{"doi":"10.1109/icassp.2011.5946463","title":"Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space","abstract":null,"journal":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","year":2011,"id":597376,"datarank":0.32958368660043297,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"self_citation_contribution":0.32958368660043297,"citation_network_contribution":0.0,"self_endowment_contribution":0.32958368660043297,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":30834,"name":"Jonathan R. Polimeni","orcid":null,"position":1,"is_corresponding":false},{"id":1530436,"name":"Leo Grady","orcid":null,"position":2,"is_corresponding":false},{"id":241418,"name":"Lawrence L. Wald","orcid":"0000-0001-8278-6307","position":3,"is_corresponding":false},{"id":344037,"name":"Elfar Adalsteinsson","orcid":"0000-0002-7637-2914","position":4,"is_corresponding":false},{"id":1301729,"name":"Vivek K Goyal","orcid":"0000-0001-8471-7049","position":5,"is_corresponding":false},{"id":587989,"name":"Daniel S. Weller","orcid":"0000-0001-9818-7325","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space","abstract":"Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater undersampling than accomplished previously. This paper investigates the choice of a suitable sampling pattern to accommodate both CS and parallel imaging. A combined method named SpRING is described and extended to handle random undersampling, and both GRAPPA and SpRING are evaluated for uniform and random undersampling using both simulated and real data. For the simulated data, when the undersampling factor is large, SpRING performs better with random undersampling. However, random undersampling is not as beneficial to SpRING for real data with approximate sparsity.","is_dataset_classified":null,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"21097893","pmcid":null,"openalex_id":"https://openalex.org/W2109073422","authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[{"year":2012,"count":1},{"year":2015,"count":2},{"year":2017,"count":1},{"year":2018,"count":2},{"year":2021,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx5/5916934/5946226/05946463.pdf?arnumber=5946463","host_type":"publisher"},{"url":"https://doi.org/10.1109/icassp.2011.5946463","host_type":""},{"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.432.6935","host_type":""}],"fields_of_study":["Sparse and Compressive Sensing Techniques","Advanced MRI Techniques and Applications","Medical Imaging Techniques and Applications"],"mesh_terms":[],"keywords":["Undersampling","Compressed sensing","Computer science","Magnetic resonance elastography","Algorithm","Artificial intelligence","Elastography","Acoustics","Physics"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-28T13:04:05.436633Z","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":[]}