ICTMI 2017

Proceedings of the International Conference on Translational Medicine and Imaging
1. Auflage 2019
ISBN: 978-981-13-1476-6
Verlag: Springer Nature Singapore

Buch, Englisch, 224 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 518 g

This book highlights the latest research presented at the International Conference on Translational Medicine and Imaging (ICTMI) 2017. This event brought together the world’s leading scientists, engineers and clinicians from a wide range of disciplines in the field of medical imaging. Bioimaging has continued to evolve across a wide spectrum of applications from diagnostics and personalized therapy to the mechanistic understanding of biological processes, and as a result there is ever-increasing demand for more robust methods and their integration with clinical and molecular data. This book presents a number of these methods.

Zielgruppe

Research

Autoren/Hrsg.

Gulyás, Balázs

Padmanabhan, Parasuraman

Kumar, Sundramurthy

Fred, A. Lenin

Kumar, T. R. Santhosh

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Molekulare Medizin, Zellbiologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Onkologie, Krebsforschung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Materialwissenschaft: Biomaterialien, Nanomaterialien, Kohlenstoff
• Naturwissenschaften Physik Angewandte Physik Medizinische Physik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

1.Brain tumor detection and classification of MRI brain images using morphological operations.- 2. Nir Reflectance Imaging of Biological Tissue Using Multiple Sources and Detectors.- 3. Feature Extraction Based Hyperspectral Unmixing.- 4.An Automated Framework for Prediction of Falls in Cardiomyopathy People.- 5.Synthesis, Characterization and MRI Properties of Cysteamine Stabilized Cadmium Zinc Selenide (Cd(Zn)Se) Quantum Dots for Cancer Imaging.- 6. Measures of Diffusion Tensor Tractography of regions associated with Default Mode Network in Alzheimer’s Disease.

Über Autor(innen)

Professor Balázs Gulyás is a Professor of Translational Neuroscience at the Lee Kong Chian School of Medicine, Nanyang Technological University (NTU). Prior to this appointment, Prof Gulyás spent most of his scientific career at the world-renowned Karolinska Institutet, Stockholm, Sweden. After obtaining his MD degree at Semmelweis University, Budapest, Hungary, in 1981, he completed his PhD in neuroscience at the Catholic University of Leuven, Belgium, in 1988, followed by postdoctoral studies at the Department of Clinical Neurophysiology, Karolinska Institutet in Stockholm and at the Department of Experimental Psychology at the University of Oxford, UK. Prof Gulyás has published numerous books, written over 35 book chapters and contributed to over 180 research papers in peer-reviewed scientific journals. He is a member of Academia Europaea (The Academy of Europe), the Hungarian Academy of Sciences, and the Royal Belgian Academy of Medical Sciences.

Dr. Parasuraman Padmanabhan is the Deputy Director at the Lee Kong Chian School of Medicine at NTU. He has more than twenty-two years of research and teaching experience at leading universities, such as Cornell, Stanford University, and A*STAR. He has been working for more than a decade in the field of multimodal molecular imaging to understand the pathophysiology of several disease progressions. His research interests are in the areas of neurodegenerative disease and nanotheranostics. He is also the Series Editor for the book series SpringerBriefs in Nanotheranostics.

Dr. A. Lenin Fred has been the Principal of Mar Ephraem College of Engineering & Technology since 2010. He received his BE and ME degrees in Computer Science and Engineering from Madurai Kamarajar University, and his doctoral degree in Computer Science & Engineering, specializing in Digital Image Processing from Manonmaniam Sundaranar University, Tirunelveli, India. He has conducted extensive research in the areas of biometrics, multimodalbiometrics and medical image processing. He is the founder of the Department of Information Technology, CSI Institute of Technology, India, which he headed from 2001 to 2009.  Dr. T. R. Santhosh Kumar is a cancer research scientist working at the Rajiv Gandhi Centre for Biotechnology (RGCB) with expertise in cellular assay development, high-throughput screening, FRET probe development, and FRET imaging for in vitro and real-time in vivo imaging of tumor growth and metastasis. His work also focuses on understanding the cancer drug resistance mechanism and development of interventional approaches to bypass chemoresistance. He has developed several image-based screening tools to identify compounds that act on cancer-specific targets such as angiogenesis, invasion, tumor stem cells, hypoxia, redox, and direct caspase activators. Some of these assays are currently being used for preliminary drug screening applications in both academia and industry. Several optical imaging pre-clinical models he developed are also currently used for anticancer drug screening.  Dr. Sundramurthy Kumar completed his Ph.D. at the Anna University, Guindy Campus, Chennai, India in 1998. He is currently working at the Lee Kong Chian School of Medicine (LKC), Nanyang Technological University (NTU), Singapore as a Project Manager, Translational Neuroscience, working with the Scientific Director, Neuroscience and Mental Health to build and maintain the Human Brain Imaging platforms at the LKC, NTU. In Singapore he has pursued his postdoctoral studies at various research institutes and universities, including the Institute of Molecular Agrobiology (IMA), Institute of Molecular Cell Biology (IMCB) (A*STAR), and the School of Biological Sciences (SBS), Nanyang Technological University (NTU).