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By Michael E. Phelps

This e-book is designed to offer the reader a high-quality knowing of the

physics and instrumentation points of puppy, together with how puppy information are accumulated and shaped into a picture. issues comprise easy physics, detector know-how utilized in sleek puppy scanners, facts acquisition, and 3D reconstruction. various smooth puppy imaging structures also are mentioned, together with these designed for medical providers and learn, in addition to small-animal imaging. tools for comparing the functionality of those structures also are defined. The e-book will curiosity nuclear medication scholars, nuclear drugs physicians, and technologists.

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In this situation, up to three possible LORs can intersect the field of view, only one of which will be correct. In some circumstances, it may be better to randomly select one of the possible LORs rather than completely discarding the event. Prompt coincidences The total number of events detected by the coincidence circuit in a PET scanner are referred to as prompt coincidences. These events consist of true, scattered, and accidental coincidences where the true coincidences are the only ones that carry spatial information regarding the distribution of the radiotracer.

If the PET detector can determine the Z or depth coordinate of the interaction, this resolution degradation would be removed. This is an active area of research and many possible approaches have been proposed. Two methods have emerged that promise a certain degree of success and are now finding their way into PET scanner design (Figure 17). 23,24 The scintillator materials are differentiated by their different decay times. The layer in which the interaction occurs can be simply determined by looking at the decay time of the pulses.

29%. This problem shows the dramatic increase in sensitivity at the center of the scanner for 3-D data acquisition compared with 2-D data acquisition. Data acquisition protocols The end point in most PET studies is to produce an image, from which diagnostic or quantitative parameters can be derived. These parameters can be as simple as a qualitative comparison of activity concentration in different tissue regions or more complex biologic parameters such as metabolic rate, receptor density, or levels of gene expression.

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