{"doi":"10.1364/ao.51.008656","title":"Time-domain fluorescence-guided diffuse optical tomography based on the third-order simplified harmonics approximation","abstract":null,"journal":"Applied Optics","year":2012,"id":602514,"datarank":0.31191623125197543,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"self_citation_contribution":0.31191623125197543,"citation_network_contribution":0.0,"self_endowment_contribution":0.31191623125197543,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":830037,"name":"Wei Zhang","orcid":"0000-0002-3575-6225","position":1,"is_corresponding":false},{"id":1545236,"name":"Xi Yi","orcid":null,"position":2,"is_corresponding":false},{"id":30081,"name":"Jiao Li","orcid":"0000-0002-2258-8736","position":3,"is_corresponding":false},{"id":983770,"name":"Linhui Wu","orcid":null,"position":4,"is_corresponding":false},{"id":272334,"name":"Xin Wang","orcid":"0000-0003-4598-4173","position":5,"is_corresponding":false},{"id":304081,"name":"Limin Zhang","orcid":"0000-0001-5689-948X","position":6,"is_corresponding":false},{"id":483526,"name":"Zhongxing Zhou","orcid":"0000-0003-1935-2762","position":7,"is_corresponding":false},{"id":115583,"name":"Huijuan Zhao","orcid":null,"position":8,"is_corresponding":false},{"id":246439,"name":"Feng Gao","orcid":"0000-0002-7539-6455","position":9,"is_corresponding":false},{"id":1288653,"name":"Wenjuan Ma","orcid":"0000-0001-8637-0800","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Time-domain fluorescence-guided diffuse optical tomography based on the third-order simplified harmonics approximation","abstract":"Extensive efforts have been made to integrate diffuse optical tomography (DOT) with other imaging modalities, such as magnetic-resonance imaging and x-ray computerized tomography, for its performance improvement. However, the experimental apparatus is in general intricate and costly due to adoption of the physically distinct radiation regimes. In this study, a time-domain fluorescence-guided DOT methodology that incorporates a priori localization information provided by diffuse fluorescence tomography (DFT) is investigated in an attempt to optimize recovery of the optical property distributions. The methodology is based on a specifically designed multichannel time-correlated single-photon-counting DOT/DFT system as well as a featured-data image reconstruction scheme that is developed within the framework of the generalized pulse spectrum technique and employs the third-order simplified harmonics approximation to the radiative transfer equation as the forward model. We have validated the methodology using phantom experiments and demonstrated that, with the guidance of fluorescence a priori, the quantitativeness and spatial resolution of the recovered optical target can be considerably improved in terms of the absorption and scattering images.","is_dataset_classified":null,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"23262607","pmcid":null,"openalex_id":"https://openalex.org/W2085430790","authors":[],"funders":[{"funder_name":"National Natural Science Foundation of China","grant_id":"30970775","title":null},{"funder_name":"National Natural Science Foundation of China","grant_id":"81101106","title":null},{"funder_name":"National Natural Science Foundation of China","grant_id":"61108081","title":null},{"funder_name":"Chinese National Programs for High Technology Research and Development","grant_id":"2009AA02Z413","title":null},{"funder_name":"Tianjin Municipal Government of China","grant_id":"10JCZDJC17300","title":null}],"total_grants":5,"fwci":0.0,"citation_percentile":0.15448571,"influential_citations":0,"citation_trend":[{"year":2017,"count":2},{"year":2019,"count":1},{"year":2021,"count":1},{"year":2022,"count":2},{"year":2024,"count":1}],"oa_status":"closed","license":"https://doi.org/10.1364/OA_License_v1#VOR","oa_locations":[{"url":"https://www.osapublishing.org/viewmedia.cfm?URI=ao-51-36-8656&seq=0","host_type":"publisher"},{"url":"https://doi.org/10.1364/ao.51.008656","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/23262607","host_type":"repository"}],"fields_of_study":["Optical Imaging and Spectroscopy Techniques","Photoacoustic and Ultrasonic Imaging","Advanced Optical Sensing Technologies"],"mesh_terms":["Equipment Design","Image Enhancement","Microscopy, Fluorescence","Photometry","Phantoms, Imaging","Equipment Failure Analysis","Tomography, Optical"],"keywords":["Diffuse optical imaging","Optics","Optical tomography","Imaging phantom","Tomography","Physics","A priori and a posteriori","Radiative transfer","Photon counting","Tomosynthesis","Harmonics","Iterative reconstruction","Photon","Computer science","Mammography","Artificial intelligence"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-29T19:34:58.999620Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}