{"doi":"10.1117/1.jbo.29.2.027004","title":"Application of transfer learning for rapid calibration of spatially resolved diffuse reflectance probes for extraction of tissue optical properties","abstract":"SignificanceTreatment planning for light-based therapies including photodynamic therapy requires tissue optical property knowledge. This is recoverable with spatially resolved diffuse reflectance spectroscopy (DRS) but requires precise source–detector separation (SDS) determination and time-consuming simulations.AimAn artificial neural network (ANN) to map from DRS at multiple SDS to optical properties was created. This trained ANN was adapted to fiber-optic probes with varying SDS using transfer learning (TL).ApproachAn ANN mapping from measurements to Monte Carlo simulation to optical properties was created with one fiber-optic probe. A second probe with different SDS was used for TL algorithm creation. Data from a third were used to test this algorithm.ResultsThe initial ANN recovered absorber concentration with RMSE=0.29 μM (7.5% mean error) and μs′ at 665 nm (μs,665′) with RMSE=0.77 cm−1 (2.5% mean error). For probe 2, TL significantly improved absorber concentration (0.38 versus 1.67 μM RMSE, p=0.0005) and μ′s,665 (0.71 versus 1.8 cm−1 RMSE, p=0.0005) recovery. A third probe also showed improved absorber (0.7 versus 4.1 μM RMSE, p<0.0001) and μs,665′ (1.68 versus 2.08 cm−1 RMSE, p=0.2) recovery.ConclusionsTL-based probe-to-probe calibration can rapidly adapt an ANN created for one probe to similar target probes, enabling accurate optical property recovery with the target probe.","journal":"Journal of Biomedical Optics","year":2024,"id":470579,"datarank":0.1847673612197981,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.019975517919581635,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.019975517919581635,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":2,"citers_with_citation_signal":2,"citers_with_endowment":2,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9484,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":432304,"name":"Timothy M. Baran","orcid":"0000-0002-4476-5609","position":1,"is_corresponding":false},{"id":1163955,"name":"Md Nafiz Hannan","orcid":null,"position":0,"is_corresponding":true}],"reference_count":33,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:05:40.740958Z","pmid":"38419753","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":[]}