{"id":"https://openalex.org/W2860702355","doi":"https://doi.org/10.1080/21681163.2018.1492971","title":"Comparison of automated post-processing techniques for measurement of body surface area from 3D photonic scans","display_name":"Comparison of automated post-processing techniques for measurement of body surface area from 3D photonic scans","publication_year":2018,"publication_date":"2018-07-09","ids":{"openalex":"https://openalex.org/W2860702355","doi":"https://doi.org/10.1080/21681163.2018.1492971","mag":"2860702355"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2018.1492971","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2018.1492971","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/dbb7e723-66d1-47cc-8acc-6b2fdcb78da0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058649577","display_name":"Chuang\u2010Yuan Chiu","orcid":"https://orcid.org/0000-0002-6512-0084"},"institutions":[{"id":"https://openalex.org/I71422933","display_name":"Sheffield Hallam University","ror":"https://ror.org/019wt1929","country_code":"GB","type":"education","lineage":["https://openalex.org/I71422933"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Chuang-Yuan Chiu","raw_affiliation_strings":["Centre for Sports Engineering Research, Sheffield Hallam University, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Sports Engineering Research, Sheffield Hallam University, Sheffield, UK","institution_ids":["https://openalex.org/I71422933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047747227","display_name":"David L. Pease","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David L. Pease","raw_affiliation_strings":["Australian Institute of Sport, Movement Science, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Australian Institute of Sport, Movement Science, Canberra, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076078132","display_name":"Samantha Fawkner","orcid":"https://orcid.org/0000-0003-4056-4989"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Samantha Fawkner","raw_affiliation_strings":["Institute for Sport, Physical Education & Health Sciences, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Institute for Sport, Physical Education & Health Sciences, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071938481","display_name":"Marcus Dunn","orcid":"https://orcid.org/0000-0003-3368-8131"},"institutions":[{"id":"https://openalex.org/I71422933","display_name":"Sheffield Hallam University","ror":"https://ror.org/019wt1929","country_code":"GB","type":"education","lineage":["https://openalex.org/I71422933"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marcus Dunn","raw_affiliation_strings":["Centre for Sports Engineering Research, Sheffield Hallam University, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Sports Engineering Research, Sheffield Hallam University, Sheffield, UK","institution_ids":["https://openalex.org/I71422933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070064409","display_name":"Ross Sanders","orcid":"https://orcid.org/0000-0003-0489-3048"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ross H. Sanders","raw_affiliation_strings":["Faculty of Health Sciences, Discipline of Exercise and Sport Science, The University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Health Sciences, Discipline of Exercise and Sport Science, The University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058649577"],"corresponding_institution_ids":["https://openalex.org/I71422933"],"apc_list":null,"apc_paid":null,"fwci":0.2729,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58995742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"7","issue":"2","first_page":"227","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11109","display_name":"Thermoregulation and physiological responses","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11109","display_name":"Thermoregulation and physiological responses","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12279","display_name":"Body Composition Measurement Techniques","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.7145772576332092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6244769096374512},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.5492364168167114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5156787633895874},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5040827989578247},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.41846227645874023},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4184156060218811},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40002426505088806},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.337721049785614},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32387757301330566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27184197306632996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1961706280708313},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09104731678962708}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7145772576332092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244769096374512},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.5492364168167114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156787633895874},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5040827989578247},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.41846227645874023},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4184156060218811},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40002426505088806},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.337721049785614},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32387757301330566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27184197306632996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1961706280708313},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09104731678962708},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/21681163.2018.1492971","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2018.1492971","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/dbb7e723-66d1-47cc-8acc-6b2fdcb78da0","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/dbb7e723-66d1-47cc-8acc-6b2fdcb78da0","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Chiu, C-Y, Pease, D