{"id":"https://openalex.org/W3010712943","doi":"https://doi.org/10.1117/12.2548158","title":"Attenuation correction for PET/MRI using MRI-based pseudo CT","display_name":"Attenuation correction for PET/MRI using MRI-based pseudo CT","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3010712943","doi":"https://doi.org/10.1117/12.2548158","mag":"3010712943"},"language":"en","primary_location":{"id":"doi:10.1117/12.2548158","doi":"https://doi.org/10.1117/12.2548158","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548158","pdf_url":null,"source":{"id":"https://openalex.org/S4363606018","display_name":"SPIE Medical Imaging: Physics of Medical Imaging","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 2020: Physics of Medical Imaging","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5049656223","display_name":"Tonghe Wang","orcid":"https://orcid.org/0000-0001-9021-1204","observed_orcids":["https://orcid.org/0000-0001-9021-1204"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tonghe Wang","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011903902","display_name":"Yang Lei","orcid":"https://orcid.org/0000-0002-3572-0345","observed_orcids":["https://orcid.org/0000-0002-3572-0345"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Lei","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101600403","display_name":"Xue Dong","orcid":"https://orcid.org/0000-0002-6213-2821","observed_orcids":["https://orcid.org/0000-0002-6213-2821"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xue Dong","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080256711","display_name":"Kristin Ann Higgins","orcid":"https://orcid.org/0000-0003-1496-9878","observed_orcids":["https://orcid.org/0000-0003-1496-9878"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kristin Higgins","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365649","display_name":"Tian Liu","orcid":"https://orcid.org/0000-0002-2906-5110","observed_orcids":["https://orcid.org/0000-0002-2906-5110"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Liu","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026088869","display_name":"Walter John Curran","orcid":"https://orcid.org/0000-0002-7552-4453","observed_orcids":["https://orcid.org/0000-0002-7552-4453"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter J. Curran","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068714594","display_name":"Hui Z. Mao","orcid":"https://orcid.org/0000-0002-0147-6022","observed_orcids":["https://orcid.org/0000-0002-0147-6022","https://orcid.org/0000-0002-4193-9431"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Mao","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000322709","display_name":"Jonathon A. Nye","orcid":"https://orcid.org/0000-0002-4481-6031","observed_orcids":["https://orcid.org/0000-0002-4481-6031"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathon A. Nye","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100619090","display_name":"Xiaofeng Yang","orcid":"https://orcid.org/0000-0001-9023-5855","observed_orcids":["https://orcid.org/0000-0001-9023-5855"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Yang","raw_affiliation_strings":["Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":0.821,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70947177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9301999807357788,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9301999807357788,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.04820000007748604,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.006500000134110451,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pet-mri","display_name":"PET/MRI","score":0.9129999876022339},{"id":"https://openalex.org/keywords/attenuation-correction","display_name":"attenuation correction","score":0.9810000061988831},{"id":"https://openalex.org/keywords/brain-pet","display_name":"brain PET","score":0.7950000166893005},{"id":"https://openalex.org/keywords/random-forest-regression","display_name":"random forest regression","score":0.8220000267028809},{"id":"https://openalex.org/keywords/iterative-refinement","display_name":"iterative refinement","score":0.5239999890327454},{"id":"https://openalex.org/keywords/t1-weighted-mri","display_name":"T1-weighted imaging","score":0.9259999990463257},{"id":"https://openalex.org/keywords/ct-mri-registration","display_name":"CT-MRI registration","score":0.5770000219345093}],"concepts":[{"id":"https://openalex.org/C123688308","wikidata":"https://www.wikidata.org/wiki/Q7309537","display_name":"Correction for