{"doi":"10.1186/s12968-021-00834-0","title":"Accelerated cardiac T1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T1 estimation approach","abstract":"To develop and evaluate MyoMapNet, a rapid myocardial T 1 mapping approach that uses fully connected neural networks (FCNN) to estimate T 1 values from four T 1 -weighted images collected after a single inversion pulse in four heartbeats (Look-Locker, LL4). We implemented an FCNN for MyoMapNet to estimate T 1 values from a reduced number of T 1 -weighted images and corresponding inversion-recovery times. We studied MyoMapNet performance when trained using native, post-contrast T 1 , or a combination of both. We also explored the effects of number of T 1 -weighted images (four and five) for native T 1 . After rigorous training using in-vivo modified Look-Locker inversion recovery (MOLLI) T 1 mapping data of 607 patients, MyoMapNet performance was evaluated using MOLLI T 1 data from 61 patients by discarding the additional T 1 -weighted images. Subsequently, we implemented a prototype MyoMapNet and LL4 on a 3 T scanner. LL4 was used to collect T 1 mapping data in 27 subjects with inline T 1 map reconstruction by MyoMapNet. The resulting T 1 values were compared to MOLLI. MyoMapNet trained using a combination of native and post-contrast T 1 -weighted images had excellent native and post-contrast T 1 accuracy compared to MOLLI. The FCNN model using four T 1 -weighted images yields similar performance compared to five T 1 -weighted images, suggesting that four T 1 weighted images may be sufficient. The inline implementation of LL4 and MyoMapNet enables successful acquisition and reconstruction of T 1 maps on the scanner. Native and post-contrast myocardium T 1 by MOLLI and MyoMapNet was 1170 ± 55 ms vs. 1183 ± 57 ms (P = 0.03), and 645 ± 26 ms vs. 630 ± 30 ms (P = 0.60), and native and post-contrast blood T 1 was 1820 ± 29 ms vs. 1854 ± 34 ms (P = 0.14), and 508 ± 9 ms vs. 514 ± 15 ms (P = 0.02), respectively. A FCNN, trained using MOLLI data, can estimate T 1 values from only four T 1 -weighted images. MyoMapNet enables myocardial T 1 mapping in four heartbeats with similar accuracy as MOLLI with inline map reconstruction.","journal":"Journal of Cardiovascular Magnetic Resonance","year":2022,"id":246063,"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":44,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9475,"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":317787,"name":"Hossam El‐Rewaidy","orcid":"0000-0002-5266-8702","position":1,"is_corresponding":false},{"id":865836,"name":"Salah Assana","orcid":"0009-0000-2134-0977","position":2,"is_corresponding":false},{"id":317789,"name":"Xiaoying Cai","orcid":"0000-0002-9650-0063","position":3,"is_corresponding":false},{"id":881793,"name":"Amine Amyar","orcid":"0000-0002-1689-1544","position":4,"is_corresponding":false},{"id":342550,"name":"Kelvin Chow","orcid":"0000-0003-0698-1746","position":5,"is_corresponding":false},{"id":383639,"name":"Xiaoming Bi","orcid":"0000-0001-6286-9172","position":6,"is_corresponding":false},{"id":398554,"name":"Tuyen Yankama","orcid":null,"position":7,"is_corresponding":false},{"id":881794,"name":"Julia Cirillo","orcid":"0009-0008-5254-6490","position":8,"is_corresponding":false},{"id":354010,"name":"Patrick Pierce","orcid":"0000-0002-0774-1827","position":9,"is_corresponding":false},{"id":354011,"name":"Beth Goddu","orcid":"0009-0006-2347-2686","position":10,"is_corresponding":false},{"id":310909,"name":"Long Ngo","orcid":"0000-0001-9349-7981","position":11,"is_corresponding":false},{"id":317794,"name":"Reza Nezafat","orcid":"0000-0002-1963-7138","position":12,"is_corresponding":false},{"id":489830,"name":"Rui Guo","orcid":"0000-0002-5188-6281","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-19T00:23:43.438539Z","pmid":"34986850","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":[]}