Regularized image reconstruction in parallel MRI with MATLAB / Joseph Suresh Paul and Raji Susan Mathew.
| Author/creator | Paul, Joseph Suresh |
| Other author | Mathew, Raji Susan. |
| Format | Electronic |
| Publication Info | Boca Raton : CRC Press, Taylor & Francis Group, [2020] |
| Description | xv, 305 pages : illustrations ; 26 cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Contents | Parallel MR image reconstruction -- Regularization techniques for MR image reconstruction -- Regularization parameter selection methods in parallel MR image reconstruction -- Multi-filter calibration for autocalibrating parallel MRI -- Parameter adaptation for wavelet regularization in parallel MRI -- Parameter adaptation for total variation based regularization in parallel MRI -- Combination of parallel magnetic resonance imaging and compressed sensing using L1-SPIRiT -- Matrix completion methods -- MATLAB codes. |
| Abstract | "This book provides a detailed discussion on the issues and challenges relating to choice and usage of regularization methods applied to pMRI reconstruction algorithms. The book summarizes aspects required for judiciously choosing regularization parameters for artifact and noise free reconstruction with relevance to specific reconstruction variant"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2019030545 |
| ISBN | 9780815361473 (hardback) |
| ISBN | (ebook) |