{"id":"https://openalex.org/W7130597119","doi":"https://doi.org/10.48550/arxiv.2602.15917","title":"ROIX-Comp: Optimizing X-ray Computed Tomography Imaging Strategy for Data Reduction and Reconstruction","display_name":"ROIX-Comp: Optimizing X-ray Computed Tomography Imaging Strategy for Data Reduction and Reconstruction","publication_year":2026,"publication_date":"2026-02-17","ids":{"openalex":"https://openalex.org/W7130597119","doi":"https://doi.org/10.48550/arxiv.2602.15917"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.15917","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.15917","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.15917","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108943700","display_name":"Amarjit Singh","orcid":"https://orcid.org/0000-0002-7081-7329"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singh, Amarjit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126439263","display_name":"Kento Sato","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sato, Kento","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126365043","display_name":"Kohei Yoshida","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoshida, Kohei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066407806","display_name":"Kentaro Uesugi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Uesugi, Kentaro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013952361","display_name":"Yasumasa Joti","orcid":"https://orcid.org/0000-0002-4040-5972"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joti, Yasumasa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122351682","display_name":"Takaki Hatsui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hatsui, Takaki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5117249739","display_name":"Andr\u00e9s Rubio Proa\u00f1o","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Proa\u00f1o, Andr\u00e8s Rubio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.18129999935626984,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.18129999935626984,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.11190000176429749,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.08900000154972076,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.718500018119812},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6539000272750854},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6241000294685364},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5690000057220459},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4943999946117401},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.47279998660087585},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.42750000953674316},{"id":"https://openalex.org/keywords/data-reduction","display_name":"Data reduction","score":0.4235999882221222},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.42100000381469727},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4156000018119812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319999933242798},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.718500018119812},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6539000272750854},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6241000294685364},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5690000057220459},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4943999946117401},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.47279998660087585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46799999475479126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4325000047683716},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.42750000953674316},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.4235999882221222},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4156000018119812},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.40540000796318054},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.3946000039577484},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3693000078201294},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3553999960422516},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.351500004529953},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.32100000977516174},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32010000944137573},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.15917","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.15917","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.15917","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.15917","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"high-performance":[1],"computing":[2],"(HPC)":[3],"environments,":[4],"particularly":[5],"in":[6,131],"synchrotron":[7],"radiation":[8],"facilities,":[9],"vast":[10],"amounts":[11],"of":[12,104,151],"X-ray":[13,19],"images":[14],"are":[15],"generated.":[16],"Processing":[17],"large-scale":[18],"Computed":[20],"Tomography":[21],"(X-CT)":[22],"datasets":[23,143],"presents":[24],"significant":[25],"computational":[26,112],"and":[27,35,45,53,75,109,127,144],"storage":[28,43],"challenges":[29],"due":[30],"to":[31,100,106,154],"their":[32],"high":[33,46],"dimensionality":[34],"data":[36,72,83,105],"volume.":[37],"Traditional":[38],"approaches":[39],"often":[40],"require":[41],"extensive":[42],"capacity":[44],"transmission":[47],"bandwidth,":[48],"limiting":[49],"real-time":[50],"processing":[51,91],"capabilities":[52],"workflow":[54],"efficiency.":[55],"To":[56],"address":[57],"these":[58],"constraints,":[59],"we":[60,96],"introduce":[61],"a":[62,146],"region-of-interest":[63],"(ROI)-driven":[64],"extraction":[65,122],"framework":[66,139],"(ROIX-Comp)":[67],"that":[68],"intelligently":[69],"compresses":[70],"X-CT":[71,142],"by":[73],"identifying":[74],"retaining":[76],"only":[77],"essential":[78],"features.":[79],"Our":[80],"work":[81],"reduces":[82],"volume":[84],"while":[85],"preserving":[86],"critical":[87],"information":[88],"for":[89],"downstream":[90],"tasks.":[92],"At":[93,114],"pre-processing":[94],"stage,":[95,117],"utilize":[97],"error-bounded":[98],"quantization":[99],"reduce":[101],"the":[102,115,155],"amount":[103],"be":[107],"processed":[108],"therefore":[110],"improve":[111],"efficiencies.":[113],"compression":[116,134,148],"our":[118],"methodology":[119],"combines":[120],"object":[121],"with":[123],"multiple":[124],"state-of-the-art":[125],"lossless":[126],"lossy":[128],"compressors,":[129],"resulting":[130],"significantly":[132],"improved":[133],"ratios.":[135],"We":[136],"evaluated":[137],"this":[138],"against":[140],"seven":[141],"observed":[145],"relative":[147],"ratio":[149],"improvement":[150],"12.34x":[152],"compared":[153],"standard":[156],"compression.":[157]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-20T00:00:00"}