Overview

Written by an interdisciplinary team of medical doctors, computer scientists, physicists, engineers, and mathematicians, Correction Techniques in Emission Tomography presents various correction methods used in emission tomography to generate and enhance images. It discusses the techniques from a computer science, mathematics, and physics viewpoint. The book gives a comprehensive overview of correction techniques at different levels of the data processing workflow. It covers nuclear medicine imaging, hybrid emission tomography (PET-CT, SPECT-CT, PET-MRI, PET-ultrasound), and optical imaging (fluorescence molecular tomography). It illustrates basic principles as well as recent advances, such as model-based iterative algorithms and 4D methods. An important aspect of the book is on new and sophisticated motion correction techniques in PET imaging. These techniques enable high-resolution, high-quality images, leading to better imaging analysis and image-based diagnostics. Reflecting state-of-the-art research, this volume explores the range of problems that occur in emission tomography. It looks at how the resulting images are affected and presents practical compensation methods to overcome the problems and improve the images.

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9781439812983

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Reviews

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

Author Information

Mohammad Dawood is a researcher at the European Institute for Molecular Imaging. He earned a PhD in computer science from the University of Munster. 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 Munster 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 Schafers is head of the technology group at the European Institute for Molecular Imaging. He earned a PhD in medical physics from the University of Munster. 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.

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