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Digital Forensics for the Health Sciences

Book Description

Digital forensics deals with the acquisition, preservation, analysis and presentation of electronic data. The detailed documentation and analysis of human data with 3D-imaging and processing techniques has led to qualitative improvements in forensic pathologic investigation and documentation. Digital Forensics for the Health Sciences: Applications in Practice and Research discusses current applications of digital forensics in health sciences as well as the latest research in this area. This reference work covers basic concepts, best practices, common techniques, investigative challenges and, most importantly, examines the major limitations of current tools and discusses approaches that may help investigators deal with the ever-increasing size and complexity of forensic targets.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
  6. Foreword
    1. July 2010
  7. Preface
    1. Objective of the Book
    2. Organization of the book
  8. Acknowledgment
  9. Section 1: Digital Forensics Best Practices in Medicine
    1. Chapter 1: Forensic Anthropology
      1. ABSTRACT
      2. Ground Penetrating Radar (GPR)
      3. Magnetometry
      4. Soil Resistivity
      5. Microscopy
      6. Scanning Electron Microscopy/Energy Dispersive Spectroscopy (SEM/EDS)
      7. Protein Radioimmunoassay (pRIA)
      8. DNA
      9. Radiocarbon Analysis
      10. Databases and Statistical Analysis
      11. Craniofacial Imaging
      12. Summary
    2. Chapter 2: Laser Scanning Confocal Imaging of Forensic Samples and Their 3D Visualization
      1. ABSTRACT
      2. Introduction to Confocal Microscopy Technique
      3. Imaging Modes
    3. Chapter 3: Data Hiding in Digitized Medical Images
      1. ABSTRACT
      2. INTRODUCTION
      3. MEDICAL IMAGING AND INFORMATION ASSURANCE
      4. MEDICAL IMAGING AND WATERMARKING
      5. WATERMARKING TECHNIQUES IN MEDICAL DOMAIN FOR CONFIDENTIALITY, INTEGRITY AND AUTHENTICATION CONTROL
      6. PRACTICAL IMPLEMENTATION OF WATERMARKING SCHEME
      7. REVERSIBLE WATERMARKING TECHNIQUES USING DIFFERENCE EXPANSION
      8. ISSUES CHALLENGES AND FUTURE OF WATERMARKING IN MEDICAL DOMAIN
    4. Chapter 4: Vertebral Morphometry in Forensics
      1. ABSTRACT
      2. FORENSIC APPLICATION OF RADIOLOGY
      3. VERTEBRAL MORPHOMETRY: Historical Perspective to Digital Morphometry
      4. FORENSIC APPLICATIONS OF VERTEBRAL MORPHOMETRY
      5. FUTURE PERSPECTIVE
    5. Chapter 5: Facial Reconstruction as a Regression Problem
      1. ABSTRACT
      2. INTRODUCTION
      3. MATERIAL AND METHODS
      4. STATISTICAL METHODS
      5. RESULTS
      6. CONCLUSION
  10. Section 2: Basic Research: A Bridge to Digital Forensics
    1. Chapter 6: Monitoring the Trascriptome
      1. Abstract
      2. INTRODUCTION: From the Genome to the Transcriptome
      3. TRANSCRIPTOME TECHNOLOGIES
      4. DATABASES AND WEB RESOURCES
    2. Chapter 7: Resolving Sample Traces in Complex Mixtures with Microarray Analyses
      1. ABSTRACT
      2. INTRODUCTION
      3. A Brief Introduction to Microarray Data Analysis
      4. Hybridization Dynamics of Nucleic Acids on Solid Surfaces
      5. The Microdissection of Microarray Data or “Searching Needles in the Haystack”
      6. CONCLUSION
      7. APPENDIX
    3. Chapter 8: Predictive Dynamical Modelling MicroRNAs Role in Complex Networks1
      1. Abstract
      2. Introduction to the Specified Scope
      3. Recent Studies on Analysing Modules of Cancer Networks
      4. On the Role of MicroRNAs in Somitogenesis
      5. Bistable Equation with a Diffusion Term
      6. Polarization (Depolarization)-Diffusion Model with Elastic Tension
      7. On the Robustness of Polarization (Depolarization) Wave Front Propagation in a Tumor
      8. Concluding Remarks on the Polarization-Depolarization Mechanism of Cancerogenesis
      9. An Experimental Evidence of the Cell Polarization Role in Tumorogenesis
      10. Synthesis of Dynamical Model of MiRNA Regulation of a Cancer Network
      11. Analysis of Dynamical Model of miRNA Regulation of a Cancer Network
      12. Conclusion
      13. An Application of Quasi-Steady-State Approximation to MiRNA Role in Cancer Networks
      14. A Modified Minimal Model of MiRNA-Mediated Target Regulation
      15. Applying QSSA Theorem to Dynamical System (72-78)
      16. Conclusion
      17. Discussions and Unresolved Problems to be Considered in the Future
    4. Chapter 9: Machine Learning for Clinical Data Processing
      1. Abstract
      2. Introduction
      3. Summary
  11. Section 3: Digital Forensics Applications in Dentistry
    1. Chapter 10: Digital Applications in Forensic Odontology
      1. ABSTRACT
      2. Dental Identification
    2. Chapter 11: Dental Age Assessment (DAA) of Children and Emerging Adults
      1. Abstract
      2. INTRODUCTION
      3. ETHICAL ISSUES
      4. ESTABLISHMENT OF A DATABASE
      5. STATISTICAL METHODS
      6. THE TECHNIQUE OF DAA
      7. Problems with DAA Difficulties with the Technique(s) of DAA
      8. Medico Legal Status of the DAA process
      9. Closing Remarks
      10. Appendix A
      11. Appendix B
    3. Chapter 12: Automating Human Identification Using Dental X-Ray Radiographs
      1. ABSTRACT
      2. INTRODUCTION
      3. AUTOMATIC DENTAL IMAGE SEGMENTATION
      4. DENTAL MATCHING TACHNIQUES
      5. FUSION OF MATCHING TECHNIQUES
      6. CONCLUSION
    4. Chapter 13: Left-Right Asymmetries and other Common Anatomical Variants of Temporomandibular Articular Surfaces
      1. Abstract
      2. INTRODUCTION
      3. EVALUATION OF TEMPOROMANDIBULAR ARTICULAR SURFACE MORPHOLOGY
      4. INCIDENCE OF LEFT-RIGHT ASYMMETRIES AND ANATOMICAL VARIANTS OF THE TEMPORMANDIBULAR ARTICULAR SURFACES
      5. MORPHOLOGICAL AND FUNCTIONAL ASPECTS RELATED TO LEFT-RIGHT ASYMMETRIES OF THE TEMPOROMANDIBULAR ARTICULAR SURFACES
      6. CONCLUSION
    5. Chapter 14: Forensic Statistics in Health Sciences
      1. ABSTRACT
      2. INTRODUCTION
      3. DECIPHERING EVIDENCE
      4. ASSUMPTIONS IN UNDERLYING STATISTICAL ANALYSIS WHEN EVIDENCE IS PRESENTED
      5. PATTERN RECOGNITION, VOICE RECOGNITION, and FACIAL RECOGNITION
      6. DNA PROFILING
      7. PRESENTATION OF STATISTICAL EVIDENCE IN LEGAL SETTINGS
  12. Compilation of References
  13. About the Contributors