{"id":"https://openalex.org/W2783666954","doi":"https://doi.org/10.1109/tmi.2018.2790962","title":"Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors","display_name":"Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors","publication_year":2018,"publication_date":"2018-01-08","ids":{"openalex":"https://openalex.org/W2783666954","doi":"https://doi.org/10.1109/tmi.2018.2790962","mag":"2783666954","pmid":"https://pubmed.ncbi.nlm.nih.gov/29610076"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2018.2790962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2790962","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5044127793","display_name":"Wei Yang","orcid":"https://orcid.org/0000-0002-2161-3231"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2161-3231","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070483964","display_name":"Liming Zhong","orcid":"https://orcid.org/0000-0002-0048-7838"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Zhong","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350437","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0002-5660-6349"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Laboratory of Image Science and Technology, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5660-6349","affiliations":[{"raw_affiliation_string":"Laboratory of Image Science and Technology, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101690718","display_name":"Liyan Lin","orcid":"https://orcid.org/0000-0003-0394-339X"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyan Lin","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012139704","display_name":"Zhentai Lu","orcid":"https://orcid.org/0000-0002-2128-6090"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhentai Lu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025375956","display_name":"Shupeng Liu","orcid":"https://orcid.org/0000-0002-0951-7562"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shupeng Liu","raw_affiliation_strings":["Radiotherapy Oncology Department, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radiotherapy Oncology Department, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086110169","display_name":"Yao Wu","orcid":"https://orcid.org/0000-0002-1809-3431"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Wu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772585","display_name":"Qianjin Feng","orcid":"https://orcid.org/0000-0001-8647-0596"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianjin Feng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8647-0596","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089411715","display_name":"Wufan Chen","orcid":"https://orcid.org/0000-0002-4125-7537"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wufan Chen","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5902,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.93405378,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"37","issue":"4","first_page":"977","last_page":"987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9991000294685364,"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":0.9975000023841858,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6886870265007019},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5992515683174133},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5271275639533997},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5044339895248413},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.47466614842414856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4713275730609894},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.44040393829345703},{"id":"https://openalex.org/keywords/hounsfield-scale","display_name":"Hounsfield scale","score":0.4368411600589752},{"id":"https://openalex.org/keywords/correction-for-attenuation","display_name":"Correction for attenuation","score":0.43619585037231445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4155643582344055},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.40096625685691833},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.31462401151657104},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.20263803005218506},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1870424747467041},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.10527420043945312},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0938393771648407},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07832935452461243}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6886870265007019},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5992515683174133},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5271275639533997},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5044339895248413},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.47466614842414856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4713275730609894},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.44040393829345703},{"id":"https://openalex.org/C187954543","wikidata":"https://www.wikidata.org/wiki/Q1501273","display_name":"Hounsfield scale","level":3,"score":0.4368411600589752},{"id":"https://openalex.org/C123688308","wikidata":"https://www.wikidata.org/wiki/Q7309537","display_name":"Correction for