In recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging.
The idea of this book originates from a series of lectures on “Detectors
Application in Medicine and Biology” that I was asked to give as part of
the Academic Training Program at CERN in 1995. In preparing the
series of lectures, I realized that I would be talking about detector
properties and the medical applications of these detectors to the scientists
and engineers who were their inventors.
Image registration is an emerging topic in image processing with many applications
in medical imaging, picture and movie processing. The classical problem of image
registration is concerned with finding an appropriate transformation between two
data sets. This fuzzy definition of registration requires a mathematical modeling and
in particular a mathematical specification of the terms appropriate transformations
and correlation between data sets. Depending on the type of application, typically
Euler, rigid, plastic, elastic deformations are considered.