{"doi":"10.1117/12.3048817","title":"Novel view synthesis using neural radiance fields for laparoscopic surgery navigation","abstract":"Laparoscopic surgery is a widely used minimally invasive technique to treat a variety of pathologies within the abdominopelvic region. Compared to conventional open surgery, laparoscopic surgery reduces iatrogenic trauma and hospital stay length. Nevertheless, surgeons have a limited field of view during operation because surgical instruments are inserted through the patient's body via small incisions. To improve surgeon's perception, surgical navigation techniques are implemented to improve visualization. A number of surgical navigation systems being developed are integrated with computer algorithms to enhance their efficiency. In this work, we generate novel views, depths, and camera poses of corresponding laparoscopic images to augment our dataset, which can then be used to train and evaluate learning-based computer vision algorithms such as simultaneous localization and mapping (SLAM) and visual odometry. Our existing dataset was generated from porcine tissue images using a laparoscope and an optical tracking system to capture camera poses. We performed tissue surface reconstruction of the dataset via the NeRF-SLAM algorithm. Camera poses were transformed to acquire novel views of RGB laparoscopic images and their corresponding depth images. The results show that the simulated RGB images have an average peak signal-to-noise ratios (PSNR) between 29.17 - 29.79 dB, structural similarity index measure (SSIM) value between 0.6061 - 0.6174, and learned perceptual image patch similarity (LPIPS) value between 0.568 - 0.592 compared to the corresponding input images. This work provides a foundation for the generation of synthetic datasets, which could be useful for learning-based autonomous surgical navigation systems.","journal":"PubMed","year":2025,"id":562113,"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":0.9539,"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":1330622,"name":"James Yu","orcid":"0000-0002-6482-8152","position":1,"is_corresponding":false},{"id":1162971,"name":"Kelden Pruitt","orcid":null,"position":2,"is_corresponding":false},{"id":254797,"name":"Baowei Fei","orcid":"0000-0002-9123-9484","position":3,"is_corresponding":false},{"id":1330974,"name":"Nati Nawawithan","orcid":null,"position":0,"is_corresponding":true}],"reference_count":15,"raw_metadata":null,"created_at":"2026-07-19T02:56:05.550545Z","pmid":"41122225","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":[]}