{"id":"https://openalex.org/W2138740999","doi":"https://doi.org/10.1109/icip.2008.4712235","title":"Combination of MR surface coil images using weighted constrained least squares","display_name":"Combination of MR surface coil images using weighted constrained least squares","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2138740999","doi":"https://doi.org/10.1109/icip.2008.4712235","mag":"2138740999"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on 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/A5107868098","display_name":"S. Derin Babacan","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S. Derin Babacan","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA","[EECS Department, Northwestern University, Evanston, IL]"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"[EECS Department, Northwestern University, Evanston, IL]","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101555208","display_name":"Xiaoming Yin","orcid":"https://orcid.org/0000-0002-5129-4008"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoming Yin","raw_affiliation_strings":["Radiology, Northwestern University, Chicago, IL, USA","[EECS Department, Northwestern University, Evanston, IL]"],"affiliations":[{"raw_affiliation_string":"Radiology, Northwestern University, Chicago, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"[EECS Department, Northwestern University, Evanston, IL]","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018462631","display_name":"Andrew C. Larson","orcid":"https://orcid.org/0000-0002-1223-7406"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew C. Larson","raw_affiliation_strings":["Radiology, Northwestern University, Chicago, IL, USA","Radiol. Northwestern Univ., Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Radiology, Northwestern University, Chicago, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Radiol. Northwestern Univ., Chicago, IL","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048650003","display_name":"Aggelos K. Katsaggelos","orcid":"https://orcid.org/0000-0003-4554-0070"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aggelos K. Katsaggelos","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA","[EECS Department, Northwestern University, Evanston, IL]"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"[EECS Department, Northwestern University, Evanston, IL]","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107868098"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.4977,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72700475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2236","last_page":"2239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998999834060669,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998999834060669,"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":0.9979000091552734,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9934999942779541,"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/electromagnetic-coil","display_name":"Electromagnetic coil","score":0.7616522312164307},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.6005514860153198},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5892801880836487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5459359288215637},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5446791052818298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5277840495109558},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5093458890914917},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49469301104545593},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4933072626590729},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4640117883682251},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4618939161300659},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.43027615547180176},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4294973611831665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4085767865180969},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.317497581243515},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14415472745895386},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12931931018829346},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08919209241867065},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07977563142776489}],"concepts":[{"id":"https://openalex.org/C30403606","wikidata":"https://www.wikidata.org/wiki/Q2981904","display_name":"Electromagnetic coil","level":2,"score":0.7616522312164307},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.6005514860153198},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5892801880836487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5459359288215637},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5446791052818298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5277840495109558},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5093458890914917},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49469301104545593},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4933072626590729},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4640117883682251},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4618939161300659},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.43027615547180176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4294973611831665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4085767865180969},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.317497581243515},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14415472745895386},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12931931018829346},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08919209241867065},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07977563142776489},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2008.4712235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.494.6838","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.494.6838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ivpl.ece.northwestern.edu/system/files/babacan_ICIP08_WCLS.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1579010912","https://openalex.org/W1983227752","https://openalex.org/W1993660008","https://openalex.org/W2008478579","https://openalex.org/W2013816305","https://openalex.org/W2114520862","https://openalex.org/W2120829258","https://openalex.org/W2170042613","https://openalex.org/W4235964766","https://openalex.org/W6634438460"],"related_works":["https://openalex.org/W2387913980","https://openalex.org/W2056841798","https://openalex.org/W2107386309","https://openalex.org/W1546160483","https://openalex.org/W2164203280","https://openalex.org/W2545869789","https://openalex.org/W2141090006","https://openalex.org/W1964555484","https://openalex.org/W3048932468","https://openalex.org/W2148504016"],"abstract_inverted_index":{"For":[0],"most":[1,46],"MR":[2],"imaging":[3],"applications":[4],"multiple":[5],"surface":[6,35,80],"coils":[7],"are":[8,27,49],"used":[9],"to":[10,32,38],"obtain":[11,39],"images":[12,37],"with":[13,23],"high":[14,41],"signal-to-noise":[15],"ratios":[16],"(SNR).":[17],"However,":[18],"signal":[19],"intensity":[20],"strongly":[21],"diminishes":[22],"distance.":[24],"Although":[25],"there":[26],"a":[28,40,58,66],"number":[29],"of":[30,47],"approaches":[31,90],"combine":[33],"the":[34,94],"coil":[36,81],"SNR":[42],"and":[43,56,88],"bias-free":[44],"image,":[45],"them":[48],"developed":[50],"in":[51,93],"an":[52,69],"ad":[53],"hoc":[54],"manner":[55],"lack":[57],"systematic":[59],"treatment.":[60],"In":[61],"this":[62],"work":[63],"we":[64],"propose":[65],"new":[67],"approach,":[68],"iterative":[70],"weighted":[71],"constrained":[72],"least":[73],"squares":[74],"(WCLS)":[75],"restoration":[76],"method,":[77],"for":[78],"combining":[79],"images.":[82],"The":[83],"algorithm":[84],"is":[85],"fully":[86],"automated":[87],"outperforms":[89],"which":[91],"appeared":[92],"literature.":[95]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}