{"id":"https://openalex.org/W2789362765","doi":"https://doi.org/10.1117/12.2293632","title":"Tracking of liver vessel bifurcations in 3D+t ultrasound by subsequent approximations of a rigid shape model","display_name":"Tracking of liver vessel bifurcations in 3D+t ultrasound by subsequent approximations of a rigid shape model","publication_year":2018,"publication_date":"2018-03-13","ids":{"openalex":"https://openalex.org/W2789362765","doi":"https://doi.org/10.1117/12.2293632","mag":"2789362765"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293632","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},"type":"conference-paper","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/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":true,"raw_author_name":"Heinrich Martin Overhoff","raw_affiliation_strings":["Westf\u00e4lische Hochschule (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Westf\u00e4lische Hochschule (Germany)","institution_ids":["https://openalex.org/I4210145899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5111476212"],"corresponding_institution_ids":["https://openalex.org/I4210145899"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00786645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9944000244140625,"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":0.9944000244140625,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9922999739646912,"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/T11366","display_name":"Elasticity and Material Modeling","score":0.9775999784469604,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7786107063293457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4752002954483032},{"id":"https://openalex.org/keywords/3d-ultrasound","display_name":"3D ultrasound","score":0.4161451756954193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39286741614341736},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.37232154607772827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33378440141677856},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.26594528555870056},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.24124491214752197}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7786107063293457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4752002954483032},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.4161451756954193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39286741614341736},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.37232154607772827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33378440141677856},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.26594528555870056},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.24124491214752197},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2293632","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling","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":4,"referenced_works":["https://openalex.org/W1787193589","https://openalex.org/W2013403423","https://openalex.org/W2116443211","https://openalex.org/W2565824187"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Liver":[0],"motion":[1,224],"induced":[2],"by":[3],"respiratory":[4],"or":[5,14,20,33],"cardiac":[6],"movement":[7],"can":[8],"limit":[9],"the":[10,36,51,64,100,113,118,122,127,134,143,232,247],"precision":[11,52],"of":[12,42,53,59,99,112,136,147,171,194,246],"diagnostic":[13],"therapeutic":[15],"procedures":[16],"like":[17],"core":[18],"biopsies":[19],"radiation":[21],"therapy.":[22],"Ultrasound":[23],"provides":[24],"higher":[25],"image":[26,54],"volume":[27,129,161,204],"acquisition":[28],"rates":[29],"compared":[30],"to":[31,78,91,105,234],"CT":[32],"MRI.":[34],"Notwithstanding":[35],"occasionally":[37],"poor":[38],"vessel":[39,43,60,95,101,229],"contrast,":[40],"tracking":[41,58,212],"bifurcations":[44,61,170,236],"in":[45,169],"3-D+t":[46,160],"ultrasound":[47],"sequences":[48,162],"may":[49,237],"improve":[50],"guided":[55],"interventions.":[56],"For":[57,115,190],"only":[62,63],"liver\u2019s":[65],"translation":[66,125],"is":[67,72,82,103,156,183,217],"considered":[68],"and":[69,84,121,178,226],"its":[70,85,152],"rotation/expansion":[71],"neglected.":[73],"Each":[74],"3-D":[75],"sub-volume":[76],"supposed":[77],"contain":[79],"a":[80,106,191,208,241],"bifurcation":[81],"translated":[83],"voxels":[86,102],"are":[87,130,140,167],"locally":[88],"adaptively":[89],"binarized":[90],"separate":[92],"tissue":[93],"vs.":[94,126,185],"voxels.":[96],"The":[97,145,154,219],"surface":[98],"approximated":[104],"data-driven":[107],"time-varying":[108],"Y-like":[109],"shape":[110,138],"model":[111],"bifurcation.":[114],"each":[116],"time-stamp,":[117],"binarization":[119],"threshold":[120],"bifurcation\u2019s":[123,148],"center":[124,149],"predecessor":[128],"chosen":[131],"such":[132],"that":[133],"differences":[135],"successive":[137],"models":[139],"minimized":[141],"w.r.t.":[142],"&ell;<sub>0.5</sub>-norm.":[144],"sequence":[146],"translations":[150],"defines":[151],"trajectory.":[153],"method":[155],"evaluated":[157,184],"on":[158],"7":[159,176],"with":[163,173],"14":[164],"annotations,":[165],"which":[166],"placed":[168],"vessels":[172],"diameters":[174],"between":[175],"mm":[177,196,199,216],"9":[179],"mm.":[180],"Tracking":[181],"performance":[182],"manually":[186],"annotated":[187],"reference":[188],"translations.":[189],"voxel":[192],"spacing":[193],"1.1":[195],"&times;":[197,200],"0.6":[198],"1.2":[201],"mm,":[202,207],"i.e.":[203],"diagonal":[205],"1.8":[206],"90%-quantile":[209],"&ell;<sub>2</sub>-":[210],"norm":[211],"error":[213],"&lt;":[214],"2.1":[215],"achieved.":[218],"algorithm":[220,233],"gives":[221],"local":[222],"translational":[223],"information":[225],"tracks":[227],"individual":[228],"bifurcations.":[230],"Applying":[231],"several":[235],"additionally":[238],"allow":[239],"determining":[240],"more":[242],"global":[243],"displacement":[244],"field":[245],"liver.":[248]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}