Compressed sensing magnetic resonance image reconstruction algorithms : a convex optimization approach /: a convex optimization approach. ([2019])

• Record Type: Book
• Further Information: Note: Bhabesh Deka, Sumit Datta.
• Authors: Deka, Bhabesh; Datta, Sumit
• Contents: 1. Introduction to Compressed Sensing Magnetic Resonance Imaging.- 2. Compressed Sensing MRI Reconstruction Problem.- 3. Fast Algorithms for Compressed Sensing MRI Reconstruction.- 4. Simulation Results.- 5. Performance Evaluation and Benchmark Setting.- 6. Conclusions and Future Directions.
• Publisher Details: Singapore : Springer
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 616.07548; Magnetic resonance imaging; Compressed sensing (Telecommunication); Compressed sensing (Telecommunication); Magnetic resonance imaging; Electronic books
• Languages: English
• ISBNs: 9789811335976; 9811335974
• Related ISBNs: 9789811335969; 9811335966
• Notes: Note: Includes bibliographical references.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.