Small animal imaging has been recognized as an important tool in preclinical research. Nevertheless, the results of non-invasive imaging are often disappointing owing to choice of a sub optimal imaging modality and/or shortcomings in study design, experimental setup, and data evaluation.

Small Animal Imaging – Basics and Practical Guide

This textbook is a practical guide to the use of non-invasive imaging in preclinical research. Each of the available imaging modalities is discussed in detail, with the assistance of numerous informative illustrations. In addition, many useful hints are provided on the installation of a small animal unit, study planning, animal handling, and the cost-effective performance of small animal imaging. Cross-calibration methods, data post processing, and special imaging applications are also considered in depth. This is the first book to cover all the practical basics in small animal imaging, and it will prove an invaluable aid for researchers, students, and technicians.

This text is a guide to implement small animal imaging in routine research. This book of significant value to a large series of readers, including both expert nuclear physicians and radiologists and residents involved in diagnostic imaging, for whom it can serve as a reference book in daily work or as cultural background. The publication may also be of great interest for all scientists working in basic and transnational research.

Thus, this book aims to be a guide for all who intend to implement small animal imaging in their routine research. It provides concrete hints on how an effective small animal unit can be built up, how the personnel should be trained, where pitfalls in study planning are and which imaging modalities should be used for different purposes. Also, basic problems like the choice of the correct anesthesia and its influence on animal physiology as well as techniques of catheterization for drug administration are considered. Finally this book specifically serves as a guide for the correct and comprehensive quantification and interpretation of imaging data.

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