attenuation","level":3,"score":0.43619585037231445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4155643582344055},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.40096625685691833},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.31462401151657104},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.20263803005218506},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1870424747467041},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.10527420043945312},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0938393771648407},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07832935452461243},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2018.2790962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2790962","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:29610076","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29610076","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G6333759923","display_name":null,"funder_award_id":"U1501256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8052624189","display_name":"\u533b\u5b66\u56fe\u50cf\u8303\u4f8b\u5148\u9a8c\u6784\u9020\u4e0e\u865a\u62df\u591a\u6a21\u6001\u6210\u50cf\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61471187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8937713488","display_name":null,"funder_award_id":"2015A030313280","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1480714498","https://openalex.org/W1515999713","https://openalex.org/W1528255049","https://openalex.org/W1560724230","https://openalex.org/W1954309418","https://openalex.org/W1976225446","https://openalex.org/W1984473052","https://openalex.org/W1985258161","https://openalex.org/W1985809919","https://openalex.org/W2012846611","https://openalex.org/W2015897296","https://openalex.org/W2028302281","https://openalex.org/W2035397698","https://openalex.org/W2044967973","https://openalex.org/W2047151644","https://openalex.org/W2052644075","https://openalex.org/W2057743740","https://openalex.org/W2067324127","https://openalex.org/W2086284908","https://openalex.org/W2087512379","https://openalex.org/W2098578926","https://openalex.org/W2100495482","https://openalex.org/W2109235804","https://openalex.org/W2117340355","https://openalex.org/W2124386111","https://openalex.org/W2128728535","https://openalex.org/W2129804985","https://openalex.org/W2154158661","https://openalex.org/W2160063258","https://openalex.org/W2208340121","https://openalex.org/W2223436381","https://openalex.org/W2405268213","https://openalex.org/W2421923334","https://openalex.org/W2429416455","https://openalex.org/W2565897211","https://openalex.org/W2919115771","https://openalex.org/W3195149063","https://openalex.org/W4235770099","https://openalex.org/W4238530616","https://openalex.org/W6628717918"],"related_works":["https://openalex.org/W2334000142","https://openalex.org/W2919843379","https://openalex.org/W2288985746","https://openalex.org/W2545154302","https://openalex.org/W2539843374","https://openalex.org/W2534086599","https://openalex.org/W167525318","https://openalex.org/W2018547115","https://openalex.org/W1969031584","https://openalex.org/W2316653139"],"abstract_inverted_index":{"Attenuation":[0],"correction":[1],"for":[2,14,126],"positron-emission":[3],"tomography":[4,46],"(PET)/magnetic":[5],"resonance":[6,54],"(MR)":[7],"hybrid":[8],"imaging":[9,55],"systems":[10],"and":[11,39,51,79,140,183],"dose":[12,185],"planning":[13],"MR-based":[15],"radiation":[16],"therapy":[17],"remain":[18],"challenging":[19],"due":[20],"to":[21,42],"insufficient":[22],"high-energy":[23],"photon":[24],"attenuation":[25,181],"information.":[26],"We":[27],"present":[28],"a":[29,101,133,152,163,172,184],"novel":[30],"approach":[31],"that":[32,206],"uses":[33],"the":[34,66,70,94,106,110,114],"learned":[35],"nonlinear":[36,59,71],"local":[37,60,91],"descriptors":[38,61,68],"feature":[40,77],"matching":[41],"predict":[43],"pseudo":[44],"computed":[45],"(pCT)":[47],"images":[48,97,108,142,150],"from":[49,143],"T1-weighted":[50],"T2-weighted":[52],"magnetic":[53],"(MRI)":[56],"data.":[57],"The":[58,86,123,201],"are":[62,98,117],"obtained":[63],"by":[64],"projecting":[65],"linear":[67],"into":[69],"high-dimensional":[72],"space":[73],"using":[74],"an":[75],"explicit":[76],"map":[78],"low-rank":[80],"approximation":[81],"with":[82,151,198],"supervised":[83],"manifold":[84],"regularization.":[85],"nearest":[87],"neighbors":[88],"of":[89,105,136,157,167,175,190],"each":[90],"descriptor":[92],"in":[93,100,179,194],"input":[95],"MR":[96,107],"searched":[99],"constrained":[102],"spatial":[103],"range":[104],"among":[109],"training":[111],"dataset.":[112],"Then":[113],"pCT":[115,127,149],"patches":[116],"estimated":[118],"through":[119],"k-nearest":[120],"neighbor":[121],"regression.":[122],"proposed":[124],"method":[125,147,208],"prediction":[128],"is":[129],"quantitatively":[130],"analyzed":[131],"on":[132],"dataset":[134],"consisting":[135],"paired":[137],"brain":[138],"MRI":[139],"CT":[141],"13":[144],"subjects.":[145],"Our":[146],"generates":[148],"mean":[153],"absolute":[154],"error":[155],"(MAE)":[156],"75.25":[158],"\u00b1":[159,169,177,192],"18.05":[160],"Hounsfield":[161],"units,":[162],"peak":[164],"signal-to-noise":[165],"ratio":[166],"30.87":[168],"1.15":[170],"dB,":[171],"relative":[173,186],"MAE":[174],"1.56":[176],"0.5%":[178],"PET":[180],"correction,":[182],"structure":[187],"volume":[188],"difference":[189],"0.055":[191],"0.107%":[193],",":[195],"as":[196],"compared":[197],"true":[199],"CT.":[200],"experimental":[202],"results":[203],"also":[204],"show":[205],"our":[207],"outperforms":[209],"four":[210],"state-of-the-art":[211],"methods.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
