Intravascular Ultrasound: From Acquisition to Advanced Quantitative Analysis

 

Description:

Intravascular Ultrasound: From Acquisition to Advanced Quantitative Analysis covers topics of the whole imaging pipeline, ranging from the definition of the clinical problem and image acquisition systems to image processing and analysis, including the assisted clinical-decision making procedures and treatment planning (stent deployment and follow up). Atherosclerosis, a disease of the vessel wall that produces vessel narrowing and obstruction, is the major cause of cardiovascular diseases, such as heart attack or stroke. This book covers all aspects of this imaging tool that allows for the visualization of internal vessel structures and the quantification and characterization of coronary plaque.

Provides an introduction to the clinical workflow and current challenges in endovascular interventions

Presents a review of the state-of-the-art methodologies in IVUS imaging and their applications

Includes a rich analysis of the current and potential future connections between the academic, clinical and industrial fields

 

Table of Contents:

 

Chapter 1: Introduction

Section I: Clinical Ivus

Chapter 2: Clinical Utility of Intravascular Ultrasound

1. Introduction

2. Basic Principles of Imaging Acquisition

3. IVUS in Clinical Practice

3.1. IVUS in Percutaneous Transluminal Coronary Angioplasty

3.2. IVUS in the Bare Metal Stent Era

3.3. IVUS in the Drug-Eluting Stent Era

4. IVUS Applications

4.1. IB-IVUS

4.2. VH-IVUS

4.3. iMap-IVUS

4.4. NIRS-IVUS

4.5. Contrast-Enhanced IVUS

5. IVUS Assessment of Plaque Progression

6. IVUS in Complex Coronary Lesions

6.1. Left Main Coronary Artery Lesions

6.2. Other Coronary Lesions

6.3. Calcified Lesions

6.4. Coronary Chronic Total Occlusion

7. IVUS Pitfalls

8. IVUS Complications

9. Future Perspectives

References

Chapter 3: Convenience of Intravascular Ultrasound in Coronary Chronic Total Occlusion Recanalizatio

1. Innovation Chronology on CTO Coronary Intervention Guided by IVUS

2. Why and When IVUS Is Used in CTO Recanalization

2.1. Anterograde Approach to CTO Recanalization

2.1.1. IVUS to define the proximal edge and validate the true lumen access

2.1.2. IVUS to delimit true lumen situation versus guidewire position along with the CTO stenosis un

2.1.3. IVUS to size and optimize the stent

2.2. IVUS in Retrograde CTO Recanalization

2.2.1. IVUS in reverse recanalization

2.2.2. IVUS in reverse CART

2.2.3. IVUS in bailout

2.2.4. Size and optimize the stent

3. Case Examples

3.1. Case 1 Example

Anterograde RCA CTO

Introduction

3.2. Case 2 Example

Anterograde LAD CTO

Introduction

3.3. Case 3 Example

Ostial LAD CTO procedure guided from diagonal IVUS

Introduction

3.4. Case 4 Example

Calcified CTO in LAD

Introduction

3.5. Case 5 Example

LAD CTO, anterograde wired in false lumen

Introduction

3.6. Case 6 Example

LM severe stenosis and LAD CTO

Introduction

3.7. Case 7 Example

LAD CTO, bailout retrograde from RCA

Introduction

References

Chapter 4: Intracardiac Ultrasound

1. Introduction

2. ICE Devices and Case Studies

3. Rotational System

4. Phased Array System

5. Position and Image Examples of Phased Array System3

6. Case Examples

7. Patent Foramen Ovale7

8. Atrial Septum Defect

9. Hypertrophic Obstructive Cardiomyopathy8

10. Left Atrial Appendage Closure9

11. 3D/4D Developments (Phased Array Only)

12. Transseptal Puncture

13. Cryoablation; Positioning of the Cryoballoon

14. PFO Closure

References

Chapter 5: Quantitative Virtual Histology for In Vivo Evaluation of Human Atherosclerosis-A Plaque B

