Correction Techniques in Emission Tomography

It is refreshing to have a text on emission molecular imaging relevant to animals and human beings with an emphasis on those factors that detract from resolution and quantification. This book implicitly distinguishes between molecular imaging of emitters and molecular imaging provided by magnetic resonance techniques such as magnetic resonance spectroscopy, magnetic resonance imaging of hyperpolarized and other contrast agents, and other magnetic resonance methods wherein the response to the injected pattern of the radiofrequency field is measured. … In sum, this book shows how researchers have overcome limitations in emission tomography noted 40 years ago and have brought the methods to the goal of high spatial resolution and quantification. Most importantly, these advances have enabled clinically useful applications not available to other diagnostic methods.
–From the Foreword by Thomas F. Budinger, University of California, Berkeley, USA

“This is a fairly comprehensive survey of current and future applications of emission tomography and associated reconstruction, correction, and image post-processing methods, with an emphasis on quantitative preclinical and clinical molecular imaging research (mostly PET). An advanced book, it is one written primarily from a computational science perspective. This book would benefit most those scientists with at least basic prior knowledge of the underlying physics and applications of, as well as a research interest in, PET, SPECT, and hybrid molecular imaging.”
–William D Erwin, MS, University of Texas MD Anderson Cancer Center, Houston, USA

Mohammad Dawood is a researcher at the European Institute for Molecular Imaging. He earned a PhD in computer science from the University of Münster. His research interests include motion correction and tumor segmentation in medical imaging as well as biometrics and pattern analysis in image analysis.

Xiaoyi Jiang is a professor at the University of Münster and a scientist at the European Institute for Molecular Imaging. An IEEE senior member and an IAPR fellow, he earned a PhD in computer science from the University of Bern. His research areas include medical imaging analysis, pattern recognition, and computer vision.

Klaus Schäfers is head of the technology group at the European Institute for Molecular Imaging. He earned a PhD in medical physics from the University of Münster. His research interests include quantitative PET, motion detection and correction, high-resolution PET, multimodal molecular imaging techniques, and molecular imaging information in radiation therapy planning.