0

Biomedical Applications of Vibration and Acoustics in Imaging and Characterizations

Description | Details

The primary objective of this book is to compile the latest research topics on biomedical imaging and tissue characterization techniques that utilize vibration and acoustics. This book includes two parts. The first part is dedicated to imaging, which is comprised of eight chapters.

The second part is dedicated to the applications of vibration and acoustics in tissue characterization.

Readers will find this text a valuable asset in keeping them abreast of the latest techniques in this area. It will appeal not only to fellow researchers, but also to clinicians, practitioners, lecturers and students in this exciting and vital field of study.

  • Copyright:
    All rights reserved. Printed in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. ©  2008  ASME
  • ISBN:
    9780791802731
  • No. of Pages:
    320
  • Order No.:
    802731
Front Matter PUBLIC ACCESS
PDF
  • Part 1: Imaging, Section 1: Acoustic and Ultrasound Methods

    • Show Sections

      Hide Sections

      • Abstract
      • 1.1 Introduction
      • 1.2 Hydrodynamic Equations
      • 1.3 Dynamic Radiation Force
      • 1.4 Acoustic Scattering
      • 1.5 Radiation Force on Spheres
      • 1.5.1 Radiation Force Function
      • 1.5.2 Experimental Achievements
      • 1.5.3 Multifrequency Radiation Force
      • Appendix
      • References
    • Show Sections

      Hide Sections

      • Abstract
      • 2.1 Introduction
      • 2.2 Mathematical Model
      • 2.3 Numerical Model
      • 2.3.1 High-Frequency Propagation — Parabolic Approximation
      • 2.3.2 Low-Frequency Wavefield — Surface Integral Method
      • 2.3.3 Three-Dimensional Volume Integral Approach
      • 2.3.4 Interaction Term — Direct Calculation
      • 2.4 Preliminary Results
      • 2.5 Summary
      • References
    • Show Sections

      Hide Sections

      • Abstract
      • 3.1 Introduction
      • 3.2 Generation of Fluctuating Acoustic Radiation Force
      • 3.3 Displacement of Object Induced by Fluctuating Acoustic Radiation Force
      • 3.3.1 Experimental Setup
      • 3.3.2 Experimental Results
      • 3.4 Deformation Induced by Dual Acoustic Radiation Force Captured By Video Camera
      • 3.4.1 Experimental Setup
      • 3.4.2 Experimental Results
      • 3.5 Ultrasonic Measurement of Displacement Distribution Inside An Object Induced by Dual Acoustic Radiation Force
      • 3.5.1 Experimental Setup
      • 3.5.2 Experimental Results
      • 3.6 Discussion
      • 3.7 Conclusions
      • References
    • Show Sections

      Hide Sections

      • Abstract
      • 4.1 Introduction
      • 4.2 Formulation of the Vibroacoustic Problem
      • 4.2.1 Solid Mechanics Formulation
      • 4.2.2 Acoustic Medium
      • 4.2.3 Coupling Conditions
      • 4.3 Numerical Methods for Solving Vibroacoustic Problems
      • 4.3.1 Finite Element Method
      • 4.3.2 Boundary Element Method
      • 4.3.3 Solution of Helmholtz Equations With High Wave Number Using FEM
      • 4.4 Inverse Problem Techniques for Material Characterization
      • 4.4.1 Ill-Posedness and Regularization
      • 4.4.2 Optimization Methods
      • 4.5 Example
      • 4.6 Future Directions
      • References
    • Show Sections

      Hide Sections

      • Abstract
      • 5.1 Introduction
      • 5.2 Acoustic Radiation Force
      • 5.3 Ultrasonic Monitoring of Tissue Response to Impulsive Radiation Force
      • 5.4 Generating Images from Impulsive Radiation Force Data
      • 5.4.1 ARFI Imaging: Generating Images of Relative Differences in Displacement Response within the ROE
      • 5.4.2 ARFI Imaging of Homogeneous Tissues
      • 5.4.3 ARFI Imaging of Tissues With Internal Structures
      • 5.4.4 Contrast in ARFI Images
      • 5.5 Motion filtering for In Vivo Applications
      • 5.6 Safety Considerations
      • 5.7 Conclusions
      • References
    • Show Sections

      Hide Sections

      • Abstract
      • 6.1 Cardiovascular Applications
      • 6.1.1 Cardiac Applications
      • 6.1.2 Vascular and Abdominal Aortic Aneurysm (AAA) Applications
      • 6.2 Elasticity Imaging Methods and Findings
      • 6.2.1 Two-dimensional Myocardial Elastography
      • 6.2.2 Ultrasound and Tagged MRI Clinical Data Acquisition
      • 6.3 PWI for Vascular Disease Detection
      • 6.3.1 AAA Animal Model
      • 6.3.2 Human Applications
      • 6.4 Conclusion
      • References
    • Show Sections

