Despeckling Methods for Medical Ultrasound Images

1. Auflage 2020
ISBN: 978-981-15-0515-7
Verlag: Springer Nature Singapore

Buch, Englisch, 142 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 412 g

Zielgruppe

Research

Autoren/Hrsg.

Cheng, Yun

Zhang, Ju

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Bildgebende Verfahren, Nuklearmedizin, Strahlentherapie Radiologie, Bildgebende Verfahren
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Bildgebende Verfahren, Nuklearmedizin, Strahlentherapie Sonographie, Ultraschall
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung

Inhaltsverzeichnis

Introductions.- Despeckle Filters for Medical Ultrasound Images.- Wavelet and Fast Bilateral Filter Based Despeckling Method for Medical Ultrasound Images.- Despeckle Filtering of Medical Ultrasonic Images Using Wavelet and Guided Filter.- Despeckling Method for Medical Images Based on Wavelet and Trilateral Filter.- Nonsubsampled Shearlet and Guided Filter Based Despeckling Method for Medical Ultrasound Images.

Über Autor(innen)

Dr. Ju Zhang obtained his B.S. degree in Mechanical Engineering from Zhejiang University of Technology in 1994, and his Ph.D. degree in Automatic Control Engineering from Zhejiang University in 2005. From 2005 to 2006, he was a visiting scholar at Stuttgart University, Germany. From 2007 to 2010, he was an Associate Professor, and since 2011, he has been a Professor, at the College of Information Engineering, Zhejiang University of Technology. From 2014 to 2015, he was a visiting scholar at Michigan State University, USA. His research interests are chiefly in the areas of medical image signal processing and control, and model predictive control. He has published research work in the Journal of Franklin Institute, International Journal of Control, Ultrasonics, International Journal of Automation Control and System, Asian Journal of Control, Circuits System Signal Process and Biomedical Signal and Control. 
Dr. Yun Cheng is an Associate Professor at theDepartment of Ultrasound and the Associate Director of Research and Education Administration at Zhejiang Hospital. From 2012 to 2013, she worked as a visiting researcher at Echo Lab of SUNY Upstate Medical University, Syracuse, USA, where she conducted research on new technologies for echocardiography. Her academic positions include serving as a Committee Member, Echo Branch, Zhejiang Province Medical Association, and as a Committee Member of the Zhejiang Province Precision Medicine Association. For the past several years, her main focus has been on the clinical application of echocardiography and denoising processing for ultrasound images.