World Wide Web interface for advanced SPECT reconstruction algorithms implemented on a remote massively parallel computer
Data from Single Photon Emission Computed Tomography (SPECT) studies are blurred by inevitable physical phenomena occurring during data acquisition. These errors may be compensated by means of reconstruction algorithms which take into account accurate physical models of the data acquisition procedur...
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Veröffentlicht in: | International journal of medical informatics (Shannon, Ireland) Ireland), 1997-11, Vol.47 (1), p.125-138 |
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container_title | International journal of medical informatics (Shannon, Ireland) |
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creator | Formiconi, A.R. Passeri, A. Guelfi, M.R. Masoni, M. Pupi, A. Meldolesi, U. Malfetti, P. Calori, L. Guidazzoli, A. |
description | Data from Single Photon Emission Computed Tomography (SPECT) studies are blurred by inevitable physical phenomena occurring during data acquisition. These errors may be compensated by means of reconstruction algorithms which take into account accurate physical models of the data acquisition procedure. Unfortunately, this approach involves high memory requirements as well as a high computational burden which cannot be afforded by the computer systems of SPECT acquisition devices. In this work the possibility of accessing High Performance Computing and Networking (HPCN) resources through a World Wide Web interface for the advanced reconstruction of SPECT data in a clinical environment was investigated. An iterative algorithm with an accurate model of the variable system response was ported on the Multiple Instruction Multiple Data (MIMD) parallel architecture of a Cray T3D massively parallel computer. The system was accessible even from low cost PC-based workstations through standard TCP/IP networking. A speedup factor of 148 was predicted by the benchmarks run on the Cray T3D. A complete brain study of 30 (64×64) slices was reconstructed from a set of 90 (64×64) projections with ten iterations of the conjugate gradients algorithm in 9 s which corresponds to an actual speed-up factor of 135. The technique was extended to a more accurate 3D modeling of the system response for a true 3D reconstruction of SPECT data; the reconstruction time of the same data set with this more accurate model was 5 min. This work demonstrates the possibility of exploiting remote HPCN resources from hospital sites by means of low cost workstations using standard communication protocols and an user-friendly WWW interface without particular problems for routine use. |
doi_str_mv | 10.1016/S1386-5056(97)00089-0 |
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These errors may be compensated by means of reconstruction algorithms which take into account accurate physical models of the data acquisition procedure. Unfortunately, this approach involves high memory requirements as well as a high computational burden which cannot be afforded by the computer systems of SPECT acquisition devices. In this work the possibility of accessing High Performance Computing and Networking (HPCN) resources through a World Wide Web interface for the advanced reconstruction of SPECT data in a clinical environment was investigated. An iterative algorithm with an accurate model of the variable system response was ported on the Multiple Instruction Multiple Data (MIMD) parallel architecture of a Cray T3D massively parallel computer. The system was accessible even from low cost PC-based workstations through standard TCP/IP networking. A speedup factor of 148 was predicted by the benchmarks run on the Cray T3D. A complete brain study of 30 (64×64) slices was reconstructed from a set of 90 (64×64) projections with ten iterations of the conjugate gradients algorithm in 9 s which corresponds to an actual speed-up factor of 135. The technique was extended to a more accurate 3D modeling of the system response for a true 3D reconstruction of SPECT data; the reconstruction time of the same data set with this more accurate model was 5 min. This work demonstrates the possibility of exploiting remote HPCN resources from hospital sites by means of low cost workstations using standard communication protocols and an user-friendly WWW interface without particular problems for routine use.