{"id":"https://openalex.org/W2471048935","doi":"https://doi.org/10.1109/tmi.2016.2587661","title":"TICMR: Total Image Constrained Material Reconstruction via Nonlocal Total Variation Regularization for Spectral CT","display_name":"TICMR: Total Image Constrained Material Reconstruction via Nonlocal Total Variation Regularization for Spectral CT","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2471048935","doi":"https://doi.org/10.1109/tmi.2016.2587661","mag":"2471048935","pmid":"https://pubmed.ncbi.nlm.nih.gov/27392346"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2016.2587661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2587661","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":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5805160","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040239372","display_name":"Jiulong Liu","orcid":"https://orcid.org/0000-0001-7199-4581"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiulong Liu","raw_affiliation_strings":["Department of Mathematics and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021415922","display_name":"Huanjun Ding","orcid":"https://orcid.org/0000-0002-5537-8962"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huanjun Ding","raw_affiliation_strings":["Department of Radiological Sciences, University of California, Irvine, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiological Sciences, University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086707068","display_name":"Sabee Molloi","orcid":"https://orcid.org/0000-0003-1852-4913"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sabee Molloi","raw_affiliation_strings":["Department of Radiological Sciences, University of California, Irvine, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiological Sciences, University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052123856","display_name":"Xiaoqun Zhang","orcid":"https://orcid.org/0000-0002-2723-4451"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqun Zhang","raw_affiliation_strings":["Department of Mathematics and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101675267","display_name":"Hao Gao","orcid":"https://orcid.org/0000-0003-1064-2149"},"institutions":[{"id":"https://openalex.org/I4210126298","display_name":"Duke Medical Center","ror":"https://ror.org/03njmea73","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210126298","https://openalex.org/I4210144876"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Gao","raw_affiliation_strings":["Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA"],"raw_orcid":"https://orcid.org/0000-0003-1064-2149","affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA","institution_ids":["https://openalex.org/I4210126298"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040239372"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":4.3813,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.94563103,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"35","issue":"12","first_page":"2578","last_page":"2586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":1.0,"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9980999827384949,"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/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.8275237083435059},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.6327337026596069},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6091016530990601},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5547611713409424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4538310170173645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44881054759025574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43852031230926514},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.42191651463508606},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4149933159351349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34375208616256714},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34101220965385437},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2955477237701416},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26227277517318726},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.17048653960227966}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.8275237083435059},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.6327337026596069},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6091016530990601},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5547611713409424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4538310170173645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44881054759025574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43852031230926514},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.42191651463508606},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4149933159351349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34375208616256714},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34101220965385437},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2955477237701416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26227277517318726},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.17048653960227966},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"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":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"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":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2016.2587661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2587661","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:27392346","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27392346","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},{"id":"pmh:oai:escholarship.org:ark:/13030/qt2nj658vq","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/2nj658vq","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging, vol 