Summary

List of Abbreviations

1. Introduction

2. Methodology

3. Results

4. Discussion

References

Section II: Ivus Image Analysis

Chapter 6: A State-of-the-Art Intravascular Ultrasound Diagnostic System

1. Introduction

1.1. Overview

1.2. Procedure of IVUS Observation

1.2.1. Preparation

1.2.2. Observation

1.2.3. Catheter removal

2. IVUS Imaging Catheter

2.1. Concept

2.2. Requirements for Catheter

2.2.1. Trackability

2.2.2. Pushability

2.2.3. Crossability

2.2.4. Visibility

2.2.5. Safety

2.3. Requirements for Ultrasound Probe

2.3.1. Radial imaging

2.3.2. Longitudinal imaging

2.3.3. Ultrasound transmission

3. System Configuration

3.1. Motor Drive Unit

3.2. Console

4. Signal Processing

4.1. Image Construction

4.2. High-Frequency IVUS

5. Concluding Remarks

References

Chapter 7: Multimodality Intravascular Imaging Technology

1. Introduction

2. Hybrid IVUS-OCT Imaging Technology

3. Near-Infrared Spectroscopy

4. Intravascular Photoacoustics

5. Near-Infrared Fluorescence

6. Fluorescence Lifetime Imaging

7. Multimodality Imaging: Clinical Outlook

References

Chapter 8: Quantitative Assessment and Prediction of Coronary Plaque Development Using Serial Intrav

1. Introduction

1.1. Segmentation and Registration Approaches

1.2. Quantitative Assessment and Prediction

1.3. Study Background

2. Graph-Based IVUS Segmentation

2.1. Optimal Graph Search: LOGISMOS

2.2. Graph and Cost-Function Design

2.3. Advanced Editing: Just Enough Interaction

3. Baseline/Follow-Up Registration

3.1. 3D Correspondence Graph

3.2. Feature- and Morphology-Based Similarity

3.3. Finding the Start and End Frame Pairs

3.4. Validation Results

4. Morphology Assessment: Remodeling

4.1. Progression and Regression Groups

4.2. Plaque and Adventitia Development

5. Prediction of Plaque Development

5.1. Plaque Phenotype Definitions

5.2. Features and Classifiers

5.3. Feature Selection for Predictions

5.4. Analysis and Prediction Results

6. Conclusions

Glossary

References

Chapter 9: Training Convolutional Nets to Detect Calcified Plaque in IVUS Sequences

1. Introduction

2. Methodology

2.1. Frame-Based Detection

2.1.1. Convolutional architectures

2.1.2. Training deep calcified plaque detectors

2.2. Improving Temporal Consistency

2.3. Final Selection of Relevant Frames

3. Experiments and Discussion

3.1. Materials

3.2. Evaluation Metrics

3.3. Experiments

3.4. Results

3.5. Qualitative Evaluation

4. Conclusions

References

Chapter 10: Computer-Aided Detection of Intracoronary Stent Location and Extension in Intravascular

1. Introduction

2. Stent Shape Estimation

2.1. State of the Art of Stent Shape Estimation

2.2. Method

2.2.1. Gating

2.2.2. Semantic classification

Classes definition

Pixel-wise descriptor

Semantic classification framework

2.2.3. Stent modeling

Stent shape estimation

Strut detection

2.3. Validation

2.3.1. Material

2.3.2. Experiments on stent modeling

2.4. Discussion

2.4.1. Metallic stents

Bioabsorbable stents

2.5. Conclusion

3. Longitudinal Stent Location

3.1. State of the Art of Longitudinal Stent Location

3.2. Method

3.2.1. Gating and strut detection

3.2.2. Stent presence assessment

3.3. Validation

3.3.1. Material

3.3.2. Experiments on stent presence assessment

3.3.3. Malapposition analysis

3.4. Results

3.4.1. Metallic stents

Bioabsorbable stents

3.5. Discussion

3.6. Conclusion

4. General Conclusion

References

Chapter 11: Real-Time Robust Simultaneous Catheter and Environment Modeling for Endovascular Navigat

1. Introduction

2. Vessel Modeling in SCEM

3. Methods

3.1. Optimization Based on the Preoperative Data

3.2. Uncertainty Estimation

3.3. Real-Time Implementation

4. Results

4.1. Simulation and Robustness Assessment

4.2. Phantom Experiments

5. Conclusion

References

Index

Back Cover

 

 

An aparitie	23 Jun. 2020
Autor	Simone Balocco
Dimensiuni	19.05 x 1.17 x 23.5 cm
Editura	Elsevier
Format	Paperback
ISBN	9780128188330
Limba	Engleza
Nr pag	218