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Intravascular Ultrasound
From Acquisition to Advanced Quantitative Analysis
Taschenbuch von Simone Balocco
Sprache: Englisch

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Beschreibung
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.
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.
Inhaltsverzeichnis
1. Introduction
SECTION I: CLINICAL IVUS
2. Clinical Utility of Intravascular Ultrasound
3. Convenience of Intravascular Ultrasound in Coronary Chronic Total Occlusion Recanalization
4. Intracardiac Ultrasound
5. Quantitative Virtual Histology for In Vivo Evaluation of Human Atherosclerosis- A Plaque Biomechanics-Based Novel Image Analysis Algorithm: Validation and Applications to Atherosclerosis Research
SECTION II: IVUS IMAGE ANALYSIS
6. A State-of-the-Art Intravascular Ultrasound Diagnostic System
7. Multimodality Intravascular Imaging Technology
8. Quantitative Assessment and Prediction of Coronary Plaque Development Using Serial Intravascular Ultrasound and Virtual Histology
9. Training Convolutional Nets to Detect Calcified Plaque in IVUS Sequences
10. Computer-Aided Detection of Intracoronary Stent Location and Extension in Intravascular Ultrasound Sequences
11. Real-Time Robust Simultaneous Catheter and Environment Modeling for Endovascular Navigation
Details
Medium: Taschenbuch
ISBN-13: 9780128188330
ISBN-10: 0128188332
Sprache: Englisch
Herstellernummer: C2018-0-04839-2
Redaktion: Balocco, Simone
Hersteller: Elsevier
Elsevier Science & Technology
Maße: 234 x 191 x 235 mm
Von/Mit: Simone Balocco
Gewicht: 0,468 kg
preigu-id: 126701430
Inhaltsverzeichnis
1. Introduction
SECTION I: CLINICAL IVUS
2. Clinical Utility of Intravascular Ultrasound
3. Convenience of Intravascular Ultrasound in Coronary Chronic Total Occlusion Recanalization
4. Intracardiac Ultrasound
5. Quantitative Virtual Histology for In Vivo Evaluation of Human Atherosclerosis- A Plaque Biomechanics-Based Novel Image Analysis Algorithm: Validation and Applications to Atherosclerosis Research
SECTION II: IVUS IMAGE ANALYSIS
6. A State-of-the-Art Intravascular Ultrasound Diagnostic System
7. Multimodality Intravascular Imaging Technology
8. Quantitative Assessment and Prediction of Coronary Plaque Development Using Serial Intravascular Ultrasound and Virtual Histology
9. Training Convolutional Nets to Detect Calcified Plaque in IVUS Sequences
10. Computer-Aided Detection of Intracoronary Stent Location and Extension in Intravascular Ultrasound Sequences
11. Real-Time Robust Simultaneous Catheter and Environment Modeling for Endovascular Navigation
Details
Medium: Taschenbuch
ISBN-13: 9780128188330
ISBN-10: 0128188332
Sprache: Englisch
Herstellernummer: C2018-0-04839-2
Redaktion: Balocco, Simone
Hersteller: Elsevier
Elsevier Science & Technology
Maße: 234 x 191 x 235 mm
Von/Mit: Simone Balocco
Gewicht: 0,468 kg
preigu-id: 126701430
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