attenuation","level":3,"score":0.7459850311279297},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6848653554916382},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.6112249493598938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5914955735206604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5716201663017273},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5574140548706055},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.51704341173172},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.46213215589523315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41900497674942017},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.4103168845176697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35562562942504883},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.3033679127693176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18598011136054993},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18496829271316528},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1373519003391266},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2548158","doi":"https://doi.org/10.1117/12.2548158","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548158","pdf_url":null,"source":{"id":"https://openalex.org/S4363606018","display_name":"SPIE Medical Imaging: Physics of Medical Imaging","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 2020: Physics of Medical Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8560000061988831,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"sustainable_development_goals_aurora":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/15","display_name":"Life on land"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2904950251","https://openalex.org/W2963982674","https://openalex.org/W2100495482","https://openalex.org/W4410334183","https://openalex.org/W2957660786","https://openalex.org/W7220473325","https://openalex.org/W1968450031","https://openalex.org/W1026665963","https://openalex.org/W2140351287","https://openalex.org/W2055935372"],"abstract_inverted_index":{"Deriving":[0],"accurate":[1],"attenuation":[2,21,52,119],"maps":[3,42],"for":[4,51,111,118],"PET/MRI":[5],"remains":[6],"a":[7,32,59,63,183,199],"challenging":[8],"problem":[9],"because":[10],"MRI":[11,46],"voxel":[12,160],"intensities":[13],"are":[14],"not":[15],"related":[16],"to":[17,35,88,187,207],"properties":[18],"of":[19,54,65,72,102,147,159,173,231],"photon":[20],"and":[22,85,109,140,154,215],"bone/air":[23],"interfaces":[24],"have":[25],"similarly":[26],"low":[27],"signal.":[28],"This":[29,180],"work":[30,181],"presents":[31],"learning-based":[33,185],"method":[34,61],"derive":[36],"patient-specific":[37],"pseudo":[38],"computed":[39],"tomography":[40],"(PCT)":[41],"from":[43,133,192],"routine":[44,193],"T1-weighted":[45,194],"in":[47,82,162],"their":[48],"native":[49],"space":[50],"correction":[53,151],"brain":[55],"PET.":[56],"We":[57],"developed":[58],"machine-learning-based":[60],"using":[62,221],"sequence":[64],"alternating":[66],"random":[67,200],"forests":[68],"under":[69],"the":[70,169,210,213,222],"framework":[71],"an":[73],"iterative":[74],"refinement":[75],"model.":[76],"Anatomical":[77],"feature":[78],"selection":[79],"is":[80,177],"included":[81],"both":[83],"training":[84],"predication":[86],"stages":[87],"achieve":[89],"excellent":[90],"performance.":[91],"To":[92],"evaluate":[93],"its":[94],"accuracy,":[95],"we":[96],"retrospectively":[97],"investigated":[98],"17":[99],"patients,":[100],"each":[101],"which":[103],"has":[104],"been":[105],"scanned":[106],"by":[107,152],"PET/CT":[108,232],"MR":[110,134,195,216],"brain.":[112],"The":[113,136,156],"PET":[114,148,219],"images":[115,122,131,149,191,196,220],"were":[116,165],"corrected":[117],"on":[120,129,198],"CT":[121,190,214],"as":[123,126,128],"ground":[124],"truth,":[125],"well":[127,226],"PCT":[130,153,223],"generated":[132],"images.":[135,217],"side-by-side":[137],"image":[138],"comparisons":[139],"joint":[141],"histograms":[142],"demonstrated":[143],"very":[144],"good":[145],"agreement":[146],"after":[150],"CT.":[155],"mean":[157,170],"differences":[158],"values":[161],"selected":[163],"VOIs":[164],"less":[166],"than":[167],"4%,":[168],"absolute":[171],"difference":[172],"all":[174],"active":[175],"area":[176],"around":[178],"2.5%.":[179],"demonstrates":[182],"novel":[184],"approach":[186],"automatically":[188],"generate":[189],"based":[197],"forest":[201],"regression":[202],"with":[203],"patch-based":[204],"anatomical":[205],"signatures":[206],"effectively":[208],"capture":[209],"relationship":[211],"between":[212],"Reconstructed":[218],"exhibit":[224],"errors":[225],"below":[227],"accepted":[228],"test/retest":[229],"reliability":[230],"indicating":[233],"high":[234],"quantitative":[235],"equivalence.":[236]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2020-03-23T00:00:00"}
