- Format
- Häftad (Paperback)
- Språk
- Engelska
- Antal sidor
- 218
- Utgivningsdatum
- 2020-06-09
- Förlag
- Elsevier
- Medarbetare
- Balocco, Simone (ed.)
- Illustrationer
- Color illustrations
- Dimensioner
- 235 x 190 x 12 mm
- Vikt
- Antal komponenter
- 1
- Komponenter
- 1303:Standard Color 7.5 x 9.25 in or 235 x 191 mm Perfect Bound on White w/Gloss Lam
- ISBN
- 9780128188330
- 386 g
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Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting
Balocco Simone
Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting presents imaging, treatment, and computed assisted technological techniques for diagnostic and intraoperative vascular imaging and stenting. These techniques offe...
Övrig information
Dr. Simone Balocco is Associate Professor of the University of Barcelona, Departement of Mathematics and Informatics, and is senior researcher at the Computer Vision Center, Bellaterra. He obtained a PhD degree in Acoustics at the laboratory Creatis, Lyon and in Electronic and Telecommunication in MSD Lab, University of Florence (Italy). He performed a post-doc at the laboratory CISTIB, at the University Pompeu Fabra. Dr. Balocco main research interest are pattern recognition and computer vision methods for the computer-aided detection of clinical pathologies. In particular his research focuses on Ultrasound and Magnetic Imaging applications and vascular modelling.
Innehållsförteckning
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