An estimation of noise levels in HMPAO RCBF SPECT images using simulation and phantom data; comparison with results obtained from repeated normal controls
The purpose of this work was to determine noise levels in HMPAO RCBF SPECT images. Eight simulated images of a uniform sphere of activity were made at each of three different count levels. Three images of the Amersham brain phantom were obtained at each of three count levels, roughly corresponding t...
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Veröffentlicht in: | Physics in medicine & biology 1994-05, Vol.39 (5), p.873-884 |
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description | The purpose of this work was to determine noise levels in HMPAO RCBF SPECT images. Eight simulated images of a uniform sphere of activity were made at each of three different count levels. Three images of the Amersham brain phantom were obtained at each of three count levels, roughly corresponding to the simulation levels. Image reconstruction involved a modified Shepp-Logan filter with and without attenuation correction. The scaling constant in the Budinger equation was shown to vary little over the count range used with a mean value of 23 for uncorrected phantom data and 27 for corrected phantom data, corresponding to RMS noise levels of 7%-15%. The variance due to noise was calculated as a percentage of the variance obtained for 53 normal control studies following image registration and normalization. Values of 54% for uncorrected images and 67% for corrected images were obtained. For 10 normal controls a repeated study was performed. The ratio of within-subject to (single sample) between-subject variance was determined as 73% for uncorrected images and 78% for corrected images. |
doi_str_mv | 10.1088/0031-9155/39/5/006 |
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Eight simulated images of a uniform sphere of activity were made at each of three different count levels. Three images of the Amersham brain phantom were obtained at each of three count levels, roughly corresponding to the simulation levels. Image reconstruction involved a modified Shepp-Logan filter with and without attenuation correction. The scaling constant in the Budinger equation was shown to vary little over the count range used with a mean value of 23 for uncorrected phantom data and 27 for corrected phantom data, corresponding to RMS noise levels of 7%-15%. The variance due to noise was calculated as a percentage of the variance obtained for 53 normal control studies following image registration and normalization. Values of 54% for uncorrected images and 67% for corrected images were obtained. For 10 normal controls a repeated study was performed. The ratio of within-subject to (single sample) between-subject variance was determined as 73% for uncorrected images and 78% for corrected images.</description><identifier>ISSN: 0031-9155</identifier><identifier>EISSN: 1361-6560</identifier><identifier>DOI: 10.1088/0031-9155/39/5/006</identifier><identifier>PMID: 15552090</identifier><identifier>CODEN: PHMBA7</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Algorithms ; Biological and medical sciences ; Brain - blood supply ; Brain - diagnostic imaging ; Computer Simulation ; Humans ; Image Enhancement - methods ; Image Enhancement - standards ; Image Interpretation, Computer-Assisted - methods ; Image Interpretation, Computer-Assisted - standards ; Investigative techniques, diagnostic techniques (general aspects) ; Medical sciences ; Miscellaneous. Technology ; Models, Biological ; Models, Statistical ; Phantoms, Imaging ; Radionuclide investigations ; Radiopharmaceuticals ; Reference Values ; Reproducibility of Results ; Sensitivity and Specificity ; Stochastic Processes ; Technetium Tc 99m Exametazime ; Tomography, Emission-Computed, Single-Photon - instrumentation ; Tomography, Emission-Computed, Single-Photon - methods ; Tomography, Emission-Computed, Single-Photon - standards</subject><ispartof>Physics in medicine & biology, 1994-05, Vol.39 (5), p.873-884</ispartof><rights>1994 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-31bc2a6aa42f75bc460602e2e7f9e5fc5d886666abf825814e700b3e0c6f89d83</citedby><cites>FETCH-LOGICAL-c400t-31bc2a6aa42f75bc460602e2e7f9e5fc5d886666abf825814e700b3e0c6f89d83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/0031-9155/39/5/006/pdf$$EPDF$$P50$$Giop$$H</linktopdf><link.rule.ids>314,776,780,27901,27902,53805,53885</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=4158145$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15552090$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Houston, A S</creatorcontrib><creatorcontrib>Kemp, P M</creatorcontrib><creatorcontrib>Griffiths, P T</creatorcontrib><creatorcontrib>MacLeod, M A</creatorcontrib><title>An estimation of noise levels in HMPAO RCBF SPECT images using simulation and phantom data; comparison with results obtained from repeated normal controls</title><title>Physics in medicine & biology</title><addtitle>Phys Med Biol</addtitle><description>The purpose of this work was to determine noise levels in HMPAO RCBF SPECT images. Eight simulated images of a uniform sphere of activity were made at each of three different count levels. Three images of the Amersham brain phantom were obtained at each of three count levels, roughly corresponding to the simulation levels. Image reconstruction involved a modified Shepp-Logan filter with and without attenuation correction. The scaling constant in the Budinger equation was shown to vary little over the count range used with a mean value of 23 for uncorrected phantom data and 27 for corrected phantom data, corresponding to RMS noise levels of 7%-15%. The variance due to noise was calculated as a percentage of the variance obtained for 53 normal control studies following image registration and normalization. Values of 54% for uncorrected images and 67% for corrected images were obtained. For 10 normal controls a repeated study was performed. The ratio of within-subject to (single sample) between-subject variance was determined as 73% for uncorrected images and 78% for corrected images.