This volume collects the lectures presented at the ninth ESI School held at Archamps (FR) in November 2006 and is dedicated to nuclear physics applications in molecular imaging. The lectures focus on the multiple facets of image reconstruction processing and management and illustrate the role of digital imaging in clinical practice. Medical computing and image reconstruction are introduced by analysing the underlying physics principles and their implementation, relevant quality aspects, clinical performance and recent advancements in the field. Several stages of the imaging process are specifically addressed, e.g. optimisation of data acquisition and storage, distributed computing, physiology and detector modelling, computer algorithms for image reconstruction and measurement in tomography applications, for both clinical and biomedical research applications. All topics are presented with didactical language and style, making this book an appropriate reference for students and professionals seeking a comprehensive introduction to the field as well as a reliable outlook on the most recent developments.
Preface. List of participants. Photographs. Clinical PET and PET-CT; S. Albrecht.- Digital X-ray imaging; D.R. Dance.- Physical simulation software foundations, methodology and functionality; S. Giani.- Electromagnetic interactions of particles with matter; M. Maire.- The GEANT 4 toolkit and applications; J. Apostolakis. An overview of some mathematical methods for medical imaging; M. Defrise.- Exercises in PET image reconstruction; O. Nix.- Simulation of detectors for biomedical imaging; P. Russo.- Computer Aided Detection (CAD) for mammography and the use of GRID in medicine; A. Lauria.- A short introduction to computer networks; U. Fuchs.- PET pharmacokinetic modelling; I. Mueller-Schauenburg.- Pharmacokinetics application in biophysics experiments; Ph. Millet.- The DICOM standard: a brief overview; B. Gibaud.- PACS: concepts and trends; D. Bandon.- Biomedical multimodality imaging for clinical and research applications: principles, techniques and validation; L. Bidaut.- Appendix 1
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