{"id":"https://openalex.org/W1986497123","doi":"https://doi.org/10.1117/12.2082295","title":"Needle position estimation from sub-sampled k-space data for MRI-guided interventions","display_name":"Needle position estimation from sub-sampled k-space data for MRI-guided interventions","publication_year":2015,"publication_date":"2015-03-18","ids":{"openalex":"https://openalex.org/W1986497123","doi":"https://doi.org/10.1117/12.2082295","mag":"1986497123"},"language":"en","primary_location":{"id":"doi:10.1117/12.2082295","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2082295","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5019258607","display_name":"Sebastian Schmitt","orcid":"https://orcid.org/0000-0002-3906-2933"},"institutions":[{"id":"https://openalex.org/I4210145899","display_name":"Westf\u00e4lische Hochschule","ror":"https://ror.org/04p7ekn23","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210145899"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Schmitt","raw_affiliation_strings":["Westf\u00e4lische Hochschule (Germany)"],"affiliations":[{"raw_affiliation_string":"Westf\u00e4lische Hochschule (Germany)","institution_ids":["https://openalex.org/I4210145899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058266758","display_name":"Morwan Choli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morwan Choli","raw_affiliation_strings":["MR:comp GmbH (Germany)"],"affiliations":[{"raw_affiliation_string":"MR:comp GmbH (Germany)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111476212","display_name":"Heinrich Martin Overhoff","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145899","display_name":"Westf\u00e4lische Hochschule","ror":"https://ror.org/04p7ekn23","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210145899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heinrich M. Overhoff","raw_affiliation_strings":["Westf\u00e4lische Hochschule (Germany)"],"affiliations":[{"raw_affiliation_string":"Westf\u00e4lische Hochschule (Germany)","institution_ids":["https://openalex.org/I4210145899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019258607"],"corresponding_institution_ids":["https://openalex.org/I4210145899"],"apc_list":null,"apc_paid":null,"fwci":0.2635,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61121204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9415","issue":null,"first_page":"94152G","last_page":"94152G"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9987999796867371,"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":0.9987999796867371,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9976000189781189,"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":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.7043356895446777},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.6572669148445129},{"id":"https://openalex.org/keywords/k-space","display_name":"k-space","score":0.6325060725212097},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6084170937538147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5269356966018677},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.5036882758140564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.495047003030777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4927249252796173},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4648163914680481},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4145219922065735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34320950508117676},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.2880859375},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2139281928539276},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15654891729354858},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15298119187355042},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15023723244667053},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.13707494735717773}],"concepts":[{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.7043356895446777},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.6572669148445129},{"id":"https://openalex.org/C197413143","wikidata":"https://www.wikidata.org/wiki/Q1050490","display_name":"k-space","level":3,"score":0.6325060725212097},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6084170937538147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5269356966018677},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.5036882758140564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.495047003030777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4927249252796173},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4648163914680481},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4145219922065735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34320950508117676},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.2880859375},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2139281928539276},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15654891729354858},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15298119187355042},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15023723244667053},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.13707494735717773},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2082295","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2082295","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W212537071","https://openalex.org/W1937255649","https://openalex.org/W2078050615","https://openalex.org/W2117160587","https://openalex.org/W2316137396","https://openalex.org/W2478727422","https://openalex.org/W6640238925","https://openalex.org/W6670264998","https://openalex.org/W6677553181"],"related_works":["https://openalex.org/W2242098268","https://openalex.org/W4244945894","https://openalex.org/W4224881918","https://openalex.org/W2003462717","https://openalex.org/W2802042052","https://openalex.org/W174828583","https://openalex.org/W1987609185","https://openalex.org/W2321986606","https://openalex.org/W2059098648","https://openalex.org/W2021714185"],"abstract_inverted_index":{"MRI-guided":[0],"interventions":[1],"have":[2],"gained":[3],"much":[4],"interest.":[5],"They":[6],"profit":[7],"from":[8,107,132],"intervention":[9],"synchronous":[10],"data":[11,19,162],"acquisition":[12,20,30],"and":[13,49,174,183,188],"image":[14,103],"visualization.":[15],"Due":[16],"to":[17,43,156,214],"long":[18],"durations,":[21],"ergonomic":[22],"limitations":[23],"may":[24],"occur.":[25],"For":[26],"a":[27,32,68,72,82,89,98,101,120,126,133],"trueFISP":[28],"MRI-data":[29],"sequence,":[31],"time":[33,114],"sparing":[34],"sub-sampling":[35],"strategy":[36],"has":[37],"been":[38],"developed":[39],"that":[40,104,201],"is":[41,62,71,76,105,186,204],"adapted":[42],"amagnetic":[44],"needle":[45,53,90,121,134,144,166,172,175],"detection.":[46],"A":[47],"symmetrical":[48],"contrast":[50],"rich":[51],"susceptibility":[52],"artifact,":[54],"i.e.":[55,178],"an":[56],"approximately":[57],"rectangular":[58,69],"gray":[59],"scale":[60],"profile":[61],"assumed.":[63],"The":[64,169,198],"1-D-Fourier":[65],"transformed":[66],"of":[67,142,158,171,217],"function":[70],"sinc-function.":[73],"Its":[74],"periodicity":[75],"exploited":[77],"by":[78,148],"sampling":[79],"only":[80],"along":[81,125],"few":[83],"orthogonal":[84],"trajectories":[85],"in":[86,100,190],"k-space.":[87],"Because":[88],"moves":[91],"during":[92],"intervention,":[93],"its":[94,191],"tip":[95,145,167,176],"region":[96],"resembles":[97],"rectangle":[99],"time-difference":[102],"reconstructed":[106],"such":[108],"sub-sampled":[109],"k-spaces":[110],"acquired":[111],"at":[112],"different":[113,117],"stamps.":[115],"In":[116,138],"phantom":[118],"experiments,":[119],"was":[122,130,146,163],"pushed":[123],"forward":[124],"reference":[127,182],"trajectory,":[128],"which":[129],"determined":[131],"holders":[135],"geometric":[136],"parameters.":[137],"addition,":[139],"the":[140,143,149,159,179,202,215,218],"trajectory":[141],"estimated":[147,184],"method":[150,203,219],"described":[151],"above.":[152],"Only":[153],"ca.":[154],"4":[155],"5%":[157],"entire":[160],"k-space":[161],"used":[164],"for":[165,220],"estimation.":[168],"misalignment":[170],"orientation":[173],"position,":[177],"differences":[180],"between":[181],"values,":[185],"small":[187],"even":[189],"worst":[192],"case":[193],"less":[194],"than":[195],"2":[196],"mm.":[197],"results":[199],"show":[200],"applicable":[205],"under":[206],"nearly":[207],"real":[208],"conditions.":[209],"Next":[210],"steps":[211],"are":[212],"addressed":[213],"validation":[216],"clinical":[221],"data.":[222]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}