This compendium is designed to provide a comprehensive overview of currently available biological and preclinical imaging methods, including their benefits and limitations. Volume 2 covers in-vivo imaging techniques, correlative multimodal imaging and emerging imaging technologies.
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Carmel J Caruana is Professor and Head of the Department of Medical Physics of the Faculty of Health Sciences at the University of Malta where he lectures in x-ray imaging, fluoroscopy, magnetic resonance imaging, computed tomography, ultrasound and nuclear medicine imaging including PET/CT and PET/MRI. Carmel has over 30 years experience in the teaching of all imaging modalities to all healthcare professions and at all levels including the specialty level. He is very much involved in curriculum development for Medical Physicists at the European and international levels and was previously the Chair of the Education and Training Committee of the European Federation of Organisations for Medical Physics. In the last few years he is encouraging Medical Physicists to expand their scope of practice to pre-clinical and biological imaging.
Andreas Walter is Director of Austrian BioImaging/CMI (www.bioimaging-austria.at). His goal is to advance correlated multimodality imaging (CMI) as a valuable tool in biomedical research. He is also the main proposer and Chair of the EU-funded COST Action COMULIS (CA17121) that aims at promoting the benefits of CMI through showcase pipelines and paving the way for its technological advancement and implementation as a versatile tool in biological and preclinical research (www.comulis.eu).
Julia Mannheim is a group leader for PET and Multimodal Imaging Science in the Department of Preclinical Imaging and Radiopharmacy at the Eberhard Karls University Tübingen, Germany, alongside being the Deputy Director of the Department since November 2014. She is an expert in PET quantification and reproducibility/reliability of the acquired data. Her focus is currently on the standardization of preclinical imaging to enhance the scientific integrity and reliability of the acquired data.
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