This book presents advances in biomedical imaging analysis and
processing techniques using time dependent medical image datasets for
computer aided diagnosis. The analysis of time-series images is one of
the most widely appearing problems in science, engineering, and
business. In recent years this problem has gained importance due to the
increasing availability of more sensitive sensors in science and
engineering and due to the wide-spread use of computers in corporations
which have increased the amount of time-series data collected by many
magnitudes. An important feature of this book is the exploration of
different approaches to handle and identify time dependent biomedical
images. Biomedical imaging analysis and processing techniques deal with
the interaction between all forms of radiation and biological molecules,
cells or tissues, to visualize small particles and opaque objects, and
to achieve the recognition of biomedical patterns. These are topics of
great importance to biomedical science, biology, and medicine.
Biomedical imaging analysis techniques can be applied in many different
areas to solve existing problems. The various requirements arising from
the process of resolving practical problems motivate and expedite the
development of biomedical imaging analysis. This is a major reason for
the fast growth of the discipline.