Quantification of Blood Flow from Rotational Angiography 1st Edition by I Waechter, J Bredno, D C Barratt, J Weese, David J Hawkes – Ebook PDF Instant Download/Delivery. 9783540757573
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ISBN 10:
ISBN 13: 9783540757573
Author: I Waechter, J Bredno, D C Barratt, J Weese, David J Hawkes
For assessment of cerebrovascular diseases, it is beneficial to obtain three-dimensional (3D) information on vessel morphology and hemodynamics. Rotational angiography is routinely used to determine the 3D geometry and we propose a method to exploit the same acquisition to determine the blood flow waveform and the mean volumetric flow rate. The method uses a model of contrast agent dispersion to determine the flow parameters from the spatial and temporal development of the contrast agent concentration, represented by a flow map. Furthermore, it also overcomes artifacts due to the rotation of the c-arm using a newly introduced reliability map. The method was validated on images from a computer simulation and from a phantom experiment. With a mean error of 11.0% for the mean volumetric flow rate and 15.3% for the blood flow waveform from the phantom experiments, we conclude that the method has the potential to give quantitative estimates of blood flow parameters during cerebrovascular interventions.
Quantification of Blood Flow from Rotational Angiography 1st Table of contents:
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Introduction
1.1 Motivation and Background
1.2 Importance of Blood Flow Quantification in Medical Imaging
1.3 Rotational Angiography: Overview and Capabilities
1.4 Challenges in Blood Flow Quantification
1.5 Key Contributions and Objectives of the Paper
1.6 Structure of the Paper -
Preliminaries
2.1 Fundamentals of Angiography and Rotational Angiography
2.2 Blood Flow Dynamics and Quantification Methods
2.3 Mathematical Models for Blood Flow Measurement
2.4 Image Processing Techniques for Angiographic Data
2.5 Previous Work on Blood Flow Quantification Using Angiography -
Methodology for Blood Flow Quantification
3.1 Image Acquisition and Preprocessing in Rotational Angiography
3.2 3D Reconstruction from Rotational Angiography Data
3.3 Techniques for Blood Flow Estimation from 3D Vascular Models
3.4 Computational Fluid Dynamics (CFD) Models for Blood Flow Analysis
3.5 Integration of Hemodynamic Data with Angiographic Imaging -
Quantification Algorithm
4.1 Mathematical Formulation for Blood Flow Quantification
4.2 Algorithm for Flow Calculation from 3D Angiographic Data
4.3 Estimating Flow Rates in Complex Vascular Networks
4.4 Calibration and Validation of Flow Models
4.5 Optimization of Quantification Algorithms for Clinical Use -
Experimental Results
5.1 Description of the Dataset and Experimental Setup
5.2 Evaluation Metrics for Blood Flow Quantification Accuracy
5.3 Comparison of Blood Flow Estimates with Other Quantification Methods
5.4 Visual and Quantitative Analysis of Flow in Different Anatomical Regions
5.5 Sensitivity Analysis and Robustness to Variations in Angiographic Data -
Applications
6.1 Clinical Applications in Cardiology (e.g., Coronary Artery Disease)
6.2 Applications in Neurology (e.g., Cerebral Blood Flow)
6.3 Role in Vascular Surgery and Intervention Planning
6.4 Enhancing Real-Time Blood Flow Visualization in Angiography
6.5 Integration with Other Imaging Modalities for Comprehensive Vascular Assessment -
Discussion
7.1 Insights from the Quantification of Blood Flow Using Rotational Angiography
7.2 Strengths and Limitations of the Proposed Method
7.3 Computational Complexity and Real-Time Feasibility
7.4 Challenges in Translating to Routine Clinical Practice
7.5 Future Directions and Potential for Enhanced Quantification Models
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