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Brain - blood supply</subject><subject>Brain - diagnostic imaging</subject><subject>Computer Simulation</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Enhancement - standards</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image Interpretation, Computer-Assisted - standards</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Medical sciences</subject><subject>Miscellaneous. Technology</subject><subject>Models, Biological</subject><subject>Models, Statistical</subject><subject>Phantoms, Imaging</subject><subject>Radionuclide investigations</subject><subject>Radiopharmaceuticals</subject><subject>Reference Values</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Stochastic Processes</subject><subject>Technetium Tc 99m Exametazime</subject><subject>Tomography, Emission-Computed, Single-Photon - instrumentation</subject><subject>Tomography, Emission-Computed, Single-Photon - methods</subject><subject>Tomography, Emission-Computed, Single-Photon - standards</subject><issn>0031-9155</issn><issn>1361-6560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kcFu1DAQhi0EotuWF-CAfECVeghrJ7GTiNOyailSq1ZQzpbj2K2RYwePU8Sr8LQ42tVyqIQv1u_5_vHoH4TeUvKBkrZdE1LRoqOMratuzbLkL9CKVpwWnHHyEq0OwBE6BvhBCKVtWb9GR_mJlaQjK_Rn47GGZEeZbPA4GOyDBY2dftIOsPX46uZuc4u_bj9d4m93F9t7nNkHDXgG6x8w2HF2O6_0A54epU9hxINM8iNWYZxktJCLv2x6xFHD7BLg0CdpvR6wiZmNetIyZeVDHKXLLp9icHCKXhnpQL_Z3yfo--XF_faquL79_GW7uS5UTUgqKtqrUnIp69I0rFc1J5yUutSN6TQzig1ty_ORvWlL1tJaN4T0lSaKm7Yb2uoEne36TjH8nHMYYrSgtHPS6zCDaBpKc3QLWO5AFQNA1EZMMYcRfwtKxLIRsQQulsBF1QmWJc-md_vucz_q4Z9lv4IMvN8DEpR0JkqvLBy4mi4zs4yd7zAbpkPx-X9iGkxmi-fsf2b8C643rww</recordid><startdate>19940501</startdate><enddate>19940501</enddate><creator>Houston, A S</creator><creator>Kemp, P M</creator><creator>Griffiths, P T</creator><creator>MacLeod, M A</creator><general>IOP Publishing</general><general>Institute of Physics</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>19940501</creationdate><title>An estimation of noise levels in HMPAO RCBF SPECT images using simulation and phantom data; comparison with results obtained from repeated normal controls</title><author>Houston, A S ; Kemp, P M ; Griffiths, P T ; MacLeod, M A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-31bc2a6aa42f75bc460602e2e7f9e5fc5d886666abf825814e700b3e0c6f89d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Brain - blood supply</topic><topic>Brain - diagnostic imaging</topic><topic>Computer Simulation</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Enhancement - standards</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Image Interpretation, Computer-Assisted - standards</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Medical sciences</topic><topic>Miscellaneous. Technology</topic><topic>Models, Biological</topic><topic>Models, Statistical</topic><topic>Phantoms, Imaging</topic><topic>Radionuclide investigations</topic><topic>Radiopharmaceuticals</topic><topic>Reference Values</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Stochastic Processes</topic><topic>Technetium Tc 99m Exametazime</topic><topic>Tomography, Emission-Computed, Single-Photon - instrumentation</topic><topic>Tomography, Emission-Computed, Single-Photon - methods</topic><topic>Tomography, Emission-Computed, Single-Photon - standards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Houston, A S</creatorcontrib><creatorcontrib>Kemp, P M</creatorcontrib><creatorcontrib>Griffiths, P T</creatorcontrib><creatorcontrib>MacLeod, M A</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Physics in medicine & biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Houston, A S</au><au>Kemp, P M</au><au>Griffiths, P T</au><au>MacLeod, M A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An estimation of noise levels in HMPAO RCBF SPECT images using simulation and phantom data; comparison with results obtained from repeated normal controls</atitle><jtitle>Physics in medicine & biology</jtitle><addtitle>Phys Med Biol</addtitle><date>1994-05-01</date><risdate>1994</risdate><volume>39</volume><issue>5</issue><spage>873</spage><epage>884</epage><pages>873-884</pages><issn>0031-9155</issn><eissn>1361-6560</eissn><coden>PHMBA7</coden><abstract>The purpose of this work was to determine noise levels in HMPAO RCBF SPECT images. Eight simulated images of a uniform sphere of activity were made at each of three different count levels. Three images of the Amersham brain phantom were obtained at each of three count levels, roughly corresponding to the simulation levels. Image reconstruction involved a modified Shepp-Logan filter with and without attenuation correction. The scaling constant in the Budinger equation was shown to vary little over the count range used with a mean value of 23 for uncorrected phantom data and 27 for corrected phantom data, corresponding to RMS noise levels of 7%-15%. The variance due to noise was calculated as a percentage of the variance obtained for 53 normal control studies following image registration and normalization. Values of 54% for uncorrected images and 67% for corrected images were obtained. For 10 normal controls a repeated study was performed. The ratio of within-subject to (single sample) between-subject variance was determined as 73% for uncorrected images and 78% for corrected images.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><pmid>15552090</pmid><doi>10.1088/0031-9155/39/5/006</doi><tpages>12</tpages></addata></record> |
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subjects | Algorithms Biological and medical sciences Brain - blood supply Brain - diagnostic imaging Computer Simulation Humans Image Enhancement - methods Image Enhancement - standards Image Interpretation, Computer-Assisted - methods Image Interpretation, Computer-Assisted - standards Investigative techniques, diagnostic techniques (general aspects) Medical sciences Miscellaneous. Technology Models, Biological Models, Statistical Phantoms, Imaging Radionuclide investigations Radiopharmaceuticals Reference Values Reproducibility of Results Sensitivity and Specificity Stochastic Processes Technetium Tc 99m Exametazime Tomography, Emission-Computed, Single-Photon - instrumentation Tomography, Emission-Computed, Single-Photon - methods Tomography, Emission-Computed, Single-Photon - standards |
title | An estimation of noise levels in HMPAO RCBF SPECT images using simulation and phantom data; comparison with results obtained from repeated normal controls |
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