{"id":"https://openalex.org/W7152371027","doi":"https://doi.org/10.48550/arxiv.2604.07154","title":"Bridging MRI and PET physiology: Untangling complementarity through orthogonal representations","display_name":"Bridging MRI and PET physiology: Untangling complementarity through orthogonal representations","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7152371027","doi":"https://doi.org/10.48550/arxiv.2604.07154"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.07154","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07154","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.07154","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128828850","display_name":"Sonja Adomeit","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Adomeit, Sonja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057801204","display_name":"Kartikay Tehlan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tehlan, Kartikay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115729138","display_name":"Lukas F\u00f6rner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F\u00f6rner, Lukas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113777474","display_name":"Katharina Weisser","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weisser, Katharina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133258956","display_name":"Helen Scholtiseek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Scholtiseek, Helen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077967037","display_name":"David Kaufmann","orcid":"https://orcid.org/0000-0002-9465-1263"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaufmann, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079078241","display_name":"Julie Steinestel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Steinestel, Julie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133311003","display_name":"Constantin Lapa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lapa, Constantin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071260048","display_name":"Thomas Kr\u00f6ncke","orcid":"https://orcid.org/0000-0003-4889-1036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kr\u00f6ncke, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011729018","display_name":"Thomas Wendler","orcid":"https://orcid.org/0000-0002-0915-0510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wendler, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5128828850"],"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/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.2563000023365021,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.2563000023365021,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10543","display_name":"Prostate Cancer Treatment and Research","score":0.181099995970726,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.11540000140666962,"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/residual","display_name":"Residual","score":0.669700026512146},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.5924000144004822},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5663999915122986},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4699999988079071},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4616999924182892},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.45249998569488525},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.40459999442100525},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.4007999897003174}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.669700026512146},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.5924000144004822},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5663999915122986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156999826431274},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4699999988079071},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4616999924182892},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.45249998569488525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43959999084472656},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4056999981403351},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3986999988555908},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36469998955726624},{"id":"https://openalex.org/C54940322","wikidata":"https://www.wikidata.org/wiki/Q3997740","display_name":"Orthogonal transformation","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2978000044822693},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.27379998564720154},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.26019999384880066},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.07154","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07154","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.07154","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07154","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"imaging":[1],"analysis":[2],"often":[3],"relies":[4],"on":[5,145],"joint":[6],"latent":[7],"representations,":[8],"yet":[9],"these":[10],"approaches":[11],"rarely":[12],"define":[13],"what":[14],"information":[15],"is":[16,23,170],"shared":[17],"versus":[18],"modality-specific.":[19],"Clarifying":[20],"this":[21],"distinction":[22],"clinically":[24],"relevant,":[25],"as":[26,50],"it":[27],"delineates":[28],"the":[29,83,122,125,150,163,167],"irreducible":[30],"contribution":[31],"of":[32,53,124,196],"each":[33],"modality":[34,197],"and":[35,73,140],"informs":[36],"rational":[37],"acquisition":[38],"strategies.":[39],"We":[40,60,107],"propose":[41],"a":[42,51,109,193],"subspace":[43,55],"decomposition":[44,115,191],"framework":[45],"that":[46,153,177],"reframes":[47],"multimodal":[48],"fusion":[49],"problem":[52],"orthogonal":[54,75,168],"separation":[56],"rather":[57,203],"than":[58,204],"translation.":[59,206],"decompose":[61],"Prostate-Specific":[62],"Membrane":[63],"Antigen":[64],"(PSMA)":[65],"PET":[66,105,179],"uptake":[67],"into":[68,162],"an":[69,74,92],"MRI-explainable":[70],"physiological":[71,135,187],"envelope":[72],"residual":[76,118,154,169],"reflecting":[77],"signal":[78,181],"components":[79,119,155,182],"not":[80,183],"expressible":[81],"within":[82,121],"MRI":[84,101,126,158],"feature":[85,102,127],"manifold.":[86,128],"Using":[87],"multiparametric":[88],"MRI,":[89],"we":[90],"train":[91],"intensity-based,":[93],"non-spatial":[94],"implicit":[95],"neural":[96],"representation":[97,201],"(INR)":[98],"to":[99,104,116],"map":[100],"vectors":[103],"uptake.":[106],"introduce":[108],"projection-based":[110],"regularization":[111],"using":[112],"singular":[113],"value":[114],"penalize":[117],"lying":[120],"span":[123],"This":[129,175],"enforces":[130],"mathematical":[131],"orthogonality":[132],"between":[133],"tissue-level":[134],"properties":[136],"(structure,":[137],"diffusion,":[138],"perfusion)":[139],"intracellular":[141],"PSMA":[142,178],"expression.":[143],"Tested":[144],"13":[146],"prostate":[147],"cancer":[148],"patients,":[149],"model":[151],"demonstrates":[152],"spanned":[156],"by":[157],"features":[159],"are":[160],"absorbed":[161],"learned":[164],"envelope,":[165],"while":[166],"largest":[171],"in":[172,200],"tumour":[173],"regions.":[174],"indicates":[176],"contains":[180],"recoverable":[184],"from":[185],"MRI-derived":[186],"descriptors.":[188],"The":[189],"resulting":[190],"provides":[192],"structured":[194],"characterization":[195],"complementarity":[198],"grounded":[199],"geometry":[202],"image":[205]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-04-10T00:00:00"}
