{"id":"https://openalex.org/W7161845149","doi":"https://doi.org/10.1109/isbi61048.2026.11515439","title":"MR-IQ Metric: A New Reference-Free Metric for Quantitative Preclinical MR Image Quality Assessment","display_name":"MR-IQ Metric: A New Reference-Free Metric for Quantitative Preclinical MR Image Quality Assessment","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161845149","doi":"https://doi.org/10.1109/isbi61048.2026.11515439"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","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/A5074037878","display_name":"Georgia Kanli","orcid":"https://orcid.org/0000-0001-8713-9838"},"institutions":[{"id":"https://openalex.org/I4210101141","display_name":"Luxembourg Institute of Health","ror":"https://ror.org/012m8gv78","country_code":"LU","type":"nonprofit","lineage":["https://openalex.org/I4210101141"]}],"countries":["LU"],"is_corresponding":true,"raw_author_name":"Georgia Kanli","raw_affiliation_strings":["Luxembourg Institute of Health (LIH),Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luxembourg Institute of Health (LIH),Luxembourg","institution_ids":["https://openalex.org/I4210101141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136605047","display_name":"Selma Boudissa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101141","display_name":"Luxembourg Institute of Health","ror":"https://ror.org/012m8gv78","country_code":"LU","type":"nonprofit","lineage":["https://openalex.org/I4210101141"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Selma Boudissa","raw_affiliation_strings":["Luxembourg Institute of Health (LIH),Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luxembourg Institute of Health (LIH),Luxembourg","institution_ids":["https://openalex.org/I4210101141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136511102","display_name":"Salah Gamizi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101141","display_name":"Luxembourg Institute of Health","ror":"https://ror.org/012m8gv78","country_code":"LU","type":"nonprofit","lineage":["https://openalex.org/I4210101141"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Salah Gamizi","raw_affiliation_strings":["Luxembourg Institute of Health (LIH),Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luxembourg Institute of Health (LIH),Luxembourg","institution_ids":["https://openalex.org/I4210101141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110346409","display_name":"Val\u00e9rie Palissot","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101141","display_name":"Luxembourg Institute of Health","ror":"https://ror.org/012m8gv78","country_code":"LU","type":"nonprofit","lineage":["https://openalex.org/I4210101141"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Val\u00e9rie Palissot","raw_affiliation_strings":["Luxembourg Institute of Health (LIH),Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luxembourg Institute of Health (LIH),Luxembourg","institution_ids":["https://openalex.org/I4210101141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055323289","display_name":"Radovan Ji\u0159\u00edk","orcid":"https://orcid.org/0000-0003-2555-9428"},"institutions":[{"id":"https://openalex.org/I4210124512","display_name":"Czech Academy of Sciences, Institute of Scientific Instruments","ror":"https://ror.org/027taah18","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210124512"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Radovan Ji\u0159ik","raw_affiliation_strings":["Institute of Scientific Instruments of the Czech Academy of Sciences,Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Scientific Instruments of the Czech Academy of Sciences,Czech Republic","institution_ids":["https://openalex.org/I4210124512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026216199","display_name":"Olivier Keunen","orcid":"https://orcid.org/0000-0003-2203-7026"},"institutions":[{"id":"https://openalex.org/I4210101141","display_name":"Luxembourg Institute of Health","ror":"https://ror.org/012m8gv78","country_code":"LU","type":"nonprofit","lineage":["https://openalex.org/I4210101141"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Olivier Keunen","raw_affiliation_strings":["Luxembourg Institute of Health (LIH),Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luxembourg Institute of Health (LIH),Luxembourg","institution_ids":["https://openalex.org/I4210101141"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074037878"],"corresponding_institution_ids":["https://openalex.org/I4210101141"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93680323,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.3555999994277954,"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":0.3555999994277954,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.11209999769926071,"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":0.08420000225305557,"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/metric","display_name":"Metric (unit)","score":0.5285000205039978},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45509999990463257},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39500001072883606},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35280001163482666},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.34450000524520874},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.34209999442100525}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6184999942779541},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5604000091552734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5468000173568726},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5285000205039978},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45509999990463257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35280001163482666},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.34450000524520874},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.29330000281333923},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2554999887943268},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W2026019078","https://openalex.org/W2133059825","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2146795245","https://openalex.org/W4224211833","https://openalex.org/W4295106663","https://openalex.org/W4392662259","https://openalex.org/W4397024364","https://openalex.org/W4401161095","https://openalex.org/W4401751316","https://openalex.org/W4403204386","https://openalex.org/W4403654806","https://openalex.org/W4404514557","https://openalex.org/W4405784693","https://openalex.org/W4408894510"],"related_works":[],"abstract_inverted_index":{"Objective":[0],"and":[1,45,83,93,118,131],"reproducible":[2,119],"evaluation":[3,120],"of":[4,15,121],"magnetic":[5],"resonance":[6],"imaging":[7],"(MRI)":[8],"quality":[9,30,95],"remains":[10],"challenging":[11],"in":[12],"the":[13,37],"absence":[14],"reliable":[16],"reference":[17],"data.":[18],"We":[19],"introduce":[20],"MR-IQ,":[21],"a":[22,55,60,65],"novel":[23],"open-source,":[24],"reference-free":[25],"metric":[26,114],"for":[27],"quantitative":[28],"MRI":[29,75,122],"assessment.":[31],"MR-IQ":[32,71,90],"combines":[33],"three":[34,50],"normalized":[35],"sub-metrics:":[36],"normalised":[38],"signal-to-noise":[39],"ratio":[40],"(nSNR),":[41],"sharpness":[42],"index":[43,47],"(SI),":[44],"artefact-free":[46],"(AFI).":[48],"These":[49],"sub-metrics":[51],"are":[52,98],"integrated":[53],"into":[54,127],"single":[56],"composite":[57],"score":[58],"via":[59],"harmonic":[61],"mean":[62],"formulation.":[63],"As":[64],"first":[66],"validation":[67],"study,":[68],"we":[69],"evaluate":[70],"exclusively":[72],"on":[73],"preclinical":[74],"data,":[76,123],"using":[77],"datasets":[78],"with":[79,101],"simulated":[80],"noise,":[81],"blur,":[82],"motion":[84],"artefacts.":[85],"The":[86,112],"results":[87],"demonstrate":[88],"that":[89,97],"provides":[91],"consistent":[92,100],"interpretable":[94],"scores":[96],"qualitatively":[99],"perceived":[102],"anatomical":[103],"degradation,":[104],"outperforming":[105],"conventional":[106],"blind":[107],"metrics":[108],"such":[109],"as":[110],"BRISQUE.":[111],"proposed":[113],"enables":[115],"quantitative,":[116],"artefact-sensitive,":[117],"facilitating":[124],"its":[125],"integration":[126],"automated":[128],"quality-control":[129],"pipelines":[130],"AIbased":[132],"reconstruction":[133],"workflows.":[134]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}
