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The Resource Medical Imaging Technology : Reviews and Computational Applications

Medical Imaging Technology : Reviews and Computational Applications

Label
Medical Imaging Technology : Reviews and Computational Applications
Title
Medical Imaging Technology
Title remainder
Reviews and Computational Applications
Creator
Contributor
Subject
Language
eng
Summary
This book presents the latest research findings and reviews in the field of medical imaging technology, covering ultrasound diagnostics approaches for detecting osteoarthritis, breast carcinoma and cardiovascular conditions, image guided biopsy and segmentation techniques for detecting lung cancer, image fusion, and simulating fluid flows for cardiovascular applications. It offers a useful guide for students, lecturers and professional researchers in the fields of biomedical engineering and image processing
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Lecture Notes in Bioengineering Ser
Medical Imaging Technology : Reviews and Computational Applications
Label
Medical Imaging Technology : Reviews and Computational Applications
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=2095865
Publication
Copyright
Related Contributor
Related Location
Related Agents
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Related Items
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Contents -- 1 Improved Ultrasound Imaging for Knee Osteoarthritis Detection -- Abstract -- 1.1 Introduction -- 1.1.1 Procedure of US Scanning Protocol -- 1.2 Technical Review of HE and AD Method -- 1.2.1 Review of Existing Contrast Enhancement System -- 1.2.2 Review on Existing Speckle Reduction Methods -- 1.3 Methodology -- 1.4 Proposed Contrast Enhancement Method -- 1.4.1 Multipurpose Beta Optimizes Recursive Bi-histogram Equalization -- 1.4.2 Preservation of Brightness Score (PBS) Function -- 1.4.3 The Optimum Contrast Score (OCS) Function -- 1.4.4 Preservation of Detail Score (PDS) Function -- 1.4.5 Construction of Final Score Function -- 1.4.6 The Proposed AD Method -- 1.4.7 Diffusivity Function for the Proposed AD Method -- 1.4.8 Estimation of Gradient Threshold for the Proposed AD Method -- 1.4.9 Stopping Criterion for the Proposed AD Method -- 1.4.10 Summary of the Proposed AD Method -- 1.4.11 Measurement Tools to Assess US Image Quality -- 1.5 Result and Discussion -- 1.5.1 For Proposed Contrast Enhancement Method -- 1.5.1.1 Qualitative Analysis -- 1.5.1.2 Quantitative Analysis -- 1.5.1.3 Histogram Equalization -- 1.5.1.4 Mean Shift -- 1.5.1.5 Graph by Entropy -- 1.5.2 For Proposed AD Method -- 1.5.2.1 Qualitative Analysis -- 1.5.2.2 Test on Cartilage Image -- 1.5.2.3 Quantitative Analysis -- 1.6 Conclusion and Future Work -- Acknowledgments -- Appendix -- References -- 2 Review on Image Guided Lung Biopsy -- Abstract -- 2.1 Introduction -- 2.2 Image Guided Biopsy -- 2.2.1 Image Guided Biopsy System -- 2.2.2 Image Guided Biopsy Testing -- 2.3 Bronchoscopy Based Method -- 2.3.1 Procedure -- 2.3.2 Technologies and Methods -- 2.3.3 Clinical Value -- 2.4 Needle Based Method -- 2.4.1 Procedure -- 2.4.2 Technologies and Methods -- 2.4.3 Clinical Value -- 2.5 Conclusion -- References
  • 3 Position Tracking Systems for Ultrasound Imaging: A Survey -- Abstract -- 3.1 Introduction -- 3.2 Position Tracking Technology -- 3.2.1 Optical Tracking System -- 3.2.2 Electromagnetic Tracking System -- 3.2.3 Inertial Tracking System -- 3.2.4 Mechanical Tracking System -- 3.2.5 Hybrid Tracking System -- 3.2.6 Other System (Commercial Off-the-Shelf (COTS) Consoles) -- 3.3 Ultrasound Imaging and Position Tracking Integration -- 3.4 Conclusions -- References -- 4 Multimodal Medical Image Fusion in Cardiovascular Applications -- Abstract -- 4.1 Introduction -- 4.2 Multimodal Image Fusion -- 4.2.1 Image Fusion -- 4.2.2 Fusion Levels -- 4.2.3 Imaging Modalities -- 4.2.4 Modality Combinations -- 4.2.5 Image Registration -- 4.2.6 Medical Image Fusion Techniques -- 4.3 Quality Assessment -- 4.3.1 Universal Image Quality Index (UIQI) -- 4.3.2 Mutual Information -- 4.3.3 Entropy -- 4.3.4 Structural Similarity Image Measure -- 4.4 Conclusions -- References -- 5 Performance Evaluation of Lung Segmentation -- Abstract -- 5.1 Introduction -- 5.2 Performance Evaluation Methods -- 5.2.1 Quantitative Methods -- 5.2.1.1 Area Based Evaluation Method -- Dice Similarity Coefficient (DSC) -- Jaccard Index -- Relative Volume Difference (RVD) -- Volume Overlap Error (VOE) -- 5.2.1.2 Surface Based Evaluation Method -- Average Symmetric Surface Distance (ASSD) -- Root Mean Square Symmetric Surface Distance (RMSD) -- Euclidean Distance Metric -- Polyline Distance Metric (PDM) -- Hausdorff Distance -- 5.2.2 Qualitative Methods -- 5.2.2.1 Bland-Altman Plot -- 5.2.2.2 Scatter Plot -- 5.3 Performance Evaluation of Automated Lung Segmentation Systems (ALSS) -- 5.3.1 Data Acquisition -- 5.3.2 Manual Tracing -- 5.3.3 Automatic Lung Segmentation System (ALSS) -- 5.3.4 Performance Evaluation Measures -- 5.4 Results -- 5.5 Discussion -- 5.6 Conclusion -- References
