{"doi":"10.1109/trpms.2025.3581204","title":"A Cross-Modality Transformer Network for MR-Guided Low-Dose Tau PET Image Denoising","abstract":"Tau PET imaging is an essential imaging modality for the diagnosis and monitoring of Alzheimer’s disease and related dementias. To enable tau PET imaging-based longitudinal monitoring of disease progression, further reducing the injected dose during each scan is important. In this work, we developed a novel deep learning approach that incorporated crossmodality transformer blocks to integrate both PET and MR prior information to further improve low-dose tau PET imaging. Both spatial and channel information were utilized during the calculation of cross-modality self-attention maps. Performance of the proposed method was evaluated based on the earlyframe and late-frame images from 139 dynamic 18F-MK-6240 tau PET datasets. Results showed that the proposed network can outperform other reference networks which concatenated PET and MR images together as the network input.","journal":"IEEE Transactions on Radiation and Plasma Medical Sciences","year":2025,"id":568742,"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":0.9458,"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":1473878,"name":"Cristina Lois Gómez","orcid":null,"position":1,"is_corresponding":false},{"id":1089596,"name":"Alex Becker","orcid":"0000-0001-7036-3075","position":2,"is_corresponding":false},{"id":909164,"name":"Emma G. Thibault","orcid":"0000-0002-7873-742X","position":3,"is_corresponding":false},{"id":275736,"name":"Julie C. Price","orcid":"0000-0001-7131-4865","position":4,"is_corresponding":false},{"id":1229162,"name":"Keith A. Johnson","orcid":"0000-0002-4685-5173","position":5,"is_corresponding":false},{"id":405049,"name":"Georges El Fakhri","orcid":"0000-0002-9005-6993","position":6,"is_corresponding":false},{"id":462864,"name":"Kuang Gong","orcid":"0000-0002-2669-2610","position":7,"is_corresponding":false},{"id":993445,"name":"Se‐In Jang","orcid":"0000-0001-6873-9192","position":0,"is_corresponding":true}],"reference_count":28,"raw_metadata":null,"created_at":"2026-07-19T02:56:55.795846Z","pmid":"41693715","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":[]}