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Magnetic Resonance Imaging
Recording, Reconstruction and Assessment

Covers a wide range of interdisciplinary areas, focusing on ubiquitous sensing and U-healthcare systems in real-world healthcare applications

V. Rajinikanth (Author), Nilanjan Dey (Author)

9780128234013, Elsevier Science

Paperback, published 17 February 2022

188 pages, Approx. 200 illustrations (200 in full color)
23.5 x 19 x 1.3 cm, 0.41 kg

Magnetic Resonance Imaging: Recording, Reconstruction and Assessment gives a detailed overview of magnetic resonance imaging (MRI), along with its applications and challenges. The book explores the abnormalities in internal human organs using MRI techniques while also featuring case studies that illustrate measures used. In addition, it explores precautionary measures used during MRI based imaging, the selection of appropriate contrast agents, and the selection of the appropriate modality during the image registration. Sections introduce medical imaging, the use of MRI in brain, cardiac, lung and kidney detection, and also discuss both 2D and 3D imaging techniques and various MRI modalities.

This volume will be of interest to researchers, engineers and medical professionals involved in the development and use of MRI systems.

1. Introduction to Image Assisted Disease Screening 2. Magnetic Resonance Imaging – Recording and Reconstruction 3. Image Processing Schemes to Enhance Disease Information in MRI Slices 4. Segmentation of Tumor in Breast MRI Using Entropy Thresholding and Mayfly-Algorithm: A Study 5. Abnormality Detection in Heart MRI with Spotted-Hyena-Algorithm Supported Kapur/Otsu Thresholding and Level-Set Segmentation 6. CNN based Segmentation of Brain Tumor from T2-Weighted MRI Slices 7. Automated Detection of Ischemic-Stroke with Brain MRI using Machine-Learning and Deep-Learning Features

Subject Areas: Engineering: general [TBC]

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