: 10.1109/NSSMIC.1991.259251</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cameras ; Computer simulation ; Fourier transforms ; Frequency domain analysis ; Hospitals ; Image reconstruction ; Laboratories ; Physics computing ; Positron emission tomography ; Radioactive decay</subject><ispartof>Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference, 1991, p.1924-1925 vol.3</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/259251$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4040,4041,27916,54911</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/259251$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chesler, D.A.</creatorcontrib><creatorcontrib>Gregoire, M.C.</creatorcontrib><title>Frequency domain method for computing missing input data for a cylindrical PET camera</title><title>Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference</title><addtitle>NSSMIC</addtitle><description>Input projection data sets at nonzero tilt angles to the transverse planes may miss seeing activity at the ends of the cylindrical volume of a cylindrical positron emission tomographic (PET) camera. To use the data at these tile angles, it is necessary to compute and fill in with estimates of the missing parts these data. In principle, one could make an initial reconstruction using zero-tilt-angle data, and then compute the missing data by reprojecting the initial reconstruction along the desired rays. Computer simulation results are presented of a method that computes the missing data in the frequency domain and thereby eliminates the computationally long process of forward projection. In these initial computer simulation tests the method for computing missing data worked well, producing in the reconstructed image principally a magnification of error that would have existed with no missing data.< ></description><subject>Cameras</subject><subject>Computer simulation</subject><subject>Fourier transforms</subject><subject>Frequency domain analysis</subject><subject>Hospitals</subject><subject>Image reconstruction</subject><subject>Laboratories</subject><subject>Physics computing</subject><subject>Positron emission tomography</subject><subject>Radioactive decay</subject><isbn>0780305132</isbn><isbn>9780780305137</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1991</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT81OwzAYi4SQgLEX2Ckv0PJ9SdM2R1QNmDR-pI3zlOYHgpp2JN2hb09h-GLJtmyZkBVCjgjy7mW3e940OUqJOROSCbwgN1DVwEEgZ1dkmdIXzBCinu1r8v4Q7ffJ9nqiZgjK9zTY8XMw1A2R6iEcT6PvP2jwKf2y72eBGjWqv4Cieup8b6LXqqNv6z3VKtiobsmlU12yy39ezDvrffOUbV8fN839NvMIxZhx1spK8tKUUItSFrrFVrlCcsYM2qIWDjQYgAJLx7GSrTFgBUfNrBZl7fiCrM693lp7OEYfVJwO5-P8Bx-jTtg</recordid><startdate>1991</startdate><enddate>1991</enddate><creator>Chesler, D.A.</creator><creator>Gregoire, M.C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1991</creationdate><title>Frequency domain method for computing missing input data for a cylindrical PET camera</title><author>Chesler, D.A. ; Gregoire, M.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-32b97936d6085694cb1baf49322d1e485f0c0d00416f3179bdd0e531c2ec568f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1991</creationdate><topic>Cameras</topic><topic>Computer simulation</topic><topic>Fourier transforms</topic><topic>Frequency domain analysis</topic><topic>Hospitals</topic><topic>Image reconstruction</topic><topic>Laboratories</topic><topic>Physics computing</topic><topic>Positron emission tomography</topic><topic>Radioactive decay</topic><toplevel>online_resources</toplevel><creatorcontrib>Chesler, D.A.</creatorcontrib><creatorcontrib>Gregoire, M.C.</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>Chesler, D.A.</au><au>Gregoire, M.C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Frequency domain method for computing missing input data for a cylindrical PET camera</atitle><btitle>Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference</btitle><stitle>NSSMIC</stitle><date>1991</date><risdate>1991</risdate><spage>1924</spage><epage>1925 vol.3</epage><pages>1924-1925 vol.3</pages><isbn>0780305132</isbn><isbn>9780780305137</isbn><abstract>Input projection data sets at nonzero tilt angles to the transverse planes may miss seeing activity at the ends of the cylindrical volume of a cylindrical positron emission tomographic (PET) camera. To use the data at these tile angles, it is necessary to compute and fill in with estimates of the missing parts these data. In principle, one could make an initial reconstruction using zero-tilt-angle data, and then compute the missing data by reprojecting the initial reconstruction along the desired rays. Computer simulation results are presented of a method that computes the missing data in the frequency domain and thereby eliminates the computationally long process of forward projection. In these initial computer simulation tests the method for computing missing data worked well, producing in the reconstructed image principally a magnification of error that would have existed with no missing data.< ></abstract><pub>IEEE</pub><doi>10.1109/NSSMIC.1991.259251</doi></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Cameras Computer simulation Fourier transforms Frequency domain analysis Hospitals Image reconstruction Laboratories Physics computing Positron emission tomography Radioactive decay |
title | Frequency domain method for computing missing input data for a cylindrical PET camera |
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