{"id":"https://openalex.org/W2651967874","doi":"https://doi.org/10.2352/issn.2470-1173.2017.8.maap-281","title":"Model-based Skin Pigment Cartography by High-Resolution Hyperspectral Imaging","display_name":"Model-based Skin Pigment Cartography by High-Resolution Hyperspectral Imaging","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2651967874","doi":"https://doi.org/10.2352/issn.2470-1173.2017.8.maap-281","mag":"2651967874"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.8.maap-281","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.8.maap-281","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089655840","display_name":"Pierre S\u00e9roul","orcid":"https://orcid.org/0000-0002-1437-5386"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pierre Seroul","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039674358","display_name":"Mathieu H\u00e9bert","orcid":"https://orcid.org/0000-0002-9935-6896"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mathieu H\u00e9bert","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024761225","display_name":"Marie Cherel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marie Cherel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052897814","display_name":"R. Vernet","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Romain Vernet","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041496082","display_name":"R. Clerc","orcid":"https://orcid.org/0000-0002-2256-4849"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raphael Clerc","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069420294","display_name":"Matthieu Jomier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthieu Jomier","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089655840"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09170013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":"8","first_page":"108","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.44920000433921814,"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"}},"topics":[{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.44920000433921814,"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"}},{"id":"https://openalex.org/T12050","display_name":"Optical Polarization and Ellipsometry","score":0.10339999943971634,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.09539999812841415,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8353971838951111},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6753101348876953},{"id":"https://openalex.org/keywords/imaging-spectrometer","display_name":"Imaging spectrometer","score":0.533373236656189},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.5132656097412109},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.4629640579223633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45653587579727173},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.41444215178489685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3963809609413147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38937807083129883},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33197298645973206},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.3217502534389496},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.29987990856170654},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.27468377351760864},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21247845888137817},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14048931002616882}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8353971838951111},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6753101348876953},{"id":"https://openalex.org/C183852935","wikidata":"https://www.wikidata.org/wiki/Q6002848","display_name":"Imaging spectrometer","level":3,"score":0.533373236656189},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.5132656097412109},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.4629640579223633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45653587579727173},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.41444215178489685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3963809609413147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38937807083129883},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33197298645973206},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.3217502534389496},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.29987990856170654},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.27468377351760864},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21247845888137817},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14048931002616882}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.8.maap-281","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.8.maap-281","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2746742660","https://openalex.org/W2082586825","https://openalex.org/W2561005839","https://openalex.org/W2138540356","https://openalex.org/W2119473622","https://openalex.org/W2474469778","https://openalex.org/W2944460852","https://openalex.org/W2171464537","https://openalex.org/W1529476013","https://openalex.org/W2054836752"],"abstract_inverted_index":{"The":[0,62,81,122,148,223],"determination":[1],"of":[2,24,41,56,65,115,125,135,184,187,205],"local":[3],"components":[4,58],"in":[5,9,38,59,69,90,145,174,182,239],"human":[6],"skin":[7,25,57,180,209],"from":[8,73,233],"vivo":[10],"spectral":[11,113],"reflectance":[12],"measurements":[13],"is":[14,29,36,128,140,237],"crucial":[15],"for":[16,20,155,165,245],"medical":[17],"applications,":[18],"especially":[19],"aiding":[21],"the":[22,42,54,66,75,79,98,119,136,142,156,159,166,185,203,226,230,234],"diagnostic":[23],"diseases.":[26],"Hyperspectral":[27],"imaging":[28,76],"a":[30,47,103,111,152],"convenient":[31],"technique":[32],"since":[33],"one":[34,177,231],"spectrum":[35,228],"acquired":[37],"each":[39,60,183,240],"pixel":[40],"image,":[43],"and":[44,78,158,193,229,248],"by":[45,97],"inverting":[46],"light":[48,167],"scattering":[49],"model,":[50],"we":[51,85],"can":[52,220],"retrieve":[53],"concentrations":[55],"pixel.":[61,241],"good":[63],"performance":[64],"method":[67,171],"presented":[68],"this":[70],"article":[71],"comes":[72],"both":[74],"system":[77],"model.":[80],"hyperspectral":[82,146],"camera":[83],"that":[84],"conceived":[86],"uses":[87],"polarizing":[88],"filters":[89],"order":[91],"to":[92,131],"remove":[93],"gloss":[94],"effects":[95,134],"generated":[96],"stratum":[99],"corneum;":[100],"it":[101],"provides":[102],"high-resolution":[104],"image":[105],"(1120":[106],"×":[107],"900":[108],"pixels),":[109],"with":[110,162],"thin":[112],"sampling":[114],"10":[116],"nm":[117],"over":[118],"visible":[120],"spectrum.":[121],"acquisition":[123],"time":[124],"2":[126],"seconds":[127],"short":[129],"enough":[130],"prevent":[132],"movement":[133],"imaged":[137],"area,":[138],"which":[139],"usually":[141],"main":[143],"issue":[144],"imaging.":[147],"model":[149,154],"relies":[150],"on":[151],"two-layer":[153],"skin,":[157],"Kubelka–Munk":[160],"theory":[161],"Saunderson":[163],"correction":[164],"reflection.":[168],"An":[169],"optimization":[170],"enables":[172],"computing,":[173],"less":[175],"than":[176],"hour,":[178],"several":[179],"parameters":[181,190,236],"million":[186],"pixels.":[188],"These":[189],"(blood,":[191],"melanin":[192],"bilirubin":[194],"volume":[195],"fractions,":[196],"oxygen":[197],"saturation…)":[198],"are":[199],"then":[200],"displayed":[201],"under":[202],"form":[204],"density":[206],"images.":[207],"Different":[208],"structures,":[210],"such":[211],"as":[212],"veins,":[213],"blood":[214],"capillaries,":[215],"hematoma":[216],"or":[217],"pigmented":[218],"spots,":[219],"be":[221],"highlighted.":[222],"deviation":[224],"between":[225],"measured":[227],"computed":[232],"fitted":[235],"evaluated":[238],"©":[242],"2016":[243],"Society":[244],"Imaging":[246],"Science":[247],"Technology.":[249]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}