{"doi":"10.1002/hbm.26580","title":"A practical evaluation of measures derived from compressed sensing diffusion spectrum imaging","abstract":"Diffusion Spectrum Imaging (DSI) using dense Cartesian sampling of q-space has been shown to provide important advantages for modeling complex white matter architecture. However, its adoption has been limited by the lengthy acquisition time required. Sparser sampling of q-space combined with compressed sensing (CS) reconstruction techniques has been proposed as a way to reduce the scan time of DSI acquisitions. However prior studies have mainly evaluated CS-DSI in post-mortem or non-human data. At present, the capacity for CS-DSI to provide accurate and reliable measures of white matter anatomy and microstructure in the living human brain remains unclear. We evaluated the accuracy and inter-scan reliability of 6 different CS-DSI schemes that provided up to 80% reductions in scan time compared to a full DSI scheme. We capitalized on a dataset of 26 participants who were scanned over eight independent sessions using a full DSI scheme. From this full DSI scheme, we subsampled images to create a range of CS-DSI images. This allowed us to compare the accuracy and inter-scan reliability of derived measures of white matter structure (bundle segmentation, voxel-wise scalar maps) produced by the CS-DSI and the full DSI schemes. We found that CS-DSI estimates of both bundle segmentations and voxel-wise scalars were nearly as accurate and reliable as those generated by the full DSI scheme. Moreover, we found that the accuracy and reliability of CS-DSI was higher in white matter bundles that were more reliably segmented by the full DSI scheme. As a final step, we replicated the accuracy of CS-DSI in a prospectively acquired dataset (n = 20, scanned once). Together, these results illustrate the utility of CS-DSI for reliably delineating in vivo white matter architecture in a fraction of the scan time, underscoring its promise for both clinical and research applications.","journal":"Human Brain Mapping","year":2024,"id":448451,"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":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9503,"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":378195,"name":"Chenying Zhao","orcid":"0000-0001-7878-6259","position":1,"is_corresponding":false},{"id":274928,"name":"Valerie J. Sydnor","orcid":"0000-0002-8640-668X","position":2,"is_corresponding":false},{"id":274059,"name":"Erica B. Baller","orcid":"0000-0002-7987-3773","position":3,"is_corresponding":false},{"id":233666,"name":"Philip A. Cook","orcid":"0000-0002-1985-8475","position":4,"is_corresponding":false},{"id":235292,"name":"Damien A. Fair","orcid":"0000-0001-8602-393X","position":5,"is_corresponding":false},{"id":584297,"name":"Barry Giesbrecht","orcid":"0000-0002-1976-1251","position":6,"is_corresponding":false},{"id":238642,"name":"Bart Larsen","orcid":null,"position":7,"is_corresponding":false},{"id":285911,"name":"Kristin Murtha","orcid":"0009-0006-5820-6740","position":8,"is_corresponding":false},{"id":235291,"name":"David R. Roalf","orcid":"0000-0002-1728-9782","position":9,"is_corresponding":false},{"id":917882,"name":"Sage Rush‐Goebel","orcid":null,"position":10,"is_corresponding":false},{"id":52271,"name":"Russell T. Shinohara","orcid":"0000-0001-8627-8203","position":11,"is_corresponding":false},{"id":230046,"name":"Haochang Shou","orcid":"0000-0002-3043-047X","position":12,"is_corresponding":false},{"id":356077,"name":"M. Dylan Tisdall","orcid":"0000-0002-0454-3112","position":13,"is_corresponding":false},{"id":427869,"name":"Jean M. Vettel","orcid":"0000-0001-5336-2986","position":14,"is_corresponding":false},{"id":463341,"name":"Scott T. Grafton","orcid":"0000-0003-4015-3151","position":15,"is_corresponding":false},{"id":285909,"name":"Matthew Cieslak","orcid":"0000-0002-1931-4734","position":16,"is_corresponding":false},{"id":230040,"name":"Theodore D. Satterthwaite","orcid":"0000-0001-7072-9399","position":17,"is_corresponding":false},{"id":350846,"name":"Hamsanandini Radhakrishnan","orcid":"0000-0002-4448-986X","position":0,"is_corresponding":true}],"reference_count":86,"raw_metadata":null,"created_at":"2026-07-19T02:02:08.018689Z","pmid":"38520359","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":[]}