  • 6 A Review on Fluid Simulation Method for Blood Flow Representation -- Abstract -- 6.1 Introduction -- 6.2 Application of Blood Flow Simulation for Surgical Planning -- 6.3 Overview of Blood Flow Physiology and Environment -- 6.4 Computational Fluid Dynamics (CFD) -- 6.4.1 Mesh-Based Method -- 6.4.2 Mesh-less Method -- 6.5 Real-Time Blood Flow Simulation -- 6.6 Discussion -- 6.7 Conclusion -- Acknowledgments -- References -- 7 State of the Art in the 3D Cardiovascular Visualization -- Abstract -- 7.1 Introduction -- 7.2 Overview of Flow Visualization -- 7.3 Visualization Pipeline -- 7.3.1 Data Acquisition -- 7.3.2 Data Enrichment/Enhancement -- 7.3.2.1 Filtering -- 7.3.2.2 Data Selection -- 7.3.2.3 Interpolation -- 7.3.3 Visualization Mapping -- 7.3.4 Rendering and Display -- 7.3.5 Visualization Pipeline Summary -- 7.4 Flow Visualisation Classification -- 7.4.1 Research in Flow Visualization -- 7.4.2 Integration-Based and Geometric Flow Visualization Technique -- 7.4.3 Dense and Texture Based Technique -- 7.5 Analysis and Discussion -- 7.6 Applications and Available Systems -- 7.7 Conclusion -- References -- 8 Virtual Surgery, Applications and Limitations -- Abstract -- 8.1 Introduction -- 8.2 Medical Images -- 8.3 Virtual Reality in Medicine -- 8.3.1 2D Images -- 8.3.2 3D Images -- 8.3.3 3D Virtual Body Structures -- 8.4 Different Generation of Surgery -- 8.4.1 Early Times -- 8.4.2 Refining the Appearance -- 8.4.3 Adding Physiological Details -- 8.5 Surgical Simulator Requirements -- 8.5.1 Data Acquisition -- 8.5.2 Imaging Modalities -- 8.5.3 Segmentation -- 8.5.4 Fusion of Multi-Modality Data -- 8.5.5 Registration -- 8.5.6 Modeling -- 8.5.7 Interaction -- 8.6 Area of VR Simulation -- 8.6.1 Training -- 8.6.2 Diagnosis and Pre-operative Planning -- 8.6.3 Intra Operating -- 8.6.4 Assistance Surgery Tools -- 8.6.5 Touch Simulation
  • 8.7 Virtual Reality and Augmented Reality Simulators -- 8.7.1 Virtual Reality -- 8.7.2 Augmented Reality -- 8.8 Conclusion -- Acknowledgments -- References -- 9 Oriented Speckle Reducing Anisotropic Diffusion (OSRAD) for Dilated Cardiomyopathy (DCM) -- Abstract -- 9.1 Introduction -- 9.2 Review on Existing Speckle Reduction Methods -- 9.3 Methodology -- 9.4 Conclusion and Future Work -- References -- 10 Measurement of Ultrasound Attenuation and Protein Denaturation Behavior During Hyperthermia Monitoring -- Abstract -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Human Breast Anatomy and Breast Cancer -- 10.2.2 Hyperthermia Therapy and Its Thermometry Monitoring Using Ultrasound -- 10.3 Methodology -- 10.3.1 Experimental Set up -- 10.3.2 Animal Handling -- 10.3.3 Tissue Preparation Study -- 10.3.4 Total Protein Measurement -- 10.3.5 Histology of Breast Tissue -- 10.3.6 Ultrasound Attenuation Analysis -- 10.3.7 Statistical Analysis -- 10.4 Result and Discussion -- 10.4.1 Histology Result -- 10.4.2 Ultrasound Attenuation Result and Discussion -- 10.4.3 Total Protein Measurement in Tissue After Hyperthermia -- 10.5 Conclusion -- References -- 11 Development of Flexible Bronchoscope Device Using Soft Actuator -- Abstract -- 11.1 Introduction -- 11.1.1 Flexible Bronchoscope -- 11.1.2 Airway Anatomy for Bronchoscopist -- 11.1.3 Advantages and Disadvantages of Flexible Bronchoscope -- 11.1.4 Development of Soft Actuator -- 11.2 Various Fiber Structure Concept to Produce Twisting and Bending Soft Actuator -- 11.2.1 Bending Soft Actuator with Two Chambers and Single 90 ̊Fiber Angle Structure -- 11.2.2 Bending Soft Actuator with Two Chambers and Single Cross Sectional Fiber Angle Structure -- 11.2.3 Twisting Soft Actuator with One Chamber and Parallel Fiber Angle Structure -- 11.3 Manufacturing Process of Twisting and Bending Soft Actuator
  • 11.3.1 Design and Specification -- 11.3.2 Fabrication of Twisting and Bending Soft Actuator -- 11.3.3 Implementation -- 11.4 Experimental Results of Twisting and Bending Soft Actuator -- 11.5 Discussion -- 11.6 Conclusions -- Acknowledgments -- References
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{'f': 'http://opac.lib.rpi.edu/record=b4390785'}
Extent
1 online resource (244 pages)
Form of item
online
Isbn
9789812875402
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

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