Ebook: Multi-Modality Atherosclerosis Imaging and Diagnosis

Stroke is one of the leading causes of death in the world, resulting mostly from the sudden ruptures of atherosclerosis carotid plaques. Understanding why and how plaque develops and ruptures requires a multi-disciplinary approach such as radiology, biomedical engineering, medical physics, software engineering, hardware engineering, pathological and histological imaging. Multi-Modality Atherosclerosis Imaging, Diagnosis and Treatment presents a new dimension of understanding Atherosclerosis in 2D and 3D. This book presents work on plaque stress analysis in order to provide a general framework of computational modeling with atherosclerosis plaques. New algorithms based on 3D and 4D Ultrasound are presented to assess the atherosclerotic disease as well as very recent advances in plaque multimodality image fusion analysis.

The goal of Multi-Modality Atherosclerosis Imaging, Diagnosis and Treatment is to fuse information obtained from different 3D medical image modalities, such as 3D US, CT and MRI, providing the medical doctor with some sort of augmented reality information about the atherosclerotic plaque in order to improve the accuracy of the diagnosis. Analysis of the plaque dynamics along the cardiac cycle is also a valuable indicator for plaque instability assessment and therefore for risk stratification. 4D Ultrasound, a sequence of 3D reconstructions of the region of interest along the time, can be used for this dynamic analysis. Multimodality Image Fusion is a very appealing approach because it puts together the best characteristics of each modality, such as, the high temporal resolution of US and the high spatial resolutions of MRI and CT.

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Stroke is one of the leading causes of death in the world, resulting mostly from the sudden ruptures of atherosclerosis carotid plaques. Understanding why and how plaque develops and ruptures requires a multi-disciplinary approach such as radiology, biomedical engineering, medical physics, software engineering, hardware engineering, pathological and histological imaging. Multi-Modality Atherosclerosis Imaging, Diagnosis and Treatment presents a new dimension of understanding Atherosclerosis in 2D and 3D. This book presents work on plaque stress analysis in order to provide a general framework of computational modeling with atherosclerosis plaques. New algorithms based on 3D and 4D Ultrasound are presented to assess the atherosclerotic disease as well as very recent advances in plaque multimodality image fusion analysis.

The goal of Multi-Modality Atherosclerosis Imaging, Diagnosis and Treatment is to fuse information obtained from different 3D medical image modalities, such as 3D US, CT and MRI, providing the medical doctor with some sort of augmented reality information about the atherosclerotic plaque in order to improve the accuracy of the diagnosis. Analysis of the plaque dynamics along the cardiac cycle is also a valuable indicator for plaque instability assessment and therefore for risk stratification. 4D Ultrasound, a sequence of 3D reconstructions of the region of interest along the time, can be used for this dynamic analysis. Multimodality Image Fusion is a very appealing approach because it puts together the best characteristics of each modality, such as, the high temporal resolution of US and the high spatial resolutions of MRI and CT.

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Stroke is one of the leading causes of death in the world, resulting mostly from the sudden ruptures of atherosclerosis carotid plaques. Understanding why and how plaque develops and ruptures requires a multi-disciplinary approach such as radiology, biomedical engineering, medical physics, software engineering, hardware engineering, pathological and histological imaging. Multi-Modality Atherosclerosis Imaging, Diagnosis and Treatment presents a new dimension of understanding Atherosclerosis in 2D and 3D. This book presents work on plaque stress analysis in order to provide a general framework of computational modeling with atherosclerosis plaques. New algorithms based on 3D and 4D Ultrasound are presented to assess the atherosclerotic disease as well as very recent advances in plaque multimodality image fusion analysis.

The goal of Multi-Modality Atherosclerosis Imaging, Diagnosis and Treatment is to fuse information obtained from different 3D medical image modalities, such as 3D US, CT and MRI, providing the medical doctor with some sort of augmented reality information about the atherosclerotic plaque in order to improve the accuracy of the diagnosis. Analysis of the plaque dynamics along the cardiac cycle is also a valuable indicator for plaque instability assessment and therefore for risk stratification. 4D Ultrasound, a sequence of 3D reconstructions of the region of interest along the time, can be used for this dynamic analysis. Multimodality Image Fusion is a very appealing approach because it puts together the best characteristics of each modality, such as, the high temporal resolution of US and the high spatial resolutions of MRI and CT.

Content:
Front Matter....Pages i-xix
Front Matter....Pages 1-1
Imaging Occlusive Atherosclerosis....Pages 3-12
Front Matter....Pages 13-13
Histopathology of Atherosclerosis Progression: What Imagers Need to Know....Pages 15-24
Clinical MRA of the Carotid Arteries....Pages 25-35
Quantitative MR Analysis for the Assessment of Carotid Atherosclerosis....Pages 37-64
Contrast Agents in Carotid Angiography with Magnetic Resonance....Pages 65-71
Quantitative Magnetic Resonance Analysis in the Assessment of Cardiac Diseases....Pages 73-80
Atherosclerosis Plaque Stress Analysis: A Review....Pages 81-93
Carotid Plaque Stress Analysis: Issues on Patient-Specific Modeling....Pages 95-106
Magnetic Resonance Imaging of Vulnerable Carotid Plaques....Pages 107-119
Front Matter....Pages 121-121
Clinical CT Imaging of Carotid Arteries....Pages 123-128
Quantitative CT Imaging of Carotid Arteries....Pages 129-144
Quantitative Computed Tomography Analysis in the Assessment of Coronary Artery Disease....Pages 145-151
Front Matter....Pages 153-153
A Gamma Mixture Model for IVUS Imaging....Pages 155-171
Ultrasound Profile of Carotid Plaque: A New Approach Towards Stroke Prediction....Pages 173-185
Ultrasonographic Quantification of Carotid Stenosis: A Reappraisal Using a New Gold Standard....Pages 187-197
Histologic and Biochemical Composition of Carotid Plaque and Its Impact on Ultrasonographic Appearance....Pages 199-207
Automated Carotid IMT Measurement and Its Validation in Low Contrast Ultrasound Database of 885 Patient Indian Population Epidemiological Study: Results of AtheroEdge® Software....Pages 209-219
Carotid Artery Recognition System(CARS): A Comparison of Three Automated Paradigms for Ultrasound Images....Pages 221-236
Atherosclerotic Carotid Plaque Segmentation in Ultrasound Imaging of the Carotid Artery....Pages 237-246
Relationship Between Plaque Echogenicity and Atherosclerosis Biomarkers....Pages 247-253
Front Matter....Pages 153-153
Hypothesis Validation of Far Wall Brightness in Carotid Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level Set Segmentation and Registration....Pages 255-267
Segmentation of Carotid Ultrasound Images....Pages 269-286
Front Matter....Pages 287-287
Imaging of Aortic Aneurysms:What Do We Need to Know and Which Techniques Should Be Chosen?....Pages 289-298
Molecular Imaging of Inflammation and Intraplaque Vasa Vasorum....Pages 299-316
Carotid Angioplasty and Stenting....Pages 317-339
New Approaches for Plaque Component Analysis in Intravascular Ultrasound (IVUS) Images....Pages 341-376
Visualization of Atherosclerotic Coronary Plaque by Using Optical Coherence Tomography....Pages 377-384
Image Fusion Technology....Pages 385-398
Symptomatic Versus Asymptomatique Plaque Classification in Carotid Ultrasound....Pages 399-408
Back Matter....Pages 409-422