Multi-modality atherosclerosis imaging and diagnosis /

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Bibliographic Details
Imprint:New York : Springer, [2013?]
©2014
Description:1 online resource (xix, 422 pages) : illustrations (some color)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11080591
Hidden Bibliographic Details
Other authors / contributors:Saba, Luca, editor.
ISBN:9781461474258
1461474256
9781461474241
1461474248
9781461474241
Notes:Online resource; title from PDF title page (SpringerLink, viewed September 16, 2013).
Summary: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.
Standard no.:10.1007/978-1-4614-7425-8

MARC

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245 0 0 |a Multi-modality atherosclerosis imaging and diagnosis /  |c Luca Saba, João Miguel Sanches, Luís Mendes Pedro, Jasjit S. Suri, editors. 
264 1 |a New York :  |b Springer,  |c [2013?] 
264 4 |c ©2014 
300 |a 1 online resource (xix, 422 pages) :  |b illustrations (some color) 
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505 0 0 |t Introduction: Anatomy and Imaging --  |t Imaging Occlusive Atherosclerosis /  |r J. Fernandes e Fernandes, L. Mendes Pedro, R. Fernandes e Fernandes, L. Silvestre --  |t Histopathology of Atherosclerosis Progression: What Imagers Need to Know /  |r Masataka Nakano, Elena Ladich, Renu Virmani --  |t Clinical MRA of the Carotid Arteries /  |r Michele Anzidei, Beatrice Cavallo Marincola, Fabrizio Boni, Carlo Catalano --  |t Quantitative MR Analysis for the Assessment of Carotid Atherosclerosis /  |r Andreas Schindler, Tobias Saam --  |t Contrast Agents in Carotid Angiography with Magnetic Resonance /  |r Michele Anzidei, Chiara Zini, Vincenzo Noce, Carlo Catalano --  |t Quantitative Magnetic Resonance Analysis in the Assessment of Cardiac Diseases /  |r Erica Maffei, Giancarlo Messalli, Cesare Mantini, Teresa Arcadi, Chiara Martini [and 2 others] --  |t Atherosclerosis Plaque Stress Analysis: A Review /  |r Hao Gao, Quan Long --  |t Carotid Plaque Stress Analysis: Issues on Patient-Specific Modeling /  |r Hao Gao, Quan Long --  |t Magnetic Resonance Imaging of Vulnerable Carotid Plaques /  |r Rohitashwa Sinha, Karol P. Budohoski, Victoria E. L. Young, Rikin A. Trivedi --  |t CT Atherosclerosis Imaging --  |t Clinical CT Imaging of Carotid Arteries /  |r Chandra dev Sahu, Max Wintermark --  |t Quantitative CT Imaging of Carotid Arteries /  |r Max J. van Gils, K. Hameeteman, M. van Straten, W. J. Niessen, Aad van der Lugt --  |t Quantitative Computed Tomography Analysis in the Assessment of Coronary Artery Disease /  |r Erica Maffei, Giancarlo Messalli, Cesare Mantini, Teresa Arcadi, Chiara Martini [and 2 others] --  |t Ultrasound Atherosclerosis Imaging --  |t A Gamma Mixture Model for IVUS Imaging /  |r G. Vegas-Sánchez-Ferrero, M. Martín-Fernández, J. Miguel Sanches --  |t Ultrasound Profile of Carotid Plaque: A New Approach Towards Stroke Prediction /  |r José Seabra, L. M. Pedro, J. Fernandes e Fernandes, J. Miguel Sanches --  |t Ultrasonographic Quantification of Carotid Stenosis: A Reappraisal Using a New Gold Standard /  |r Luís Mendes Pedro, Ruy Fernandes e Fernandes, Luís M. Silvestre and Fernandes e Fernandes --  |t Histologic and Biochemical Composition of Carotid Plaque and Its Impact on Ultrasonographic Appearance /  |r Isabel Gonçalves --  |t Automated Carotid IMT Measurement and Its Validation in Low Contrast Ultrasound Database of 885 Patient Indian Population Epidemiological Study: Results of AtheroEdge® Software /  |r Filippo Molinari, Kristen M. Meiburger, Luca Saba [and 7 others] -- 
