By Mohammad Dawood,Xiaoyi Jiang,Klaus Schäfers
Written via an interdisciplinary workforce of docs, machine scientists, physicists, engineers, and mathematicians, Correction recommendations in Emission Tomography offers a number of correction tools utilized in emission tomography to generate and increase photos. It discusses the options from a working laptop or computer technology, arithmetic, and physics viewpoint.
The publication offers a entire evaluate of correction thoughts at various degrees of the knowledge processing workflow. It covers nuclear drugs imaging, hybrid emission tomography (PET-CT, SPECT-CT, PET-MRI, PET-ultrasound), and optical imaging (fluorescence molecular tomography). It illustrates easy ideas in addition to contemporary advances, resembling model-based iterative algorithms and 4D tools. an immense point of the ebook is on new and complex movement correction ideas in puppy imaging. those strategies permit high-resolution, top of the range pictures, resulting in larger imaging research and image-based diagnostics.
Reflecting state of the art study, this quantity explores the diversity of difficulties that ensue in emission tomography. It appears to be like at how the ensuing pictures are affected and offers sensible reimbursement the right way to triumph over the issues and enhance the images.
Read Online or Download Correction Techniques in Emission Tomography (Series in Medical Physics and Biomedical Engineering) PDF
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Written via an interdisciplinary group of doctors, laptop scientists, physicists, engineers, and mathematicians, Correction innovations in Emission Tomography provides a variety of correction equipment utilized in emission tomography to generate and improve pictures. It discusses the suggestions from a working laptop or computer technology, arithmetic, and physics perspective.
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Extra resources for Correction Techniques in Emission Tomography (Series in Medical Physics and Biomedical Engineering)
Correction Techniques in Emission Tomography (Series in Medical Physics and Biomedical Engineering) by Mohammad Dawood,Xiaoyi Jiang,Klaus Schäfers