{"id":"https://openalex.org/W2888851300","doi":"https://doi.org/10.1109/sam.2018.8448478","title":"Fast kq-Space Sampling with Motion-Induced Phase in Diffusion MRI","display_name":"Fast kq-Space Sampling with Motion-Induced Phase in Diffusion MRI","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2888851300","doi":"https://doi.org/10.1109/sam.2018.8448478","mag":"2888851300"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2018.8448478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2018.8448478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5073705239","display_name":"Marica Pesce","orcid":null},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Marica Pesce","raw_affiliation_strings":["Institute of Sensors, Signals and Systems, Heriot-Watt University, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Institute of Sensors, Signals and Systems, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083254809","display_name":"Audrey Repetti","orcid":"https://orcid.org/0000-0002-6296-6957"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Audrey Repetti","raw_affiliation_strings":["Institute of Sensors, Signals and Systems, Heriot-Watt University, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Institute of Sensors, Signals and Systems, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041620227","display_name":"Yves Wiaux","orcid":"https://orcid.org/0000-0002-1658-0121"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yves Wiaux","raw_affiliation_strings":["Institute of Sensors, Signals and Systems, Heriot-Watt University, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Institute of Sensors, Signals and Systems, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073705239"],"corresponding_institution_ids":["https://openalex.org/I32062511"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13283989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"420","last_page":"424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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":0.9994999766349792,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9972000122070312,"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/undersampling","display_name":"Undersampling","score":0.9407382011413574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5868438482284546},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5714977979660034},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5446493029594421},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5364933609962463},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5156306028366089},{"id":"https://openalex.org/keywords/fiber","display_name":"Fiber","score":0.5127125978469849},{"id":"https://openalex.org/keywords/phase-space","display_name":"Phase space","score":0.46832162141799927},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46297165751457214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4525153636932373},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.4194096624851227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3926035761833191},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3247312605381012},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2959151864051819},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.15242841839790344},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.12006238102912903}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.9407382011413574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5868438482284546},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5714977979660034},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5446493029594421},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5364933609962463},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5156306028366089},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.5127125978469849},{"id":"https://openalex.org/C151342819","wikidata":"https://www.wikidata.org/wiki/Q62542","display_name":"Phase space","level":2,"score":0.46832162141799927},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46297165751457214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4525153636932373},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.4194096624851227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3926035761833191},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3247312605381012},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2959151864051819},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.15242841839790344},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.12006238102912903},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2018.8448478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2018.8448478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1205052666","display_name":null,"funder_award_id":"EP/M019306/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G802533138","display_name":null,"funder_award_id":"EP/M008843/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1733734840","https://openalex.org/W1964802316","https://openalex.org/W1981176642","https://openalex.org/W1988954604","https://openalex.org/W2001611992","https://openalex.org/W2006262045","https://openalex.org/W2034252184","https://openalex.org/W2051843264","https://openalex.org/W2060416311","https://openalex.org/W2080439432","https://openalex.org/W2100556411","https://openalex.org/W2107861471","https://openalex.org/W2116366076","https://openalex.org/W2127079904","https://openalex.org/W2138836107","https://openalex.org/W2146693559","https://openalex.org/W2160917765","https://openalex.org/W2162632094","https://openalex.org/W2168399082","https://openalex.org/W2172084009","https://openalex.org/W2550828940","https://openalex.org/W2787052285","https://openalex.org/W3102723347"],"related_works":["https://openalex.org/W2109073422","https://openalex.org/W2887783772","https://openalex.org/W2101754595","https://openalex.org/W4249381695","https://openalex.org/W2534887053","https://openalex.org/W2026172757","https://openalex.org/W2080076470","https://openalex.org/W4389292014","https://openalex.org/W2394059563","https://openalex.org/W2017942469"],"abstract_inverted_index":{"High":[0],"spatio-angular":[1],"resolution":[2],"diffusion":[3],"MRI":[4],"has":[5],"been":[6],"shown":[7],"to":[8,24,43,57],"provide":[9],"accurate":[10],"identification":[11],"of":[12,121],"complex":[13],"fiber":[14,47,123],"configurations.":[15,48],"However,":[16],"its":[17],"application":[18],"in":[19,109],"clinics":[20],"remains":[21],"limited":[22],"due":[23],"the":[25,45,50,66,70,81,93,96,111,113,119,122],"long":[26],"required":[27],"acquisition":[28],"time.":[29],"Recently,":[30],"we":[31,53],"have":[32],"developed":[33],"a":[34,59],"method":[35,56],"relying":[36],"on":[37,87],"an":[38],"accelerated":[39],"kq-space":[40,67],"undersampling":[41],"scheme":[42],"recover":[44],"intra-voxel":[46],"In":[49],"current":[51],"work,":[52],"generalize":[54],"our":[55],"consider":[58],"more":[60],"realistic":[61,88],"setting.":[62],"We":[63],"include":[64],"into":[65],"measurement":[68],"model":[69],"phase":[71,97,114],"contamination":[72,115],"induced":[73],"by":[74],"magnetic":[75],"field":[76],"inhomogeneities":[77],"and":[78,101],"motion":[79],"during":[80],"signal":[82],"acquisition.":[83],"Simulations":[84],"are":[85],"performed":[86],"synthetic":[89],"data,":[90],"considering":[91],"both":[92,110],"cases":[94],"when":[95,102],"is":[98,104],"perfectly":[99],"known,":[100],"it":[103],"pre-calibrated.":[105],"Results":[106],"show":[107],"that,":[108],"cases,":[112],"does":[116],"not":[117],"penalize":[118],"recovery":[120],"configuration.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