505 8 0 |t Carotid Artery Recognition System(CARS): A Comparison of Three Automated Paradigms for Ultrasound Images /  |r Filippo Molinari, Kristen Mariko Meiburger, U. Rajendra Acharya, William Liboni [and 2 others] --  |t Atherosclerotic Carotid Plaque Segmentation in Ultrasound Imaging of the Carotid Artery /  |r Christos P. Loizou, Marios Pantzaris --  |t Relationship Between Plaque Echogenicity and Atherosclerosis Biomarkers /  |r John D. Kakisis, Efthimios Avgerinos, Nikolaos Kadoglou, George Sfyroeras [and 2 others] --  |t Hypothesis Validation of Far Wall Brightness in Carotid Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level Set Segmentation and Registration /  |r Filippo Molinari, U. Rajendra Acharya, Luca Saba, Andrew Nicolaides, Jasjit S. Suri --  |t Segmentation of Carotid Ultrasound Images /  |r Rui Rocha, Jorge Silva, Aurélio Campilho --  |t Nuclear Medicine, Molecular Imaging and Therapy --  |t Imaging of Aortic Aneurysms:What Do We Need to Know and Which Techniques Should Be Chosen? /  |r Nuno V. Dias, Timothy Resch --  |t Molecular Imaging of Inflammation and Intraplaque Vasa Vasorum /  |r Gerrit L. ten Kate, Stijn C. H. van den Oord, Eric J. G. Sijbrands [and 2 others] --  |t Carotid Angioplasty and Stenting /  |r Sebastián Baldi, Luis García Nielsen, Tobias Zander, Rafael Feldman, Manuel Maynar --  |t New Approaches for Plaque Component Analysis in Intravascular Ultrasound (IVUS) Images /  |r Arash Taki, Alireza Roodaki, Sara Avansari, Ali Bigdelou, Amin Katouzian, Nassir Navab --  |t Visualization of Atherosclerotic Coronary Plaque by Using Optical Coherence Tomography /  |r Takashi Kubo, Takashi Akasaka --  |t Image Fusion Technology /  |r Gerd Brunner, Eric Y. Yang, Joel D. Morrisett, Zsolt Garami, Vijay Nambi --  |t Symptomatic Versus Asymptomatique Plaque Classification in Carotid Ultrasound /  |r U. Rajendra Acharya, Oliver Faust, S. Vinitha Sree, Filippo Molinari, Luca Saba [and 2 others]. 
520 |a 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. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed September 16, 2013). 
650 0 |a Atherosclerosis  |x Imaging. 
650 0 |a Atherosclerosis  |x Diagnosis. 
650 2 |a Arteriosclerosis. 
650 2 |a Diagnostic Imaging. 
650 1 4 |a Medicine & Public Health. 
650 2 4 |a Imaging  |x Radiology. 
650 2 4 |a Cardiology. 
650 2 4 |a Image Processing and Computer Vision. 
650 7 |a HEALTH & FITNESS  |x Diseases  |x General.  |2 bisacsh 
650 7 |a MEDICAL  |x Clinical Medicine.  |2 bisacsh 
650 7 |a MEDICAL  |x Diseases.  |2 bisacsh 
650 7 |a MEDICAL  |x Evidence-Based Medicine.  |2 bisacsh 
650 7 |a MEDICAL  |x Internal Medicine.  |2 bisacsh 
650 7 |a Médecine.  |2 eclas 
655 4 |a Electronic books. 
655 0 |a Electronic books. 
650 7 |a Atherosclerosis  |x Diagnosis.  |2 fast  |0 http://id.worldcat.org/fast/fst00820008 
700 1 |a Saba, Luca,  |e editor.  |0 http://id.loc.gov/authorities/names/n2012190284  |1 http://viaf.org/viaf/294810946 
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