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Qifa Zhou - Multimodality Imaging: For Intravascular Application

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Qifa Zhou Multimodality Imaging: For Intravascular Application

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This book provides a state-of-the-art overview of the combined use of imaging modalities to obtain important functional and morphological information on intravascular disease and enhance disease detection. It discusses the integration of intravascular ultrasound (IVUS, intravascular optical coherence tomography (OCT), intravascular photoacoustic imaging (IVPA) and acoustic radiation force optical coherence elastography (ARF-OCE), and introduces the integration of multimodality imaging systems, such as IR and florescence. It includes the latest research advances and numerous imaging photos to offer readers insights into current intravascular applications. It is a valuable resource for students, scientists and physicians wanting to gain a deeper understanding of multimodality imaging tools.

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Editors Qifa Zhou and Zhongping Chen Multimodality Imaging For - photo 1
Editors
Qifa Zhou and Zhongping Chen
Multimodality Imaging
For Intravascular Application
Editors Qifa Zhou Department of Ophthalmology and Biomedical Engineering - photo 2
Editors
Qifa Zhou
Department of Ophthalmology and Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
Zhongping Chen
Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
ISBN 978-981-10-6306-0 e-ISBN 978-981-10-6307-7
https://doi.org/10.1007/978-981-10-6307-7
Springer Nature Singapore Pte Ltd. 2020
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd.

The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Preface

Atherosclerosis is a progressive disease that is characterized by the accumulation of lipids, cholesterol, fibrous constituents, monocytes, and various other inflammatory cells in the arterial wall. Atherosclerosis is one of the major causes of morbidity and mortality in developed countries. Mortality from heart attack (86%) is mainly due to vulnerable plaques which rupture suddenly and trigger a blood clot or thrombus that blocks blood flow. Early detection of plaque lesions is the first and necessary step in preventing the lethal consequences of atherosclerosis. Diagnosis of the latent vulnerability of a plaque lesion relies on both tissue structural and chemical compositions. Multimodality intravascular imaging that can provide both structural and molecular information will provide clinicians with a critically important tool for diagnosing vulnerable plaques, monitoring the progression of disease, and evaluating the efficacy of intervention.

We have selected the top experts in the field as chapter authors, many of whom have worked continuously on multimodality intravascular imaging since their Ph.D. work. Therefore, this book will cover recent research progress on integrated multimodal intravascular imaging systems which combine intravascular ultrasound (IVUS), optical coherence tomography (OCT), intravascular photoacoustic imaging (IVPA), fluorescence life imaging (both system and contrast), and therapeutic IVUS.

In this book, we will first introduce the multimodality intravascular imaging (Chap. , respectively.

We greatly appreciate all the authors and laboratory members who gave their time and contributed significant research work for this compilation. Without their help, this book would not have reached fruition. We also wish to acknowledge the work of Dr. Ruimin Chen who contributed the editorial help for this book. We hope that this book will help biomedical engineers as well as clinicians.

Qifa Zhou
Zhongping Chen
Los Angeles, USA Irvine, USA
Contents
Zhongping Chen and Qifa Zhou
Teng Ma and Qifa Zhou
Jiawen Li , Teng Ma , Qifa Zhou and Zhongping Chen
Jie Hui and Ji-Xin Cheng
Jianguo Ma and Xiaoning Jiang
Jennifer E. Phipps , Julien Bec and Laura Marcu
Yan Li and Zhongping Chen
Yan Li and Zhongping Chen
Yueqiao Qu , Youmin He , Teng Ma , Qifa Zhou and Zhongping Chen
John A. Hossack
Weibao Qiu and Hairong Zheng
Contributors
Julien Bec
Department of Biomedical Engineering, University of California, Davis, Davis, CA, USA
Zhongping Chen
Department of Biomedical Engineering, Beckman Laser Institute, University of California, Irvine, Irvine, CA, USA
Ji-Xin Cheng
Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Photonics Center, Boston University, Boston, MA, USA
Youmin He
Department of Biomedical Engineering, Beckman Laser Institute, University of California, Irvine, Irvine, CA, USA
John A. Hossack
Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
Jie Hui
Department of Electrical and Computer Engineering, Photonics Center, Boston University, Boston, MA, USA
Xiaoning Jiang
Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA
Jiawen Li
Adelaide Medical School, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, Australia
Yan Li
Department of Biomedical Engineering, Beckman Laser Institute, University of California, Irvine, Irvine, CA, USA
Jianguo Ma
School of Instrumentation and Optoelectronic Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China
Teng Ma
Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Laura Marcu
Department of Biomedical Engineering, University of California, Davis, Davis, CA, USA
Jennifer E. Phipps
Department of Biomedical Engineering, University of California, Davis, Davis, CA, USA
Weibao Qiu
Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Yueqiao Qu
Department of Biomedical Engineering, Beckman Laser Institute, University of California, Irvine, Irvine, CA, USA
Hairong Zheng
Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Qifa Zhou
Department of Biomedical Engineering, Roski Eye Institute, University of Southern California, Los Angeles, CA, USA
Springer Nature Singapore Pte Ltd. 2020
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