This book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.
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1 | (8) |
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1.1 Introduction to Medical Imaging |
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1 | (1) |
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1.2 Medical Imaging Overview |
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1 | (1) |
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1.3 Molecular Imaging and Its Modalities |
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2 | (3) |
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1.4 Medical Image Reconstruction |
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5 | (1) |
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1.5 Types of Image Reconstruction |
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6 | (3) |
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2 Artifacts Correction in MRI Images |
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9 | (20) |
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9 | (1) |
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2.1.1 Disadvantages of Ultra-echo Time Imaging (UTE) |
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9 | (1) |
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2.1.2 Disadvantages of Sweep Imaging with Fourier Transform |
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9 | (1) |
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2.1.3 Disadvantages of Water- and Fat-suppressed Proton Projection MRI |
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10 | (1) |
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2.1.4 Disadvantages of ZTE Imaging Without Excitation Profile |
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10 | (1) |
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10 | (1) |
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10 | (1) |
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2.4 Model as an Inverse Problem |
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11 | (1) |
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12 | (3) |
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14 | (1) |
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2.5.2 Non-uniform FFT Algorithm |
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14 | (1) |
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2.6 Quadratic Phase-Modulated RF Pulse Excitation |
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15 | (1) |
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2.6.1 Hard RF Phase Modulation |
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16 | (1) |
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2.7 Excitation Profile Measurement |
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16 | (1) |
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2.8 Pointwise Encoding Time Reduction with Radial Acquisition (PETRA) |
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17 | (1) |
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2.9 Iterative Partial K-Space Reconstruction |
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18 | (1) |
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2.10 Processing of Project |
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19 | (1) |
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20 | (9) |
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3 Spiral Cone-Beam CT Reconstruction |
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29 | (16) |
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3.1 CT Reconstruction Using the Medical Phantom Image |
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29 | (4) |
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3.1.1 Assessment of Image Quality of the CT Medical Phantom Image Before Reconstruction |
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29 | (3) |
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3.1.2 Assesment of the Image Quality of Cone-Beam Phantom After Image Reconstruction |
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32 | (1) |
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3.2 CT Reconstruction of the Hand Section of the Human Body |
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33 | (4) |
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3.2.1 Assesment of the Image Quality of CT Hand Section Before Reconstruction |
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34 | (2) |
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3.2.2 Assesment of the Image Quality of Cone-Beam CT Hand Section After Reconstruction |
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36 | (1) |
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3.3 CT Reconstruction of the Head Section of the Human Body |
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37 | (5) |
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3.3.1 Assesment of the Image Quality of the CT Head Section Before Reconstruction |
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38 | (3) |
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3.3.2 Assesment of the Image Quality of the Cone-Beam CT Head Section After Reconstruction |
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41 | (1) |
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3.4 Quantization of the Artifacts |
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42 | (3) |
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3.4.1 Assessment of Image Resolution and Noise Quantization of the Artifacts |
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42 | (3) |
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4 Visual Quality Improvement of CT Image Reconstruction with Quantitative Measures |
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45 | (30) |
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45 | (1) |
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45 | (1) |
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4.1.2 Criterion for Filtering Edge Information |
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45 | (1) |
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46 | (6) |
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4.2.1 Model Specification |
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46 | (2) |
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4.2.2 Boundary-Edge Correspondence |
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48 | (1) |
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4.2.3 Local Intensity Clustering Property |
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49 | (1) |
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50 | (1) |
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4.2.5 Multiphase Level Set Formulation |
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51 | (1) |
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52 | (1) |
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53 | (1) |
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4.5 Filtered Back Projection (FBP) Reconstruction |
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54 | (9) |
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4.6 Discrete Direct Back Projection |
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63 | (1) |
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64 | (1) |
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4.8 Iterative Reconstruction Algorithm |
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65 | (1) |
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66 | (1) |
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67 | (1) |
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4.11 Experimental Findings |
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68 | (4) |
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4.11.1 Assesment of the Image Statistics of Before Image Reconstruction of CT Knee Bone |
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68 | (3) |
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4.11.2 Assesment of the Image Statistics of After Image Reconstruction of CT Knee Bone |
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71 | (1) |
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4.12 Computational Efficiency Comparison |
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72 | (3) |
| Bibliography |
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75 | |
Vinit Kumar Gunjan is an Associate Professor at Annamacharya Institute of Technology and Sciences (AITS), India. He is the Principal Investigator for a project funded by the Science and Engineering Research Board, Department of Science & Technology, Government of India. He also serves as the Chairman of the IEEE Young Professionals and has served as the Secretary of the IEEE Computer Society, Hyderabad Chapter. He worked with Tata Consultancy Services and the School of Engineering and Technology (SET), Sharda University, Noida before joining the AITS. Vinit is a member of several IEEE Societies, the ACM, ACCS and others, and has several national and international publications to his credit.
Fahimuddin Shaik holds a PhD in Electronics and Communication Engineering and currently serves as an Associate Professor at Annamacharya Institute of Technology & Sciences (AITS) (an Autonomous Institute), India. His research interests include Signal Processing, Time Series Analysisand Biomedical Image Processing. He is the Co-Principal Investigator for a project funded by the Science Engineering Research Board, Department of Science & Technology, Government of India. He has authored the books Medical Imaging in Diabetes and Image Processing in Diabetic Related Causes and is a member of professional bodies like the IEEE, BMESI, ISTE, IACSIT, IAENG etc.
C. Venkatesh is with Annamacharya Institute of Technology & Sciences (AITS), India, where he currently serves as an Assistant Professor. He received his B.Tech in Electronics & Communication Engineering and M.Tech (Embedded Systems) from Jawaharlal Nehru Technological University. He is a member of professional bodies like the IEEE, IE, ISTE, IACSIT, IAENG etc. His research interests include Biomedical Image Processing, Embedded Systems and Signal Processing.
Amarnath M. is a Technology Consultant with Hewlett Packard Globalsoft Pvt. Ltd. Australia. He is currently on deputation with Singtel Optus Pty Ltd. He is an ITIL Foundation in IT Service Management certified practitioner focused on comprehensive IT service management and continuous service improvement. He holds a Bachelor of Technology from Sri Venkateswara University, Tirupati, India and has extensive expertise as a Software Engineer, Solution Designer, Technical Architect and Application Support Engineer.
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