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Biomedical Signal and Image Examination with Entropy-Based Techniques [Hardback]

, , (St. Josephs College of Engineering, Chennai),
  • Formāts: Hardback, 122 pages, height x width: 234x156 mm, weight: 335 g, 10 Tables, black and white; 46 Line drawings, black and white; 33 Halftones, black and white
  • Sērija : Biomedical and Robotics Healthcare
  • Izdošanas datums: 22-Dec-2020
  • Izdevniecība: CRC Press
  • ISBN-10: 0367473941
  • ISBN-13: 9780367473945
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  • Cena: 171,76 €
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Biomedical Signal and Image Examination with Entropy-Based TechniquesPalielināt
  • Formāts: Hardback, 122 pages, height x width: 234x156 mm, weight: 335 g, 10 Tables, black and white; 46 Line drawings, black and white; 33 Halftones, black and white
  • Sērija : Biomedical and Robotics Healthcare
  • Izdošanas datums: 22-Dec-2020
  • Izdevniecība: CRC Press
  • ISBN-10: 0367473941
  • ISBN-13: 9780367473945
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780367473945.html
Keywords:
"The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essentialfor the development of suitable computerized examination systems"--

The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal analysis provides vital information regarding the physiological condition of the patient, and the efficient evaluation of these signals can help to diagnose the nature and the severity of the disease. This book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems for the analysis of biomedical images recorded with a variety of modalities. The work discusses the image pro-processing methods with the Entropies, such as Kapur, Tsallis, Shannon and Fuzzy on a class of RGB-scaled and gray-scaled medical pictures. The performance of the proposed technique is justified with the help of suitable case studies, which involves x-ray image analysis, MRI analysis and CT analysis. This book is intended for medical signal/image analysts, undergraduate and postgraduate students, researchers, and medical scientists interested in biomedical data evaluation.

Preface ix
Author Biographies xi
Chapter 1 Introduction to Entropy and Chaos
1(20)
1.1 Probability Calculations
2(2)
1.2 Entropy
4(6)
1.2.1 The Thermodynamic Entropy
4(3)
1.2.2 Entropy in Information Theory
7(1)
1.2.3 Tsallis Entropy
8(1)
1.2.4 Renyi Entropy
8(1)
1.2.5 Dynamical Entropy
9(1)
1.2.6 Spectral Entropy
9(1)
1.3 Chaos and Entropy
10(6)
1.3.1 Lyapunov Exponents
10(3)
1.3.2 Hurst Exponents
13(1)
1.3.3 Fractal Dimension
14(1)
1.3.4 Spectral Exponents
15(1)
1.4 Entropy of Biological Systems
16(1)
1.5 Mutual Information
17(4)
References
17(4)
Chapter 2 Biosignals
21(22)
2.1 Classification and Characteristics of Biosignals
21(1)
2.2 Measurement of Biosignals
22(2)
2.3 Entropy of Electrophysiological Signals
24(7)
2.3.1 The Entropy of Electromyograms
24(3)
2.3.2 Entropy of Gait Signals
27(4)
2.4 Hjorth Information
31(1)
2.4.1 Hjorth Activity
31(1)
2.4.2 Hjorth Mobility
32(1)
2.4.3 Hjorth Complexity
32(1)
2.5 Biosignals and Chaos
32(11)
References
39(4)
Chapter 3 Need for Medical Imaging and Its Modalities
43(26)
3.1 Disease in Human Organs
44(2)
3.2 Need for Medical Imaging Techniques
46(15)
3.2.1 Examination of Bone
47(1)
3.2.2 Examination of Eye
48(2)
3.2.3 Examination of Skin
50(2)
3.2.4 Examination of Lungs
52(1)
3.2.4.1 Pneumonia Diagnosis
52(1)
3.2.4.2 Tuberculosis Diagnosis
52(1)
3.2.4.3 COVID-19 Infection
53(2)
3.2.5 Examination of Brain
55(1)
3.2.5.1 CT Scan
56(1)
3.2.5.2 MRI
56(2)
3.2.6 Examination of Breast
58(1)
3.2.6.1 Mammogram
59(1)
3.2.6.2 Breast MRI
59(1)
3.2.6.3 Thermal Imaging
59(1)
3.2.6.4 Ultrasound Imaging
60(1)
3.3 Choice of Imaging Modality
61(1)
3.4 Traditional Examination
62(1)
3.5 Computer Assisted Analysis
63(1)
3.6 Pre-Processing and Post-Processing Techniques
63(1)
3.7 Summary
64(5)
References
65(4)
Chapter 4 Entropy Techniques in Image Analysis
69(28)
4.1 Evaluation of Medical Images
70(1)
4.2 GREY and RGB Scale Images
71(2)
4.3 Image Pre-Processing
73(9)
4.3.1 Entropy and Non-Entropy Based Pre-Processing
74(1)
4.3.1.1 Otsu's Technique
74(3)
4.3.1.2 Kapur's Entropy
77(2)
4.3.1.3 Tsallis Entropy
79(2)
4.3.1.4 Shannon's Entropy
81(1)
4.4 Entropy Based Features in Image Processing
82(9)
4.5 Summary
91(6)
References
92(5)
Chapter 5 Case Studies With Medical Imaging
97(24)
5.1 Medical Image Modalities
98(1)
5.2 Fundus Image Examination
98(4)
5.2.1 Pre-processing
98(1)
5.2.2 Post-processing
99(1)
5.2.3 Assessment and Validation
99(3)
5.3 Brain MRI Assessment
102(10)
5.3.1 Pre-processing
105(1)
5.3.2 Post-processing
106(1)
5.3.2.1 Active-Contour (AC)
106(1)
5.3.2.2 Marker-Controlled-Watershed (MCWS)
106(1)
5.3.2.3 Seed-Region-Growing (SRG)
106(1)
5.3.3 Feature Extraction, Selection and Validation
106(6)
5.4 Thermal Image Examination
112(4)
5.5 Summary
116(5)
References
116(5)
Index 121
Dr. Venkatesan Rajinikanth is a Professor in Department of Electronics and Instrumentation Engineering at St. Josephs College of Engineering, Tamilnadu, India.

Dr. K. Kamalanand is an Assistant Professor at the Department of Instrumentation Engineering, Madras Institute of Technology Campus, Anna University, Chennai, India.

Dr. C. Emmanuel is Professor and Director of the Department of Academics & Research, Gleneagles Global Health City, Chennai.

Dr. B. Thayumanavan is Professor and Dean of Sathyabama University Dental College and Hospital, Chennai, India.