{"doi":"10.1364/boe.387364","title":"Dictionary learning technique enhances signal in LED-based photoacoustic imaging","abstract":"There has been growing interest in low-cost light sources such as light-emitting diodes (LEDs) as an excitation source in photoacoustic imaging. However, LED-based photoacoustic imaging is limited by low signal due to low energy per pulse-the signal is easily buried in noise leading to low quality images. Here, we describe a signal de-noising approach for LED-based photoacoustic signals based on dictionary learning with an alternating direction method of multipliers. This signal enhancement method is then followed by a simple reconstruction approach delay and sum. This approach leads to sparse representation of the main components of the signal. The main improvements of this approach are a 38% higher contrast ratio and a 43% higher axial resolution versus the averaging method but with only 4% of the frames and consequently 49.5% less computational time. This makes it an appropriate option for real-time LED-based photoacoustic imaging.","journal":"Biomedical Optics Express","year":2020,"id":98369,"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":31,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9546,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":485245,"name":"Ebrahim Najafzadeh","orcid":"0000-0001-8702-0722","position":1,"is_corresponding":false},{"id":314939,"name":"Ali Hariri","orcid":"0000-0003-0306-5013","position":2,"is_corresponding":false},{"id":485246,"name":"Saeedeh Navaei Lavasani","orcid":"0000-0001-5273-5998","position":3,"is_corresponding":false},{"id":485247,"name":"Bahador Makkiabadi","orcid":"0000-0002-9775-4057","position":4,"is_corresponding":false},{"id":485248,"name":"Alireza Ahmadian","orcid":"0000-0002-6394-9470","position":5,"is_corresponding":false},{"id":238364,"name":"Jesse V. Jokerst","orcid":"0000-0003-2829-6408","position":6,"is_corresponding":false},{"id":485244,"name":"Parastoo Farnia","orcid":"0000-0002-7554-5545","position":0,"is_corresponding":true}],"reference_count":55,"raw_metadata":null,"created_at":"2026-07-18T22:36:34.157932Z","pmid":"32499941","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":[]}