Using statistical process control (SPC) to demonstrate solution convergence in a technician guided segmentation system
A method and apparatus for generating a computer model from scan data from a patient, comprising: (1) acquiring the scan data from the patient; (2) selecting a plurality of key frames from the scan data; (3) hand segmenting the selected key frames, whereby to identify specific anatomical structures;...
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creator | CHAPMAN M. WESTON CHEN DAVID T FU HAONING |
description | A method and apparatus for generating a computer model from scan data from a patient, comprising: (1) acquiring the scan data from the patient; (2) selecting a plurality of key frames from the scan data; (3) hand segmenting the selected key frames, whereby to identify specific anatomical structures; (4) automatically generating segmented intervening frames for the regions between the key frames using an interpolation process; (5) merging the automatically segmented intervening frames with the hand segmented key frames so as to generate a complete set of segmented frames; (6) obtaining a first measurement of a selected feature of the complete set of segmented frames; (7) hand segmenting at least one additional key frame and replacing a corresponding intervening frame with said one additional key frame within the complete set of segmented frames; (8) re-interpolating the set of segmented frames based upon the updated set of key frames; (9) obtaining a second measurement of the selected feature of the re-computed set of segmented frames; (10) comparing said second measurement with said first measurement; and (11) if the second measurement differs from the first measurement by a statistically significant amount, replacing the first measurement with the second measurement and repeating the process from Step 7. |
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WESTON ; CHEN DAVID T ; FU HAONING</creatorcontrib><description>A method and apparatus for generating a computer model from scan data from a patient, comprising: (1) acquiring the scan data from the patient; (2) selecting a plurality of key frames from the scan data; (3) hand segmenting the selected key frames, whereby to identify specific anatomical structures; (4) automatically generating segmented intervening frames for the regions between the key frames using an interpolation process; (5) merging the automatically segmented intervening frames with the hand segmented key frames so as to generate a complete set of segmented frames; (6) obtaining a first measurement of a selected feature of the complete set of segmented frames; (7) hand segmenting at least one additional key frame and replacing a corresponding intervening frame with said one additional key frame within the complete set of segmented frames; (8) re-interpolating the set of segmented frames based upon the updated set of key frames; (9) obtaining a second measurement of the selected feature of the re-computed set of segmented frames; (10) comparing said second measurement with said first measurement; and (11) if the second measurement differs from the first measurement by a statistically significant amount, replacing the first measurement with the second measurement and repeating the process from Step 7.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DIAGNOSIS ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SURGERY</subject><creationdate>2009</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=20090825&DB=EPODOC&CC=US&NR=7580555B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20090825&DB=EPODOC&CC=US&NR=7580555B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHAPMAN M. 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WESTON ; CHEN DAVID T ; FU HAONING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US7580555B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2009</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIAGNOSIS</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>CHAPMAN M. WESTON</creatorcontrib><creatorcontrib>CHEN DAVID T</creatorcontrib><creatorcontrib>FU HAONING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHAPMAN M. WESTON</au><au>CHEN DAVID T</au><au>FU HAONING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Using statistical process control (SPC) to demonstrate solution convergence in a technician guided segmentation system</title><date>2009-08-25</date><risdate>2009</risdate><abstract>A method and apparatus for generating a computer model from scan data from a patient, comprising: (1) acquiring the scan data from the patient; (2) selecting a plurality of key frames from the scan data; (3) hand segmenting the selected key frames, whereby to identify specific anatomical structures; (4) automatically generating segmented intervening frames for the regions between the key frames using an interpolation process; (5) merging the automatically segmented intervening frames with the hand segmented key frames so as to generate a complete set of segmented frames; (6) obtaining a first measurement of a selected feature of the complete set of segmented frames; (7) hand segmenting at least one additional key frame and replacing a corresponding intervening frame with said one additional key frame within the complete set of segmented frames; (8) re-interpolating the set of segmented frames based upon the updated set of key frames; (9) obtaining a second measurement of the selected feature of the re-computed set of segmented frames; (10) comparing said second measurement with said first measurement; and (11) if the second measurement differs from the first measurement by a statistically significant amount, replacing the first measurement with the second measurement and repeating the process from Step 7.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING DIAGNOSIS ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS HUMAN NECESSITIES HYGIENE IDENTIFICATION IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEDICAL OR VETERINARY SCIENCE PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SURGERY |
title | Using statistical process control (SPC) to demonstrate solution convergence in a technician guided segmentation system |
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