Biomedical image analysis has become a major aspect of engineering
sciences, and radiology in particular has become a dominant player
in the field. Recent developments have made it possible to use
biomedical imaging to view the human body from an anatomical or
physiological perspective in a non-invasive fashion. Computer-aided
diagnosis consists of developing algorithms and intelligent
software components that can automatically process images and spot
potential irregularities in the health chain.
The aim of this book is to explain the process of biomedical
imaging, from image acquisition to automated diagnosis. This
process consists of three thematic areas. The first is dedicated to
the acquisition process and the underlying properties of images
from a physics-oriented perspective. The second part addresses the
dominant state-of-the-art methodologies behind content extraction
and interpretation of medical images. The third section presents an
application-based example, which develops solutions to address the
particular needs of various diagnoses.
This complete volume is an exceptional tool for radiologists,
research scientists, senior undergraduate and graduate students in
health sciences and engineering, and university professors. This
book offers a unique guide to the entire chain of biomedical
imaging, explaining how image formation is done, and how the most
appropriate algorithms are used to address demands and
diagnoses.
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