IMAGE RECONSTRUCTION METHOD, APPARATUS, AND SYSTEM IN MAGNETIC RESONANCE IMAGING, AND STORAGE MEDIUM
The present disclosure is directed to image reconstruction techniques used in magnetic resonance imaging. The techniques disclosed include calculating, for each of image reconstruction tasks to be performed, a calculation capability requirement value of the task by a magnetic resonance system, and d...
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| creator | Xiong, Jun Huang, Yan Tu |
| description | The present disclosure is directed to image reconstruction techniques used in magnetic resonance imaging. The techniques disclosed include calculating, for each of image reconstruction tasks to be performed, a calculation capability requirement value of the task by a magnetic resonance system, and determining whether the calculation capability requirement value of the task is greater than a predetermined threshold. If so, the task is sent to a shared image reconstruction apparatus, so that the shared image reconstruction apparatus performs the task. Otherwise, the task is sent to a local image reconstruction apparatus, so that the local image reconstruction apparatus performs the task. The techniques described herein facilitate a reduction in hardware cost required for image reconstruction in MRI. |
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The techniques disclosed include calculating, for each of image reconstruction tasks to be performed, a calculation capability requirement value of the task by a magnetic resonance system, and determining whether the calculation capability requirement value of the task is greater than a predetermined threshold. If so, the task is sent to a shared image reconstruction apparatus, so that the shared image reconstruction apparatus performs the task. Otherwise, the task is sent to a local image reconstruction apparatus, so that the local image reconstruction apparatus performs the task. The techniques described herein facilitate a reduction in hardware cost required for image reconstruction in MRI.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200528&DB=EPODOC&CC=US&NR=2020167973A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200528&DB=EPODOC&CC=US&NR=2020167973A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Xiong, Jun</creatorcontrib><creatorcontrib>Huang, Yan Tu</creatorcontrib><title>IMAGE RECONSTRUCTION METHOD, APPARATUS, AND SYSTEM IN MAGNETIC RESONANCE IMAGING, AND STORAGE MEDIUM</title><description>The present disclosure is directed to image reconstruction techniques used in magnetic resonance imaging. The techniques disclosed include calculating, for each of image reconstruction tasks to be performed, a calculation capability requirement value of the task by a magnetic resonance system, and determining whether the calculation capability requirement value of the task is greater than a predetermined threshold. If so, the task is sent to a shared image reconstruction apparatus, so that the shared image reconstruction apparatus performs the task. Otherwise, the task is sent to a local image reconstruction apparatus, so that the local image reconstruction apparatus performs the task. The techniques described herein facilitate a reduction in hardware cost required for image reconstruction in MRI.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjL0KwjAURrM4iPoOAVeF_oDF8ZJc2wy5KcnN0KkUjZNoob4_ttAHcPq-4ZyzFQ9joUbpUTkK7KNi40ha5Mbpk4S2BQ8cw3xJy9AFRivNDEBNyEbNYnAEpFAuIUP1SrLzS9eiNtHuxeY5vKZ0WHcnjjdk1ZzT-OnTNA739E7fPoYiK7L8Ul2rEvLyP-oHCkw1Pg</recordid><startdate>20200528</startdate><enddate>20200528</enddate><creator>Xiong, Jun</creator><creator>Huang, Yan Tu</creator><scope>EVB</scope></search><sort><creationdate>20200528</creationdate><title>IMAGE RECONSTRUCTION METHOD, APPARATUS, AND SYSTEM IN MAGNETIC RESONANCE IMAGING, AND STORAGE MEDIUM</title><author>Xiong, Jun ; Huang, Yan Tu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020167973A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiong, Jun</creatorcontrib><creatorcontrib>Huang, Yan Tu</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xiong, Jun</au><au>Huang, Yan Tu</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>IMAGE RECONSTRUCTION METHOD, APPARATUS, AND SYSTEM IN MAGNETIC RESONANCE IMAGING, AND STORAGE MEDIUM</title><date>2020-05-28</date><risdate>2020</risdate><abstract>The present disclosure is directed to image reconstruction techniques used in magnetic resonance imaging. The techniques disclosed include calculating, for each of image reconstruction tasks to be performed, a calculation capability requirement value of the task by a magnetic resonance system, and determining whether the calculation capability requirement value of the task is greater than a predetermined threshold. If so, the task is sent to a shared image reconstruction apparatus, so that the shared image reconstruction apparatus performs the task. Otherwise, the task is sent to a local image reconstruction apparatus, so that the local image reconstruction apparatus performs the task. The techniques described herein facilitate a reduction in hardware cost required for image reconstruction in MRI.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
| title | IMAGE RECONSTRUCTION METHOD, APPARATUS, AND SYSTEM IN MAGNETIC RESONANCE IMAGING, AND STORAGE MEDIUM |
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