{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/highly-scalable-image-reconstruction-using","title":"Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering","arxiv_id":"1805.03300","date":"2018-05-08","proceeding":null,"authors":["Joseph Y. Cheng","Feiyu Chen","Marcus T. Alley","John M. Pauly","Shreyas S. Vasanawala"],"abstract":"To increase the flexibility and scalability of deep neural networks for image\nreconstruction, a framework is proposed based on bandpass filtering. For many\napplications, sensing measurements are performed indirectly. For example, in\nmagnetic resonance imaging, data are sampled in the frequency domain. The\nintroduction of bandpass filtering enables leveraging known imaging physics\nwhile ensuring that the final reconstruction is consistent with actual\nmeasurements to maintain reconstruction accuracy. We demonstrate this flexible\narchitecture for reconstructing subsampled datasets of MRI scans. The resulting\nhigh subsampling rates increase the speed of MRI acquisitions and enable the\nvisualization rapid hemodynamics.","url_abs":"http://arxiv.org/abs/1805.03300v2","url_pdf":"http://arxiv.org/pdf/1805.03300v2.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":"highly-scalable-image-reconstruction-using","repo_url":"https://github.com/MRSRL/dl-cs","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"image-reconstruction","task_name":"Image Reconstruction"}],"methods":[{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}