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Intro; Preface; Contents; Contributors; 1 Infrared Thermography; 1.1 Introduction; 1.2 Physical Principles of Infrared Thermography; 1.2.1 Thermal Radiation; 1.2.2 Blackbody Radiation; 1.2.3 Greybody Radiation; 1.2.4 Temperature Measurement; 1.2.5 Thermal Cameras; 1.3 Medical Applications; 1.3.1 Diagnosis; 1.3.1.1 Detection of Breast Abnormalities; 1.3.1.2 Rheumatic Diseases; 1.3.1.3 Dry Eye Syndrome and Ocular Disease; 1.3.1.4 Wound Assessment; 1.3.2 Monitoring; 1.3.2.1 Respiratory Rate; 1.3.2.2 Cardiac Pulse; 1.3.2.3 Perfusion; 1.4 Recent Advances in 3D Infrared Thermography; 1.5 Summary
2.3.1 Initial Assessment of Movement Events2.3.2 Motion Tracking and Compensation Algorithms; 2.3.2.1 Block Matching Method; 2.3.2.2 Optical Flow Method; 2.3.2.3 Kanade-Lucas-Tomasi Feature Tracker; 2.3.2.4 Additional Tracking Algorithms; 2.4 Selected PPGI Results and Applications; 2.4.1 Proof of Concept Studies; 2.4.1.1 Skin Perfusion Changes After Mechanical Irritation; 2.4.1.2 Highly Distributed Skin Perfusion in Melanoma; 2.4.1.3 Comparison of Bilateral Heartbeat-Related Skin Perfusion Amplitude; 2.4.1.4 Multiwavelength Illumination PPGI Study: Towards Remote SpO2
2.4.2 First Clinical Trial: Allergic Skin Reactions Quantified by PPGI2.4.2.1 Data Acquisition and Signal Analysis; 2.4.2.2 Results; 2.4.2.3 Vascular Response Assessed by the PPGI Method; 2.4.2.4 Automatic Determination of Area Affected by Allergic Reaction; 2.5 Optical Hybrid Imaging: Combining Different Strategies; 2.6 Conclusions; References; 3 Multimodal Image Fusion for Cardiac Resynchronization Therapy Planning; 3.1 Introduction; 3.2 Multimodal Image Processing; 3.2.1 Segmentation of LV and Veins in CT Images
3.2.2 Characterization of the Mechanical Activation Using Speckle Tracking Echography3.2.3 Characterization of Fibrosis in LGE-MRI; 3.3 Multimodal Image Registration; 3.3.1 STE to CT Registration; 3.3.2 LGE-MRI to CT Registration; 3.4 Patient-Specific 3D Model Generation; 3.5 Results; 3.6 Conclusion; References; 4 CFD-Based Postprocessing of CT-MRI Data to Determine the Mechanics of Rupture in Abdominal Aortic Aneurysms; 4.1 Abdominal Aortic Aneurysms (AAA): Causes and Its Rupture; 4.1.1 Types of Aneurysms; 4.1.2 Causes of AAA; 4.1.3 Rupture in AAA; 4.1.4 AAA Incidence in the Asian Population
2.3.1 Initial Assessment of Movement Events2.3.2 Motion Tracking and Compensation Algorithms; 2.3.2.1 Block Matching Method; 2.3.2.2 Optical Flow Method; 2.3.2.3 Kanade-Lucas-Tomasi Feature Tracker; 2.3.2.4 Additional Tracking Algorithms; 2.4 Selected PPGI Results and Applications; 2.4.1 Proof of Concept Studies; 2.4.1.1 Skin Perfusion Changes After Mechanical Irritation; 2.4.1.2 Highly Distributed Skin Perfusion in Melanoma; 2.4.1.3 Comparison of Bilateral Heartbeat-Related Skin Perfusion Amplitude; 2.4.1.4 Multiwavelength Illumination PPGI Study: Towards Remote SpO2
2.4.2 First Clinical Trial: Allergic Skin Reactions Quantified by PPGI2.4.2.1 Data Acquisition and Signal Analysis; 2.4.2.2 Results; 2.4.2.3 Vascular Response Assessed by the PPGI Method; 2.4.2.4 Automatic Determination of Area Affected by Allergic Reaction; 2.5 Optical Hybrid Imaging: Combining Different Strategies; 2.6 Conclusions; References; 3 Multimodal Image Fusion for Cardiac Resynchronization Therapy Planning; 3.1 Introduction; 3.2 Multimodal Image Processing; 3.2.1 Segmentation of LV and Veins in CT Images
3.2.2 Characterization of the Mechanical Activation Using Speckle Tracking Echography3.2.3 Characterization of Fibrosis in LGE-MRI; 3.3 Multimodal Image Registration; 3.3.1 STE to CT Registration; 3.3.2 LGE-MRI to CT Registration; 3.4 Patient-Specific 3D Model Generation; 3.5 Results; 3.6 Conclusion; References; 4 CFD-Based Postprocessing of CT-MRI Data to Determine the Mechanics of Rupture in Abdominal Aortic Aneurysms; 4.1 Abdominal Aortic Aneurysms (AAA): Causes and Its Rupture; 4.1.1 Types of Aneurysms; 4.1.2 Causes of AAA; 4.1.3 Rupture in AAA; 4.1.4 AAA Incidence in the Asian Population