</description><identifier>ISSN: 1386-5056</identifier><identifier>EISSN: 1872-8243</identifier><identifier>DOI: 10.1016/S1386-5056(97)00089-0</identifier><identifier>PMID: 9506406</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Algorithms ; Brain - anatomy & histology ; Computer aided diagnosis ; Computer Communication Networks ; Computer networks ; Computer Systems ; Computing Methodologies ; High performance computing and technology ; Humans ; Image Enhancement ; Image Processing, Computer-Assisted ; Iterative methods ; Medical computing ; Medical images ; Medical imaging ; Microcomputers ; Parallel computer ; Parallel processing systems ; Reconstruction algorithms ; Single photon emission tomography ; Software ; Time Factors ; Tomography, Emission-Computed, Single-Photon ; User-Computer Interface ; WWW</subject><ispartof>International journal of medical informatics (Shannon, Ireland), 1997-11, Vol.47 (1), p.125-138</ispartof><rights>1997 Elsevier Science B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-8095b0742509ce723e1136bf3d55da7ccbc18ce58ae3bb62f5c441ded37e73413</citedby><cites>FETCH-LOGICAL-c422t-8095b0742509ce723e1136bf3d55da7ccbc18ce58ae3bb62f5c441ded37e73413</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S1386-5056(97)00089-0$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9506406$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Formiconi, A.R.</creatorcontrib><creatorcontrib>Passeri, A.</creatorcontrib><creatorcontrib>Guelfi, M.R.</creatorcontrib><creatorcontrib>Masoni, M.</creatorcontrib><creatorcontrib>Pupi, A.</creatorcontrib><creatorcontrib>Meldolesi, U.</creatorcontrib><creatorcontrib>Malfetti, P.</creatorcontrib><creatorcontrib>Calori, L.</creatorcontrib><creatorcontrib>Guidazzoli, A.</creatorcontrib><title>World Wide Web interface for advanced SPECT reconstruction algorithms implemented on a remote massively parallel computer</title><title>International journal of medical informatics (Shannon, Ireland)</title><addtitle>Int J Med Inform</addtitle><description>Data from Single Photon Emission Computed Tomography (SPECT) studies are blurred by inevitable physical phenomena occurring during data acquisition. These errors may be compensated by means of reconstruction algorithms which take into account accurate physical models of the data acquisition procedure. Unfortunately, this approach involves high memory requirements as well as a high computational burden which cannot be afforded by the computer systems of SPECT acquisition devices. In this work the possibility of accessing High Performance Computing and Networking (HPCN) resources through a World Wide Web interface for the advanced reconstruction of SPECT data in a clinical environment was investigated. An iterative algorithm with an accurate model of the variable system response was ported on the Multiple Instruction Multiple Data (MIMD) parallel architecture of a Cray T3D massively parallel computer. The system was accessible even from low cost PC-based workstations through standard TCP/IP networking. A speedup factor of 148 was predicted by the benchmarks run on the Cray T3D. A complete brain study of 30 (64×64) slices was reconstructed from a set of 90 (64×64) projections with ten iterations of the conjugate gradients algorithm in 9 s which corresponds to an actual speed-up factor of 135. The technique was extended to a more accurate 3D modeling of the system response for a true 3D reconstruction of SPECT data; the reconstruction time of the same data set with this more accurate model was 5 min. This work demonstrates the possibility of exploiting remote HPCN resources from hospital sites by means of low cost workstations using standard communication protocols and an user-friendly WWW interface without particular problems for routine use.