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Image synthesis across and within medical imaging modalities is an
active area of research with broad applications in radiology and
radiation oncology. This book covers the principles and methods of
medical image synthesis, along with state-of-the-art research.
First, various traditional non-learning-based, traditional
machine-learning-based, and recent deep-learning-based medical
image synthesis methods are reviewed. Second, specific applications
of different inter- and intra-modality image synthesis tasks and of
synthetic image-aided segmentation and registration are introduced
and summarized, listing and highlighting the proposed methods,
study designs, and reported performances with the related clinical
applications of representative studies. Third, the clinical usages
of medical image synthesis, such as treatment planning and
image-guided adaptive radiotherapy, are discussed. Last, the
limitations and current challenges of various medical synthesis
applications are explored, along with future trends and potential
solutions to solve these difficulties. The benefits of medical
image synthesis have sparked growing interest in a number of
advanced clinical applications, such as magnetic resonance imaging
(MRI)-only radiation therapy treatment planning and positron
emission tomography (PET)/MRI scanning. This book will be a
comprehensive and exciting resource for undergraduates, graduates,
researchers, and practitioners.
Image synthesis across and within medical imaging modalities is an
active area of research with broad applications in radiology and
radiation oncology. This book covers the principles and methods of
medical image synthesis, along with state-of-the-art research.
First, various traditional non-learning-based, traditional
machine-learning-based, and recent deep-learning-based medical
image synthesis methods are reviewed. Second, specific applications
of different inter- and intra-modality image synthesis tasks and of
synthetic image-aided segmentation and registration are introduced
and summarized, listing and highlighting the proposed methods,
study designs, and reported performances with the related clinical
applications of representative studies. Third, the clinical usages
of medical image synthesis, such as treatment planning and
image-guided adaptive radiotherapy, are discussed. Last, the
limitations and current challenges of various medical synthesis
applications are explored, along with future trends and potential
solutions to solve these difficulties. The benefits of medical
image synthesis have sparked growing interest in a number of
advanced clinical applications, such as magnetic resonance imaging
(MRI)-only radiation therapy treatment planning and positron
emission tomography (PET)/MRI scanning. This book will be a
comprehensive and exciting resource for undergraduates, graduates,
researchers, and practitioners.
The oceans cover approximately 71% of Earth's surface, 90% of the
biosphere and contains 97% of Earth's water. Since the first launch
of SEASAT satellite in 1978, an increasing number of SAR satellites
have or will become available, such as the European Space Agency's
ERS-1/-2, ENVISAT, and Sentinel-1 series; the Canadian
RADARSAT-1/-2 and the upcoming RADARSAT Constellation Mission
series satellites; the Italian COSMO-SkyMed satellites, the German
TERRASAR-X and TANDEM-X, and the Chinese GAOFEN-3 SAR, among
others. Recently, European Space Agency has launched a new
generation of SAR satellites, Sentinel-1A in 2014 and Sentinel-1B
in 2016. These SAR satellites provide researchers with free and
open SAR images necessary to carry out their research on the global
oceans. The scope of Advances in SAR Remote Sensing of Oceans is to
demonstrate the types of information that can be obtained from SAR
images of the oceans, and the cutting-edge methods needed for
analysing SAR images. Written by leading experts in the field, and
divided into four sections, the book presents the basic principles
of radar backscattering from the ocean surface; introduces the
recent progresses in SAR remote sensing of dynamic coastal
environment and management; discusses the state-of-the-art methods
to monitor parameters or phenomena related to the dynamic ocean
environment; and deals specifically with new techniques and
findings of marine atmospheric boundary layer observations.
Advances in SAR Remote Sensing of Oceans is a very comprehensive
and up-to-date reference intended for use by graduate students,
researchers, practitioners, and R&D engineers working in the
vibrant field of oceans, interested to understand how SAR remote
sensing can support oceanography research and applications.
The oceans cover approximately 71% of Earth's surface, 90% of the
biosphere and contains 97% of Earth's water. Since the first launch
of SEASAT satellite in 1978, an increasing number of SAR satellites
have or will become available, such as the European Space Agency's
ERS-1/-2, ENVISAT, and Sentinel-1 series; the Canadian
RADARSAT-1/-2 and the upcoming RADARSAT Constellation Mission
series satellites; the Italian COSMO-SkyMed satellites, the German
TERRASAR-X and TANDEM-X, and the Chinese GAOFEN-3 SAR, among
others. Recently, European Space Agency has launched a new
generation of SAR satellites, Sentinel-1A in 2014 and Sentinel-1B
in 2016. These SAR satellites provide researchers with free and
open SAR images necessary to carry out their research on the global
oceans. The scope of Advances in SAR Remote Sensing of Oceans is to
demonstrate the types of information that can be obtained from SAR
images of the oceans, and the cutting-edge methods needed for
analysing SAR images. Written by leading experts in the field, and
divided into four sections, the book presents the basic principles
of radar backscattering from the ocean surface; introduces the
recent progresses in SAR remote sensing of dynamic coastal
environment and management; discusses the state-of-the-art methods
to monitor parameters or phenomena related to the dynamic ocean
environment; and deals specifically with new techniques and
findings of marine atmospheric boundary layer observations.
Advances in SAR Remote Sensing of Oceans is a very comprehensive
and up-to-date reference intended for use by graduate students,
researchers, practitioners, and R&D engineers working in the
vibrant field of oceans, interested to understand how SAR remote
sensing can support oceanography research and applications.
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