2014
DOI: 10.2967/jnumed.113.129098
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Principles of PET/MR Imaging

Abstract: Hybrid PET/MR systems have rapidly progressed from the prototype stage to systems that are increasingly being used in the clinics. This review provides an overview of developments in hybrid PET/MR systems and summarizes the current state of the art in PET/MR instrumentation, correction techniques, and data analysis. The strong magnetic field requires considerable changes in the manner by which PET images are acquired and has led, among others, to the development of new PET detectors, such as silicon photomulti… Show more

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Cited by 75 publications
(64 citation statements)
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References 81 publications
(75 reference statements)
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“…PET/ MR imaging is a powerful technology that is now expanding worldwide (1); integrated PET/MR imaging systems are already commercially available for clinical applications (2,3). Special attention is thus being paid to the ability of simultaneous PET/MR imaging to provide quantitative information and artifact-free images.…”
mentioning
confidence: 99%
“…PET/ MR imaging is a powerful technology that is now expanding worldwide (1); integrated PET/MR imaging systems are already commercially available for clinical applications (2,3). Special attention is thus being paid to the ability of simultaneous PET/MR imaging to provide quantitative information and artifact-free images.…”
mentioning
confidence: 99%
“…Accurate MRI-guided attenuation correction in PET/MRI has been a major challenge since the introduction of this clinical hybrid imaging technology (Disselhorst et al, 2014). Since then, a number of strategies have been proposed to derive patient-specific attenuation maps either from MR images and PET emission data or co-registered MR/CT datasets.…”
Section: Discussionmentioning
confidence: 99%
“…Segmentation methods have the following main limits: 1) segmentation errors and consequently classification errors may occur; for example, fine structures such as nasal cavities and cerebrospinal fluid (CSF) are sometimes misclassified [7] and lack of identification of the air cavities may introduce overestimations in adjacent brain areas [16]. This may be due to errors occurring during the execution of the mathematical function underlying the segmentation process and errors are favoured by limits in the available MR sequences [17]).…”
Section: ) Segmentation-based Methodsmentioning
confidence: 99%
“…These methods may work well, especially for the distinction of brain parenchyma, but they are often less accurate in regions with high anatomical variability [7]. Moreover, because of the anatomic adaptation during the registration process, these methods produce patient specific attenuation correction maps [18].…”
Section: ) Methods Based On Atlas or Templatementioning
confidence: 99%
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