{"doi":"10.1117/12.2653999","title":"Investigation of probability maps in deep-learning-based brain ventricle parcellation","abstract":"Normal Pressure Hydrocephalus (NPH) is a brain disorder associated with ventriculomegaly. Accurate segmentation of the ventricle system into its sub-compartments from magnetic resonance images (MRIs) could help evaluate NPH patients for surgical intervention. In this paper, we modify a 3D U-net utilizing probability maps to perform accurate ventricle parcellation, even with grossly enlarged ventricles and post-surgery shunt artifacts, from MRIs. Our method achieves a mean dice similarity coefficient (DSC) on whole ventricles for healthy controls of 0.864 ± 0.047 and 0.961 ± 0.024 for NPH patients. Furthermore, with the benefit of probability maps, the proposed method provides superior performance on MRI with grossly enlarged ventricles (mean DSC value of 0.965 ± 0.027) or post-surgery shunt artifacts (mean DSC value of 0.964 ± 0.031). Results indicate that our method provides a high robust parcellation tool on the ventricular systems which is comparable to other state-of-the-art methods.","journal":"PubMed","year":2023,"id":391296,"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":0.9575,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1042208,"name":"Anqi Feng","orcid":null,"position":1,"is_corresponding":false},{"id":301868,"name":"Yuan Xue","orcid":"0000-0002-7846-4273","position":2,"is_corresponding":false},{"id":1163622,"name":"Muhan Shao","orcid":"0000-0002-4686-4395","position":3,"is_corresponding":false},{"id":1162368,"name":"Ari M. Blitz","orcid":"0000-0002-6763-2112","position":4,"is_corresponding":false},{"id":539653,"name":"Mark G. Luciano","orcid":"0000-0003-1456-9559","position":5,"is_corresponding":false},{"id":249457,"name":"Aaron Carass","orcid":"0000-0003-4939-5085","position":6,"is_corresponding":false},{"id":249467,"name":"Jerry L. Prince","orcid":"0000-0002-6553-0876","position":7,"is_corresponding":false},{"id":577748,"name":"Yuli Wang","orcid":"0000-0003-3311-2810","position":0,"is_corresponding":true}],"reference_count":32,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:18:42.653719Z","pmid":"38013746","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":[]}