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Further, compressed sensing can increase the\ndiagnostic information and value from each scan performed. Overall, compressed\nsensing has significant clinical impact in improving the diagnostic quality and\npatient experience for imaging exams. However, a number of challenges exist\nwhen moving compressed sensing from research to the clinic. These challenges\ninclude hand-crafted image priors, sensitive tuning parameters, and long\nreconstruction times. Data-driven learning provides a solution to address these\nchallenges. As a result, compressed sensing can have greater clinical impact.\nIn this tutorial, we will review the compressed sensing formulation and outline\nsteps needed to transform this formulation to a deep learning framework.\nSupplementary open source code in python will be used to demonstrate this\napproach with open databases. Further, we will discuss considerations in\napplying data-driven compressed sensing in the clinical setting.","url_abs":"http://arxiv.org/abs/1903.07824v1","url_pdf":"http://arxiv.org/pdf/1903.07824v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"compressed-sensing-from-research-to-clinical","repo_url":"https://github.com/MRSRL/dl-cs","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"diagnostic","task_name":"Diagnostic"},{"task_slug":"compressed-sensing","task_name":"compressed sensing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1903.07824","atlas_url":"https://app.syntology.ai/?focus=1903.07824","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1903.07824"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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