Multi-Modality Atherosclerosis Imaging and Diagnosis
(Sprache: Englisch)
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,...
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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.
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.
Klappentext zu „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.
Inhaltsverzeichnis zu „Multi-Modality Atherosclerosis Imaging and Diagnosis “
1. Histology and Pathology of 3D AtherosclerosisMastaka Nakano, Elena R. Ladich, and Renu Virmani
2. Clinical MRA of the Carotid Arteries
Michele Anzidei, Beatrice Cavallo Marincola, Fabrizio Boni, and Carlo Catalano
3. Quantitative MR Imaging of the Carotids
Tobias Saam
4. Contrast Agents in Carotid Angiography with Magnetic Resonance
Michele Anzidei, Chiara Zini, and Vincenzo Noce
5. Quantitative Magnetic Resonance Analysis in the Assessment of Cardiac Diseases
Erica Maffei, Giancarlo Messalli, Cesare Mantini, Teresa Arcadi, Chiara Martini, Massimo Imbriaco, and Filippo Cademartiri
6. Atherosclerosis Plaque Stress Analysis: A Review
Hao Gao and Quan Long
7. Carotid Plaque Stress Analysis: Issues on Patient Specific Modelling
Hao Gao and Quan Long
8. Noninvasive Targeting of Vulnerable Carotid Plaques for Therapeutic Interventions
Rikin A. Trivedi
9. Clinical CT Imaging of Carotid
... mehr
Arteries
Chandra dev Sahu and Max Wintermark
10. Quantitative CT Imaging of Carotid Arteries
M.J. van Gils, K. Hameeteman, M. van Straten, W.J. Niessen, and A. van der Lugt
11. Quantitative Computed Tomography Analysis in the Assessment of Coronary Artery Disease
Erica Maffei, Giancarlo Messalli, Cesare Mantini, Teresa Arcadi, Chiara Martini, Massimo Imbriaco, and Filippo Cademartiri
12. A Gamma Mixture Model for IVUS Imaging
G. Vegas Sánchez-Ferrero, M. Martín Fernández, and J. Miguel Sanches
13. Ultrasound Profile of Carotid Plague. A New Approach Towards Stroke Prediction
José Seabra, Luís Mendes Pedro, J. Fernandes e Fernandes, and J. Miguel Sanches
14. Ultrasonographic Quantification of Carotid Stenosis: A Reappraisal Using a New Gold Standard
Luís Mendes Pedro, Ruy Fernandes e Fernandes, Luís M. Silvestre, and J. Fernandes e Fernandes
15. Histologic and Biochemical Composition of Carotid Plaque and Its Impact on Ultrasonographic Appearance
Isabel Gonçalves
16. Automated Carotid IMT Measurement and Its Validation in Low Contrast Ultrasound Database of 885 Patient Indian Population Epidemiological Study: Results of AtheroEdgeTM Software
Filippo Molinari, Kristen M. Meiburger, Guang Zeng, Luca Saba, U. Rajendra Acharya, Luca Famiglietti, Niki Georgiou, Andrew Nicolaides, Raja Sriswan Mamidi, Hannah Kuper, and Jasjit S. Suri
17. Carotid Artery Recognition System (CARS): A Comparison of Three Automated Paradigms for Ultrasound Images
Filippo Molinari, Kristen Mariko Meiburger, Guang Zeng, U. Rajendra Acharya, William Liboni, Andrew Nicolaides, and Jasjit S. Suri
18. Atherosclerotic Carotid Plaque Segmentation in Ultrasound Imaging of the Carotid Artery
Christos P. Loizou and Marios Pantzaris
19. Relationship Between Plaque Echogenicity and Atherosclerosis Biomarkers
John D. Kakisis, Efthimios Avgerinos, Nikolaos Kadoglou, George Sfyroeras, Konstantinos Moulakakis, and Christos D. Liapis
20. Hypothesis Validation of Far Wall Brightness in Carotid Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level Set Segmentation & Registration
Filippo Molinari, Ganapathy Krishnamurthy, U. Rajendra Acharya, S. Vinitha Sree, Guang Zeng, Luca Saba, Andrew Nicolaides, and Jasjit S. Suri