L, Fawkner, S, Dunn, M & Sanders, R 2019, 'Comparison of automated post-processing techniques for measurement of Body Surface Area from 3D photonic scans', Computer Methods in Biomechanics and Biomedical Engineering, vol. 7, no. 2, pp. 227-234. https://doi.org/10.1080/21681163.2018.1492971","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:shura.shu.ac.uk:21752","is_oa":false,"landing_page_url":"http://orcid.org/0000-0003-3368-8131>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401600","display_name":"SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71422933","host_organization_name":"Sheffield Hallam University","host_organization_lineage":["https://openalex.org/I71422933"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:pure.ed.ac.uk:publications/dbb7e723-66d1-47cc-8acc-6b2fdcb78da0","is_oa":false,"landing_page_url":"https://www.tandfonline.com/doi/full/10.1080/21681163.2018.1492971","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/dbb7e723-66d1-47cc-8acc-6b2fdcb78da0","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/dbb7e723-66d1-47cc-8acc-6b2fdcb78da0","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Chiu, C-Y, Pease, D L, Fawkner, S, Dunn, M & Sanders, R 2019, 'Comparison of automated post-processing techniques for measurement of Body Surface Area from 3D photonic scans', Computer Methods in Biomechanics and Biomedical Engineering, vol. 7, no. 2, pp. 227-234. https://doi.org/10.1080/21681163.2018.1492971","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W53293654","https://openalex.org/W1609440971","https://openalex.org/W1901654600","https://openalex.org/W1940113235","https://openalex.org/W1964134280","https://openalex.org/W1977623079","https://openalex.org/W1992642990","https://openalex.org/W1999495814","https://openalex.org/W2000203843","https://openalex.org/W2000395626","https://openalex.org/W2004632314","https://openalex.org/W2005756025","https://openalex.org/W2005815716","https://openalex.org/W2006071226","https://openalex.org/W2008550072","https://openalex.org/W2015795623","https://openalex.org/W2019793810","https://openalex.org/W2037630241","https://openalex.org/W2040524586","https://openalex.org/W2042843908","https://openalex.org/W2067691287","https://openalex.org/W2080308836","https://openalex.org/W2094657778","https://openalex.org/W2099332139","https://openalex.org/W2101641450","https://openalex.org/W2116393601","https://openalex.org/W2121836743","https://openalex.org/W2128030408","https://openalex.org/W2162661389","https://openalex.org/W2167613591","https://openalex.org/W2205229855","https://openalex.org/W2465775424","https://openalex.org/W2582776397","https://openalex.org/W2586998580","https://openalex.org/W4245274891","https://openalex.org/W4250489437","https://openalex.org/W4250988464"],"related_works":["https://openalex.org/W1488915263","https://openalex.org/W2084395052","https://openalex.org/W2792375448","https://openalex.org/W3024941504","https://openalex.org/W2034771340","https://openalex.org/W646678958","https://openalex.org/W2898899725","https://openalex.org/W2893927622","https://openalex.org/W181005589","https://openalex.org/W2481493611"],"abstract_inverted_index":{"Body":[0],"surface":[1,85,91],"area":[2],"(BSA)":[3],"measurement":[4],"is":[5,43,221],"important":[6],"in":[7],"engineering":[8],"and":[9,45,72,88,105,114,169,184,189,204,225,239],"medicine":[10],"fields":[11],"to":[12,24,68,117,143,158,231],"determine":[13],"parameters":[14],"for":[15,201,234],"various":[16],"applications.":[17],"Three-dimensional":[18],"scanning":[19,36],"techniques":[20,79,116,168],"may":[21],"be":[22],"used":[23,157],"acquire":[25,118],"the":[26,30,70,98,111,132,148,160,166,196,199],"BSA":[27,56],"directly.":[28],"Nevertheless,":[29],"raw":[31,106],"data":[32,107],"obtained":[33,180],"from":[34,126,147,165,181],"3D":[35,52],"usually":[37],"requires":[38,46],"some":[39],"manual":[40,95,112,232],"post-processing":[41,50,78,96,233],"which":[42],"time-consuming":[44],"technical":[47,60,134],"expertise.":[48,61],"Automated":[49],"of":[51,64,74,123,136,153,162,178,242],"scans":[53],"enables":[54],"expedient":[55],"calculation":[57],"with":[58,110,195,244],"minimal":[59],"The":[62,121,151,174],"purpose":[63],"this":[65],"research":[66],"was":[67,129],"compare":[69],"accuracy":[71,161],"reliability":[73,122,175],"three":[75],"different":[76],"automated":[77,115,149,167],"including":[80],"Stitched":[81],"Puppet":[82],"(SP),":[83],"Poisson":[84,90],"reconstruction":[86,92],"(PSR),":[87],"screened":[89],"(SPSR)":[93],"using":[94],"as":[97],"criterion.":[99],"Twenty-nine":[100],"participants":[101],"were":[102,108,141,156,186,206],"scanned":[103],"twice,":[104],"processed":[109],"operation":[113],"BSAs":[119,124,145,163,179,243],"separately.":[120],"acquired":[125,146,164],"these":[127],"approaches":[128,230],"represented":[130],"by":[131,171],"relative":[133],"error":[135],"measurements":[137,241],"(TEM).":[138],"Pearson\u2019s":[139],"regressions":[140],"applied":[142],"correct":[144],"techniques.":[150],"limits":[152],"agreement":[154],"(LOA)":[155],"quantify":[159],"corrected":[170],"regression":[172,197],"models.":[173],"(relative":[176],"TEM)":[177],"PSR,":[182,202],"SPSR":[183,203,226],"SP":[185,205],"0.32,":[187],"0.30":[188],"0.82%":[190],"respectively.":[191,219],"After":[192],"removing":[193],"bias":[194],"models,":[198],"LOA":[200],"(\u22120.0134":[207],"m2,":[208,212,216],"0.0135":[209],"m2),":[210,214],"(\u22120.0130":[211],"0.0132":[213],"(\u22120.0573":[215],"0.0572":[217],"m2)":[218],"It":[220],"concluded":[222],"that":[223,236],"PSR":[224],"are":[227],"good":[228],"alternative":[229],"applications":[235],"need":[237],"reliable":[238],"accurate":[240],"large":[245],"populations.":[246]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}