{"doi":"10.48550/arxiv.2408.03216","title":"Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI","abstract":"Prior work on the Image Quality Transfer on Diffusion MRI (dMRI) has shown significant improvement over traditional interpolation methods. However, the difficulty in obtaining ultra-high resolution Diffusion MRI scans poses a problem in training neural networks to obtain high-resolution dMRI scans. Here we hypothesise that the inclusion of structural MRI images, which can be acquired at much higher resolutions, can be used as a guide to obtaining a more accurate high-resolution dMRI output. To test our hypothesis, we have constructed a novel framework that incorporates structural MRI scans together with dMRI to obtain high-resolution dMRI scans. We set up tests which evaluate the validity of our claim through various configurations and compare the performance of our approach against a unimodal approach. Our results show that the inclusion of structural MRI scans do lead to an improvement in high-resolution image prediction when T1w data is incorporated into the model input.","journal":"arXiv (Cornell University)","year":2024,"id":492143,"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":0.955,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1045535,"name":"Henry F. J. Tregidgo","orcid":"0000-0002-3509-8154","position":1,"is_corresponding":false},{"id":1038076,"name":"Matteo Figini","orcid":"0000-0002-8238-2262","position":2,"is_corresponding":false},{"id":566977,"name":"Eirini Messaritaki","orcid":"0000-0002-9917-4160","position":3,"is_corresponding":false},{"id":1337978,"name":"Carolyn McNabb","orcid":"0000-0002-6434-5177","position":4,"is_corresponding":false},{"id":251250,"name":"Marco Palombo","orcid":"0000-0003-4892-7967","position":5,"is_corresponding":false},{"id":291233,"name":"John Evans","orcid":"0000-0002-6619-4245","position":6,"is_corresponding":false},{"id":237631,"name":"Mara Cercignani","orcid":"0000-0002-4550-2456","position":7,"is_corresponding":false},{"id":271622,"name":"Derek K. Jones","orcid":"0000-0003-4409-8049","position":8,"is_corresponding":false},{"id":244799,"name":"Daniel C. Alexander","orcid":"0000-0003-2439-350X","position":9,"is_corresponding":false},{"id":1338420,"name":"Alp G. Cicimen","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T02:08:49.768795Z","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":[]}