{"id":"https://openalex.org/W4221017912","doi":"https://doi.org/10.1117/12.2611503","title":"Evaluating the impact of MR image contrast on whole brain segmentation","display_name":"Evaluating the impact of MR image contrast on whole brain segmentation","publication_year":2022,"publication_date":"2022-03-31","ids":{"openalex":"https://openalex.org/W4221017912","doi":"https://doi.org/10.1117/12.2611503"},"language":"en","primary_location":{"id":"doi:10.1117/12.2611503","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611503","pdf_url":null,"source":{"id":"https://openalex.org/S4363607561","display_name":"Medical Imaging 2022: Image Processing","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image Processing","raw_type":"proceedings-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/A5065925437","display_name":"Savannah P. Hays","orcid":"https://orcid.org/0009-0005-8711-1356"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Savannah P. Hays","raw_affiliation_strings":["West Virginia Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"West Virginia Univ. (United States)","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003957722","display_name":"Lianrui Zuo","orcid":"https://orcid.org/0000-0002-5923-9097"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]},{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lianrui Zuo","raw_affiliation_strings":["Johns Hopkins Univ. (United States)","National Institutes of Health (United States)"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"National Institutes of Health (United States)","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075622613","display_name":"Aaron Carass","orcid":"https://orcid.org/0000-0003-4939-5085"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aaron Carass","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066682675","display_name":"Jerry L. Prince","orcid":"https://orcid.org/0000-0002-6553-0876"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jerry L. Prince","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065925437"],"corresponding_institution_ids":["https://openalex.org/I12097938"],"apc_list":null,"apc_paid":null,"fwci":0.1806,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47682875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"102136","issue":null,"first_page":"16","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9937000274658203,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9839000105857849,"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/contrast","display_name":"Contrast (vision)","score":0.8145326375961304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.763838529586792},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7438246011734009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6641526222229004},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5792423486709595},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.575299084186554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5660810470581055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5186542868614197},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38930389285087585}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.8145326375961304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.763838529586792},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7438246011734009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6641526222229004},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5792423486709595},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.575299084186554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5660810470581055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5186542868614197},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38930389285087585}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2611503","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611503","pdf_url":null,"source":{"id":"https://openalex.org/S4363607561","display_name":"Medical Imaging 2022: Image Processing","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2148157540","https://openalex.org/W2391545620","https://openalex.org/W2962900979","https://openalex.org/W3092215540","https://openalex.org/W3173519548","https://openalex.org/W3175770036","https://openalex.org/W3197863729","https://openalex.org/W6769183952","https://openalex.org/W6779971955","https://openalex.org/W6798261903"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0],"development":[1],"of":[2,25,59,83,130,162,178],"automatic":[3],"whole":[4,94],"brain":[5,62,95],"segmentation":[6,27,48,96],"algorithms":[7,28,49],"has":[8],"greatly":[9],"facilitated":[10],"large-scale":[11],"multi":[12],"cohort":[13],"magnetic":[14],"resonance":[15],"(MR)":[16],"image":[17,33,52,102,166],"analyses":[18],"in":[19,39,143],"recent":[20],"years.":[21],"However,":[22],"the":[23,37,60,71,91,151,159,171,174],"performance":[24,147],"these":[26],"is":[29,54,148],"often":[30],"affected":[31],"by":[32,73],"contrast":[34,76,120,131,141,177],"due":[35],"to":[36,135],"variations":[38],"pulse":[40],"sequences,":[41],"acquisitions":[42],"parameters,":[43],"and":[44,139,173],"manufacturers.":[45],"Quantitatively":[46],"evaluating":[47],"on":[50,99,105,181],"different":[51],"contrasts":[53],"challenging":[55],"because":[56],"manual":[57,86],"delineations":[58],"human":[61],"are":[63],"usually":[64],"limited.":[65],"In":[66],"this":[67],"study,":[68],"we":[69,117],"tackle":[70],"problem":[72],"synthesizing":[74],"new":[75,119],"MR":[77,101,110,144,184],"images":[78,84,111,121],"from":[79,113],"a":[80,114,123],"small":[81],"set":[82],"with":[85,165],"delineations.":[87],"We":[88,168],"quantitatively":[89],"evaluate":[90],"current":[92],"state-of-the-art":[93],"algorithm,":[97],"SLANT,":[98],"various":[100],"contrasts.":[103],"Based":[104],"50":[106],"manually":[107],"delineated":[108],"T1-weighted":[109],"acquired":[112],"single":[115],"site,":[116],"synthesize":[118],"using":[122,150],"deep":[124],"learning-based":[125],"harmonization":[126],"algorithm.":[127],"Two":[128],"types":[129],"synthesis":[132],"were":[133],"conducted":[134],"simulate":[136],"both":[137],"intra-":[138],"inter-site":[140],"variability":[142],"imaging.":[145],"SLANT":[146,163,179],"measured":[149],"Dice":[152],"similarity":[153],"coefficient":[154],"(DSC).":[155],"Experiments":[156],"show":[157],"that":[158],"average":[160],"DSC":[161],"varies":[164],"contrast.":[167],"also":[169],"demonstrate":[170],"preferred":[172,176],"least":[175],"based":[180],"11":[182],"real":[183],"imaging":[185],"sites.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
