Book description
A comprehensive reference of cutting-edge advanced techniques for
quantitative image processing and analysis
Medical diagnostics and intervention, and biomedical research rely
progressively on imaging techniques, namely, the ability to capture,
store, analyze, and display images at the organ, tissue, cellular, and
molecular level. These tasks are supported by increasingly powerful
computer methods to process and analyze images. This text serves as an
authoritative resource and self-study guide explaining sophisticated
techniques of quantitative image analysis, with a focus on biomedical
applications. It offers both theory and practical examples for
immediate application of the topics as well as for in-depth study.
Advanced Biomedical Image Analysis presents methods in the four major
areas of image processing: image enhancement and restoration, image
segmentation, image quantification and classification, and image
visualization. In each instance, the theory, mathematical foundation,
and basic description of an image processing operator is provided, as
well as a discussion of performance features, advantages, and
limitations. Key algorithms are provided in pseudo-code to help with
implementation, and biomedical examples are included in each chapter.
Image registration, storage, transport, and compression are also
covered, and there is a review of image analysis and visualization
software. The accompanying live DVD contains a selection of image
analysis software, and it provides most of the algorithms from the
book so readers can immediately put their new knowledge to use.
Members of the academic community involved in image-related research
as well as members of the professional R&D sector will rely on
this volume.
It is also well suited as a textbook for
graduate-level image processing classes in the computer science and
engineering fields.
MARK A. HAIDEKKER, PhD, is an associate professor
in the Faculty of Engineering at the University of Georgia. Dr.
Haidekker develops image analysis methods based on modern imaging
modalities, including computed tomography (CT), magnetic resonance
imaging (MRI), and optical imaging. Specific areas of his research
include the relationship between images of organs and their
biomechanical properties, the development and improvement of
laser-based imaging modalities, and the development of methods to
image microviscosity and micro-flow patterns with mechanosensitive
fluorescent molecular rotors.