21. Segmentation of Carotid Ultrasound Images
Rui Rocha, Jorge Silva, and Aurélio Campilho
22. Imaging Occlusive Atherosclerosis
J. Fernandes e Fernandes, L. Mendes Pedro, R. Fernandes e Fernandes, and L. Silvestre
23. Imaging of Aortic Aneurysms: What Do We Need to Know and Which Techniques Should Be Chosen?
Nuno V. Dias and Timothy Resch
24. Molecular Imaging of Inflammation and Intraplaque Veovascularization
Gerrit L. ten Kate, Sitjn C.H. van den Oord, Eric J.G. Sijbrands, Antonius F.W. van der Steen, and Arend F.L. Schinkel
25. Carotid Angioplasty and Stenting
Sebastián Baldi, Luis García Nielsen, Tobias Zander, Rafael Feldman, and Manuel Maynar
26. New Approaches for Plaque Component Analysis in Intravascular Ultrasound (IVUS) Images
Arash Taki, Alireza Roodaki, Sara Avansari, Ali Bigdelou, Amin Katouzian, and Nassir Navab
27. Visualization of Atherosclerotic Coronary Plaque by Using Optical Coherence Tomography
Takashi Kubo and Takashi Akasaka
28. Image Fusion Technology
Gerd Brunner, Eric Y. Yang, Joel D. Morrisett, Zsolt Garami, and Vijay Nambi
29. Generalized Symptomatic vs. Asymptomatic Plaque Characterization and Classification in Carotid Ultrasound Images
U. Rajendra Acharya, Oliver Faust, S. Vinitha Sree, Filippo Molinari, Luca Saba, Andrew Nicolaides, and Jasjit S. Suri
Chandra dev Sahu and Max Wintermark
10. Quantitative CT Imaging of Carotid Arteries
M.J. van Gils, K. Hameeteman, M. van Straten, W.J. Niessen, and A. van der Lugt
11. Quantitative Computed Tomography Analysis in the Assessment of Coronary Artery Disease
Erica Maffei, Giancarlo Messalli, Cesare Mantini, Teresa Arcadi, Chiara Martini, Massimo Imbriaco, and Filippo Cademartiri
12. A Gamma Mixture Model for IVUS Imaging
G. Vegas Sánchez-Ferrero, M. Martín Fernández, and J. Miguel Sanches
13. Ultrasound Profile of Carotid Plague. A New Approach Towards Stroke Prediction
José Seabra, Luís Mendes Pedro, J. Fernandes e Fernandes, and J. Miguel Sanches
14. Ultrasonographic Quantification of Carotid Stenosis: A Reappraisal Using a New Gold Standard
Luís Mendes Pedro, Ruy Fernandes e Fernandes, Luís M. Silvestre, and J. Fernandes e Fernandes
15. Histologic and Biochemical Composition of Carotid Plaque and Its Impact on Ultrasonographic Appearance
Isabel Gonçalves
16. Automated Carotid IMT Measurement and Its Validation in Low Contrast Ultrasound Database of 885 Patient Indian Population Epidemiological Study: Results of AtheroEdgeTM Software
Filippo Molinari, Kristen M. Meiburger, Guang Zeng, Luca Saba, U. Rajendra Acharya, Luca Famiglietti, Niki Georgiou, Andrew Nicolaides, Raja Sriswan Mamidi, Hannah Kuper, and Jasjit S. Suri
17. Carotid Artery Recognition System (CARS): A Comparison of Three Automated Paradigms for Ultrasound Images
Filippo Molinari, Kristen Mariko Meiburger, Guang Zeng, U. Rajendra Acharya, William Liboni, Andrew Nicolaides, and Jasjit S. Suri
18. Atherosclerotic Carotid Plaque Segmentation in Ultrasound Imaging of the Carotid Artery
Christos P. Loizou and Marios Pantzaris
19. Relationship Between Plaque Echogenicity and Atherosclerosis Biomarkers
John D. Kakisis, Efthimios Avgerinos, Nikolaos Kadoglou, George Sfyroeras, Konstantinos Moulakakis, and Christos D. Liapis
20. Hypothesis Validation of Far Wall Brightness in Carotid Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level Set Segmentation & Registration
Filippo Molinari, Ganapathy Krishnamurthy, U. Rajendra Acharya, S. Vinitha Sree, Guang Zeng, Luca Saba, Andrew Nicolaides, and Jasjit S. Suri
21. Segmentation of Carotid Ultrasound Images
Rui Rocha, Jorge Silva, and Aurélio Campilho
22. Imaging Occlusive Atherosclerosis
J. Fernandes e Fernandes, L. Mendes Pedro, R. Fernandes e Fernandes, and L. Silvestre
23. Imaging of Aortic Aneurysms: What Do We Need to Know and Which Techniques Should Be Chosen?
Nuno V. Dias and Timothy Resch
24. Molecular Imaging of Inflammation and Intraplaque Veovascularization
Gerrit L. ten Kate, Sitjn C.H. van den Oord, Eric J.G. Sijbrands, Antonius F.W. van der Steen, and Arend F.L. Schinkel
25. Carotid Angioplasty and Stenting
Sebastián Baldi, Luis García Nielsen, Tobias Zander, Rafael Feldman, and Manuel Maynar
26. New Approaches for Plaque Component Analysis in Intravascular Ultrasound (IVUS) Images
Arash Taki, Alireza Roodaki, Sara Avansari, Ali Bigdelou, Amin Katouzian, and Nassir Navab
27. Visualization of Atherosclerotic Coronary Plaque by Using Optical Coherence Tomography
Takashi Kubo and Takashi Akasaka
28. Image Fusion Technology
Gerd Brunner, Eric Y. Yang, Joel D. Morrisett, Zsolt Garami, and Vijay Nambi
29. Generalized Symptomatic vs. Asymptomatic Plaque Characterization and Classification in Carotid Ultrasound Images
U. Rajendra Acharya, Oliver Faust, S. Vinitha Sree, Filippo Molinari, Luca Saba, Andrew Nicolaides, and Jasjit S. Suri
... weniger
Bibliographische Angaben
- 2014, Repr. d. Ausg. v. 2013, XIX, 422 Seiten, 208 farbige Abbildungen, Masse: 21,5 x 28,5 cm, Gebunden, Englisch
- Herausgegeben: Luca Saba, João Miguel Sanches, Luís Mendes Pedro, Jasjit S. Suri
- Verlag: Springer, Berlin
- ISBN-10: 1461474248
- ISBN-13: 9781461474241
- Erscheinungsdatum: 13.09.2013
Sprache:
Englisch
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