Magnetic Resonance Imaging
Recording, Reconstruction and Assessment
- 1st Edition - February 15, 2022
- Authors: V. Rajinikanth, Nilanjan Dey
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 4 0 1 - 3
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 3 4 0 2 - 0
Magnetic Resonance Imaging: Recording, Reconstruction and Assessment gives a detailed overview of magnetic resonance imaging (MRI), along with its applications and challenge… Read more
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Request a sales quoteMagnetic 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.
- Discusses challenges and issues faced, as well as safety precautions to be followed
- Features case studies with benchmark MRIs existing in the literature
- Introduces computer-based assessment (Machine Learning and Deep Learning) of the MRI based on its 2D slices
Professional researchers in medical image processing, biomedical engineering, and physicians. Researchers working in the healthcare systems. Researchers from academia and industry, who are working in the research areas of: Biomedical engineering computer- aided detection and diagnosis, medical devices requirements, tele-medicine, and systems monitoring, Wearable Sensors Devices, Monitoring Systems Design, Healthcare Real Applications. Electrical and Electronics Engineering: sensors design, body area networking, monitoring systems design, commercial wearable devices, and design of medical imaging modalities. Communications Engineering: wireless communication systems, monitoring systems, and secure communication facilities. Computer Engineering: algorithms and simulation issues related to medical imaging system and CAD systems
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- 1. Introduction to image-assisted disease screening
- 1.1. Introduction
- 1.2. Acute diseases in vital organs
- 1.3. Discussion of the need for an imaging scheme
- 1.4. Summary
- 2. Magnetic resonance imaging: recording and reconstruction
- 2.1. Introduction
- 2.2. MRI recording protocol
- 2.3. Verification and validation
- 2.4. Comparison of MRI modalities
- 2.5. Summary
- 3. Image processing methods to enhance disease information in MRI slices
- 3.1. Introduction
- 3.2. Improvement methods for MRI slices
- 3.3. Summary
- 4. A study of the segmentation of tumor in breast MRI using entropy thresholding and the Mayfly algorithm
- 4.1. Introduction
- 4.2. Related research
- 4.3. Methodology
- 4.4. Result and discussion
- 4.5. Conclusion
- 5. Abnormality detection in heart MRI with spotted hyena algorithm-supported Kapur/Otsu thresholding and level set segmentation
- 5.1. Introduction
- 5.2. Related research work
- 5.3. Methodology
- 5.4. Results and discussion
- 5.5. Conclusion
- 6. CNN-based segmentation of brain tumor from T2-weighted MRI slices
- 6.1. Introduction
- 6.2. Related research
- 6.3. Methodology
- 6.4. Results and discussion
- 6.5. Conclusion
- 7. Automated detection of ischemic stroke with brain MRI using machine learning and deep learning features
- 7.1. Introduction
- 7.2. Earlier research
- 7.3. Methodology
- 7.4. Experimental results
- 7.5. Discussion
- 7.6. Conclusion
- Index
- No. of pages: 188
- Language: English
- Edition: 1
- Published: February 15, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780128234013
- eBook ISBN: 9780128234020
VR
V. Rajinikanth
Professor V. Rajinikanth works in the Department of Electronics and Instrumentation Engineering at St. Joseph’s College of Engineering in Chennai, Tamilnadu, India.
Affiliations and expertise
Professor, Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai, Tamilnadu, IndiaND
Nilanjan Dey
Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He was an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature. He is an editorial board member of Applied Soft Computing, Elsevier. He is having 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.
Affiliations and expertise
Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, IndiaRead Magnetic Resonance Imaging on ScienceDirect