{"doi":"10.1117/1.jbo.30.2.025003","title":"Basis function model to extract the combined confocal and fall-off function from multiple optical coherence tomography A-scans","abstract":"Significance: Many derivatives of optical coherence tomography (OCT) rely on the depth-dependent information of the sample in the image. System depth-dependent effects, such as the confocal effect and the sensitivity fall-off, should be corrected to improve the accuracy of the images and information derived from them. Aim: We developed a new single-shot method to extract the combined confocal and fall-off functions and remove system-generated depth-dependent effects from OCT images. Approach: The combined function is modeled as a linear combination of basis functions whose coefficients are found from two or more A-scans (or B-scans) of a sample that are vertically shifted within the imaging range. No prior knowledge of the OCT system parameters or assumed form for the confocal and fall-off functions is needed. Results: The method was derived and validated with simulations and OCT images of a phantom, a biological sample, and human retina. Improvement over the Ratio Fit method was demonstrated. Conclusions: The improvement in the extraction of the combined confocal and fall-off effects by this method should lead to improved medical diagnosis through more accurate attenuation coefficient calculations. The method enables future applications of OCT where precise removal of all depth-dependent effects on OCT images is critical.","journal":"Journal of Biomedical Optics","year":2025,"id":562610,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9593,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":308617,"name":"Martin C. Were","orcid":"0000-0003-3010-011X","position":1,"is_corresponding":false},{"id":749292,"name":"Jörn-Hendrik Weitkamp","orcid":"0000-0002-6654-4823","position":2,"is_corresponding":false},{"id":658820,"name":"Audrey K. Bowden","orcid":"0000-0002-5412-3976","position":3,"is_corresponding":false},{"id":1465182,"name":"Duy Tung Phan","orcid":"0000-0003-1783-2519","position":0,"is_corresponding":true}],"reference_count":15,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:56:09.638214Z","pmid":"40027922","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":[]}