Modeling of Needle Tissue Interaction Using Ultrasound Based Motion Estimation 1st Edition by Ehsan Dehghan, Xu Wen, Reza Zahiri Azar, Maud Marchal, Septimiu E Salcudean ISBN 9783540757573

Modeling of Needle Tissue Interaction Using Ultrasound Based Motion Estimation 1st Edition by Ehsan Dehghan, Xu Wen, Reza Zahiri Azar, Maud Marchal, Septimiu E Salcudean – Ebook PDF Instant Download/Delivery. 9783540757573
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ISBN 10: 
ISBN 13: 9783540757573
Author: Ehsan Dehghan, Xu Wen, Reza Zahiri Azar, Maud Marchal, Septimiu E Salcudean

A needle-tissue interaction model is an essential part of every needle insertion simulator. In this paper, a new experimental method for the modeling of needle-tissue interaction is presented. The method consists of measuring needle and tissue displacements with ultrasound, measuring needle base forces, and using a deformation simulation model to identify the parameters of a needle-tissue interaction model. The feasibility of this non-invasive approach was demonstrated in an experiment in which a brachytherapy needle was inserted into a prostate phantom. Ultrasound radio-frequency data and the time-domain cross-correlation method, often used in ultrasound elastography, were used to generate the tissue displacement field during needle insertion. A three-parameter force density model was assumed for the needle-tissue interaction. With the needle displacement, tissue displacement and needle base forces as input data, finite element simulations were carried out to adjust the model parameters to achieve a good fit between simulated and measured data.

Modeling of Needle Tissue Interaction Using Ultrasound Based Motion Estimation 1st Table of contents:

• Introduction
  1.1 Motivation and Background
  1.2 Importance of Needle-Tissue Interaction Modeling in Medical Procedures
  1.3 Role of Ultrasound in Monitoring Needle Insertion
  1.4 Overview of Motion Estimation Techniques in Ultrasound Imaging
  1.5 Key Contributions and Objectives of the Paper
  1.6 Structure of the Paper

• Preliminaries
  2.1 Overview of Needle Insertion in Medical Applications
  2.2 Ultrasound Imaging: Principles and Challenges in Motion Estimation
  2.3 Needle-Tissue Interaction: Mechanisms and Physical Modeling
  2.4 Previous Work on Modeling Needle-Tissue Interactions
  2.5 Ultrasound-Based Motion Estimation Methods in Medical Imaging

• Needle-Tissue Interaction Modeling
  3.1 Theoretical Framework for Needle-Tissue Interaction
  3.2 Mechanical Models for Simulating Tissue Deformation during Needle Insertion
  3.3 Modeling Needle Dynamics in Tissue: Kinematics and Forces
  3.4 Mathematical Formulation of Needle-Tissue Interaction
  3.5 Role of Material Properties and Tissue Heterogeneity in Modeling

• Ultrasound-Based Motion Estimation
  4.1 Overview of Motion Estimation Techniques in Ultrasound Imaging
  4.2 Correlation-Based Methods for Estimating Motion in Tissue
  4.3 Speckle Tracking and Strain Imaging in Ultrasound
  4.4 Real-Time Ultrasound Motion Estimation for Needle Tracking
  4.5 Integration of Motion Estimation with Needle-Tissue Interaction Models

• Methodology
  5.1 Data Acquisition and Ultrasound Imaging Protocol
  5.2 Needle Insertion Simulation and Ultrasound Data Collection
  5.3 Ultrasound Motion Estimation Algorithm Implementation
  5.4 Model Calibration and Parameter Estimation for Needle-Tissue Interaction
  5.5 Coupling Motion Estimation with Needle Interaction Models

• Experimental Results and Evaluation
  6.1 Experimental Setup and Data Collection Procedures
  6.2 Quantitative Evaluation Metrics for Motion Estimation Accuracy
  6.3 Performance of Needle-Tissue Interaction Models in Different Tissue Types
  6.4 Case Studies and Validation of Model Predictions
  6.5 Sensitivity Analysis: Effect of Tissue Properties and Ultrasound Quality

• Applications in Medical Procedures
  7.1 Real-Time Needle Tracking and Guidance during Medical Interventions
  7.2 Applications in Biopsy, Drug Delivery, and Tumor Ablation
  7.3 Role in Minimally Invasive Surgeries and Precision Medicine
  7.4 Integration with Robotic Surgery Systems and Navigation Tools

• Discussion
  8.1 Insights from the Modeling of Needle-Tissue Interaction
  8.2 Strengths and Limitations of Ultrasound-Based Motion Estimation
  8.3 Challenges in Real-Time Implementation and Clinical Adoption
  8.4 Future Directions for Improving Needle-Tissue Interaction Models
  8.5 Potential for Machine Learning and AI Integration in Needle-Tissue Modeling

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