35, iss 12","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5805160","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5805160","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:5805160","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5805160","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7799999713897705,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3985067277","display_name":null,"funder_award_id":"#GZ1025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4444466349","display_name":null,"funder_award_id":"#91330102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G605148551","display_name":null,"funder_award_id":"#R01CA13687","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7077832555","display_name":null,"funder_award_id":"#2015CB856000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7348321108","display_name":null,"funder_award_id":"#11405105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1496825575","https://openalex.org/W1965673981","https://openalex.org/W1968238516","https://openalex.org/W1972037630","https://openalex.org/W1972266574","https://openalex.org/W1982059935","https://openalex.org/W2005987054","https://openalex.org/W2013586450","https://openalex.org/W2040361402","https://openalex.org/W2042195023","https://openalex.org/W2044211413","https://openalex.org/W2044774090","https://openalex.org/W2051635575","https://openalex.org/W2056052439","https://openalex.org/W2059609680","https://openalex.org/W2060945009","https://openalex.org/W2065444952","https://openalex.org/W2066140474","https://openalex.org/W2068780335","https://openalex.org/W2071785489","https://openalex.org/W2072647673","https://openalex.org/W2077847110","https://openalex.org/W2091494211","https://openalex.org/W2098092211","https://openalex.org/W2099619241","https://openalex.org/W2099728952","https://openalex.org/W2102462918","https://openalex.org/W2110652437","https://openalex.org/W2111298039","https://openalex.org/W2118926991","https://openalex.org/W2120096152","https://openalex.org/W2136396015","https://openalex.org/W2142058898","https://openalex.org/W2142419873","https://openalex.org/W2143163922","https://openalex.org/W2164278908","https://openalex.org/W2184158493","https://openalex.org/W2620060504","https://openalex.org/W4292363360","https://openalex.org/W6629851113","https://openalex.org/W6686132953"],"related_works":["https://openalex.org/W2588406281","https://openalex.org/W1605636162","https://openalex.org/W2303132117","https://openalex.org/W2344001031","https://openalex.org/W2109920143","https://openalex.org/W2756378021","https://openalex.org/W2390285263","https://openalex.org/W4292601995","https://openalex.org/W2890366747","https://openalex.org/W2006843870"],"abstract_inverted_index":{"This":[0,35],"work":[1],"develops":[2],"a":[3,45,56,65,72,89,111,142,171,187],"material":[4,84,94,97,107,123,174,192,204,207],"reconstruction":[5,95,105,124,175,233],"method":[6,234,254,268],"for":[7,203],"spectral":[8,28,60,149],"CT,":[9],"namely":[10],"Total":[11],"Image":[12],"Constrained":[13],"Material":[14],"Reconstruction":[15],"(TICMR),":[16],"to":[17,54,81,190,259],"maximize":[18],"the":[19,39,48,75,83,103,153,165,196,236,241,248],"utility":[20],"of":[21,26,106,110,199,224,255],"projection":[22,49,76,179],"data":[23,50,77],"in":[24,239],"terms":[25,223],"both":[27,272],"information":[29,218],"and":[30,99,118,151,274,281,293],"high":[31,67,126],"signal-to-noise":[32],"ratio":[33,292],"(SNR).":[34],"is":[36,201,219,228,244,257],"motivated":[37],"by":[38],"following":[40],"fact:":[41],"when":[42,69],"viewed":[43,70],"as":[44,71,186,230],"spectrally-integrated":[46,146],"measurement,":[47,74],"can":[51,78],"be":[52,79],"used":[53],"reconstruct":[55,82,141],"total":[57,133,143],"image":[58,100,144,158,162,288],"without":[59,148],"information,":[61],"which":[62,86,240],"however":[63,87],"has":[64,88],"relatively":[66,90],"SNR;":[68],"spectrally-resolved":[73],"utilized":[80,245],"composition,":[85],"low":[91],"SNR.":[92],"The":[93,251,265],"synergizes":[96],"decomposition":[98],"reconstruction,":[101,205],"i.e.,":[102],"direct":[104],"compositions":[108,208],"instead":[109],"two-step":[112],"procedure":[113],"that":[114,159,182,195],"first":[115,139],"reconstructs":[116],"images":[117],"then":[119,164],"decomposes":[120],"images.":[121],"For":[122],"with":[125,131,235,279],"SNR,":[127],"we":[128,140],"propose":[129],"TICMR":[130,227,267,285],"nonlocal":[132,161,197,242],"variation":[134],"(NLTV)":[135],"regularization.":[136],"That":[137],"is,":[138],"using":[145,177,271],"measurement":[147],"binning,":[150],"build":[152],"NLTV":[154,166,200,237],"weights":[155,167,184],"from":[156],"this":[157,261],"characterize":[160],"features;":[163],"are":[168],"incorporated":[169],"into":[170],"NLTV-based":[172],"iterative":[173,232,283],"scheme":[176],"spectrally-binned":[178],"data,":[180],"so":[181],"these":[183],"serve":[185],"high-SNR":[188],"reference":[189],"regularize":[191],"reconstruction.":[193],"Note":[194],"property":[198],"essential":[202],"since":[206],"may":[209],"have":[210],"significant":[211],"local":[212],"intensity":[213],"variations":[214],"although":[215],"their":[216],"structural":[217],"often":[220],"similar.":[221],"In":[222,277],"solution":[225],"algorithm,":[226],"formulated":[229],"an":[231],"regularization,":[238],"divergence":[243],"based":[246],"on":[247],"adjoint":[249],"relationship.":[250],"alternating":[252],"direction":[253],"multipliers":[256],"developed":[258],"solve":[260],"sparsity":[262],"optimization":[263],"problem.":[264],"proposed":[266],"was":[269],"validated":[270],"simulated":[273],"experimental":[275],"data.":[276],"comparison":[278],"FBP":[280],"total-variation-based":[282],"method,":[284],"had":[286],"improved":[287],"quality,":[289],"e.g.,":[290],"contrast-to-noise":[291],"spatial":[294],"resolution.":[295]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