      Hide Sections

      • Abstract
      • 7.1 Breast Cancer Detection
      • 7.1.1 Clinical Detection and Diagnosis of Breast Cancer
      • 7.1.2 Elasticity Imaging Techniques for Breast Cancer Detection
      • 7.2 Breast Cancer Treatment
      • 7.2.1 Radiation Therapy and Chemotherapy
      • 7.2.2 Radio Frequency (RF) Ablation
      • 7.2.3 High-Intensity Focused Ultrasound (HIFU) Ablation
      • 7.2.4 Image Guidance of HIFU or Focused Ultrasound Surgery
      • 7.2.5 Harmonic Motion Imaging (HMI) for High-Intensity Focused Ultrasound
      • 7.3 Clinical Significance
      • 7.4 Tumor Detection and Treatment Monitoring
      • 7.4.1 Harmonic Motion Imaging Technique
      • 7.4.2 Theoretical Framework for HMI Performance Assessment With Validation
      • 7.4.3 HMI Technique in bBreast Cancer Detection
      • 7.4.4 HMI Technique in the Detection of HIFU Ablation
      • 7.4.5 Real-Time Monitoring of HIFU Using HMI
      • 7.4.6 In Vivo Feasibility of the HMI Technique in Tumor Detection
      • 7.5 Conclusion
      • References
  • Part 1: Imaging, Section 2: Magnetic Resonance Methods

    • Show Sections

      Hide Sections

      • Abstract
      • 8.1 Clinical Background
      • 8.2 Principle of MRE Imaging
      • 8.3 Introduction to Elasticity Inversion Algorithms
      • 8.3.1 Wave Motion in Elastic Solids
      • 8.3.2 Algebraic Inversion of the Differential Equation (AIDE)
      • 8.3.3 Phase Gradient
      • 8.3.4 A Finite Element Based Inversion Algorithm: Overlapping Subzone Technique
      • 8.4 Mechanical Characterization of Skeletal Muscles
      • 8.5 Applications of MRE to Skeletal Muscles
      • 8.5.1 Databases of Muscle Stiffness Using MRE
      • 8.5.2 Correlation of MRE Data With a Functional Examination
      • 8.5.3 Assessing Pathologic Muscle With MRE
      • References
  • Part 2: Characterization, Section 1: Vessel characterization

    • Show Sections

      Hide Sections

      • Abstract
      • 9.1 Basic Concepts
      • 9.1.1 Non-Invasive Stiffness Detection Methods
      • 9.1.2 Cardiovascular Models
      • 9.1.3 Cuff-Soft Tissue Artery Models
      • 9.2 Theoretical Formulation
      • 9.2.1 Acoustic Model
      • 9.2.2 Cuff-Soft Tissue-Brachial Artery Model
      • 9.3 Model Development and Simulation
      • 9.3.1 Acoustic Model
      • 9.3.2 Cuff-Soft Tissue-Brachial Artery Model
      • 9.3.3 Combined Model
      • 9.4 Model Results and Applications
      • 9.4.1 Simulation and Feature Extraction
      • 9.4.2 Effect of Artery Stiffness
      • 9.4.3 Effect of Artery Radius
      • 9.4.4 Effect of Aortic Thickness
      • 9.4.5 Effect of Heart Rate
      • 9.4.6 Effect of Cuff Pressure
      • 9.4.7 Applications
      • References
  • Part 2: Characterization, Section 2: Tissue Characterization

    • Show Sections

      Hide Sections

      • Abstract
      • 11.1 Introduction
      • 11.2 Tissue Motion Detection Using Ultrasound
      • 11.3 Introduction to the Kalman Filter
      • 11.4 Tissue Harmonic Motion Estimation
      • 11.4.1 Detecting Vibration Information Using Pulse Echo Ultrasound
      • 11.4.2 Extract Vibration Signal from Demodulated Ultrasound Echoes
      • 11.4.3 Estimate Vibration Displacement and Phase
      • 11.4.4 Case Studies
      • 11.5 Conclusions
      • References
    • Show Sections

      Hide Sections

      • Abstract
      • 12.1 Introduction
      • 12.2 Principle of SDUV
      • 12.3 Vibration Detection with Pulse-Echo Ultrasound
      • 12.4 Motion Generation and Detection with a Single-Array Transducer
      • 12.4.1 Motivation
      • 12.4.2 Challenges
      • 12.4.3 Intermittent Pulse Sequence
      • 12.5 Discussion
      • 12.6 Conclusions
      • References
  • Part 2: Characterization, Section 3: Bone Characterization

Back Matter Public Access
PDF

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In