Description
| Product ID: | 9780128227268 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | NL |
| Series: | Advances in Magnetic Resonance Technology and Applications |
| Title: | Magnetic Resonance Image Reconstruction |
| Subtitle: | Theory, Methods, and Applications |
| Authors: | Author: Claudia Prieto, Mehmet Akcakaya, Mariya Ivanova Doneva |
| Page Count: | 516 |
| Subjects: | Medical imaging: nuclear magnetic resonance (NMR / MRI), Nuclear magnetic resonance (NMR / MRI), Physics, Physics |
| Description: | Select Guide Rating Magnetic Resonance Image Reconstruction: Theory, Methods and Applications presents the fundamental concepts of MR image reconstruction, including its formulation as an inverse problem, as well as the most common models and optimization methods for reconstructing MR images. The book discusses approaches for specific applications such as non-Cartesian imaging, under sampled reconstruction, motion correction, dynamic imaging and quantitative MRI. This unique resource is suitable for physicists, engineers, technologists and clinicians with an interest in medical image reconstruction and MRI. |
| Imprint Name: | Academic Press Inc |
| Publisher Name: | Elsevier Science Publishing Co Inc |
| Country of Publication: | GB |
| Publishing Date: | 2022-11-11 |
