{"doi":"10.48550/arxiv.2204.04771","title":"Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth","abstract":"We propose a new plug-and-play priors (PnP) based MR image reconstruction method that systematically enforces data consistency while also exploiting deep-learning priors. Our prior is specified through a convolutional neural network (CNN) trained without any artifact-free ground truth to remove undersampling artifacts from MR images. The results on reconstructing free-breathing MRI data into ten respiratory phases show that the method can form high-quality 4D images from severely undersampled measurements corresponding to acquisitions of about 1 and 2 minutes in length. The results also highlight the competitive performance of the method compared to several popular alternatives, including the TGV regularization and traditional UNet3D.","journal":"arXiv (Cornell University)","year":2022,"id":304517,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9511,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":565104,"name":"Cihat Eldeniz","orcid":"0000-0002-4457-0916","position":1,"is_corresponding":false},{"id":565105,"name":"Jiaming Liu","orcid":"0000-0002-1042-4443","position":2,"is_corresponding":false},{"id":997404,"name":"Sihao Chen","orcid":"0000-0001-8416-4261","position":3,"is_corresponding":false},{"id":274286,"name":"Hongyu An","orcid":"0000-0001-6459-2269","position":4,"is_corresponding":false},{"id":565106,"name":"Ulugbek S. Kamilov","orcid":"0000-0001-6770-3278","position":5,"is_corresponding":false},{"id":565102,"name":"Weijie Gan","orcid":"0000-0003-3604-784X","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T00:32:32.651796Z","pmid":null,"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":[]}