</description><subject>Algorithms</subject><subject>Brain - anatomy & histology</subject><subject>Computer aided diagnosis</subject><subject>Computer Communication Networks</subject><subject>Computer networks</subject><subject>Computer Systems</subject><subject>Computing Methodologies</subject><subject>High performance computing and technology</subject><subject>Humans</subject><subject>Image Enhancement</subject><subject>Image Processing, Computer-Assisted</subject><subject>Iterative methods</subject><subject>Medical computing</subject><subject>Medical images</subject><subject>Medical imaging</subject><subject>Microcomputers</subject><subject>Parallel computer</subject><subject>Parallel processing systems</subject><subject>Reconstruction algorithms</subject><subject>Single photon emission tomography</subject><subject>Software</subject><subject>Time Factors</subject><subject>Tomography, Emission-Computed, Single-Photon</subject><subject>User-Computer Interface</subject><subject>WWW</subject><issn>1386-5056</issn><issn>1872-8243</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcFq3DAURU1pSNOknxDQqrQLN0-SZdmrUoa0CQRaSMIshSw9tyqS5Ur2wPx97cy021lJcM_Ve-gUxTWFTxRoffNIeVOXAkT9oZUfAaBpS3hVXNBGsrJhFX-93P8hb4q3Of8GoBJEdV6ctwLqCuqLYr-NyVuydRbJFjvihglTrw2SPiai7U4PBi15_HG7eSIJTRzylGYzuTgQ7X_G5KZfIRMXRo8Bl7Ila7KgIU5Igs7Z7dDvyaiT9h49MTGM8zLkqjjrtc_47nheFs9fb582d-XD92_3my8PpakYm8oGWtGBrJiA1qBkHCnldddzK4TV0pjO0MagaDTyrqtZL0xVUYuWS5S8ovyyeH94d0zxz4x5UsFlg97rAeOclWxFDRzkSZCtSwhWnwYpl5S1bAHFATQp5pywV2NyQae9oqBWiepFoloNqVaqF4kKlt71ccDcBbT_W0drS_75kOPybzuHSWXjcBXlFkWTstGdmPAXBE2tdQ</recordid><startdate>19971101</startdate><enddate>19971101</enddate><creator>Formiconi, A.R.</creator><creator>Passeri, A.</creator><creator>Guelfi, M.R.</creator><creator>Masoni, M.</creator><creator>Pupi, A.</creator><creator>Meldolesi, U.</creator><creator>Malfetti, P.</creator><creator>Calori, L.</creator><creator>Guidazzoli, A.</creator><general>Elsevier Ireland Ltd</general><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>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>19971101</creationdate><title>World Wide Web interface for advanced SPECT reconstruction algorithms implemented on a remote massively parallel computer</title><author>Formiconi, A.R. ; 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These errors may be compensated by means of reconstruction algorithms which take into account accurate physical models of the data acquisition procedure. Unfortunately, this approach involves high memory requirements as well as a high computational burden which cannot be afforded by the computer systems of SPECT acquisition devices. In this work the possibility of accessing High Performance Computing and Networking (HPCN) resources through a World Wide Web interface for the advanced reconstruction of SPECT data in a clinical environment was investigated. An iterative algorithm with an accurate model of the variable system response was ported on the Multiple Instruction Multiple Data (MIMD) parallel architecture of a Cray T3D massively parallel computer. The system was accessible even from low cost PC-based workstations through standard TCP/IP networking. A speedup factor of 148 was predicted by the benchmarks run on the Cray T3D. A complete brain study of 30 (64×64) slices was reconstructed from a set of 90 (64×64) projections with ten iterations of the conjugate gradients algorithm in 9 s which corresponds to an actual speed-up factor of 135. The technique was extended to a more accurate 3D modeling of the system response for a true 3D reconstruction of SPECT data; the reconstruction time of the same data set with this more accurate model was 5 min. This work demonstrates the possibility of exploiting remote HPCN resources from hospital sites by means of low cost workstations using standard communication protocols and an user-friendly WWW interface without particular problems for routine use.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>9506406</pmid><doi>10.1016/S1386-5056(97)00089-0</doi><tpages>14</tpages></addata></record> |
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subjects | Algorithms Brain - anatomy & histology Computer aided diagnosis Computer Communication Networks Computer networks Computer Systems Computing Methodologies High performance computing and technology Humans Image Enhancement Image Processing, Computer-Assisted Iterative methods Medical computing Medical images Medical imaging Microcomputers Parallel computer Parallel processing systems Reconstruction algorithms Single photon emission tomography Software Time Factors Tomography, Emission-Computed, Single-Photon User-Computer Interface WWW |
title | World Wide Web interface for advanced SPECT reconstruction algorithms implemented on a remote massively parallel computer |
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