Abstract
The aim of this chapter is to investigate quantitation and data analysis issues, in the context of a SWOT analysis applied to hybrid brain imaging. In particular, the strengths (S), weaknesses (W), opportunities (O) and threats (T) of PET/MRI with respect to PET/CT are considered. Strengths are found in (a) the high soft tissue contrast typical of MR imaging, allowing an improvement in PET quantitation by using MRI to guide PET reconstruction, to guide correction for partial volume effect and to non-invasively generate accurate input functions and (b) the amount of information on brain functioning and brain disease which can be obtained by PET/MRI multimodal and multi-parametric imaging. Weaknesses are recognized in the complexity of MRI (with respect to CT), making attenuation correction of PET data difficult and requiring long acquisition times and complex workflows. Main opportunity is found in the possibility to combine multimodal and multi-parametric data with advanced image processing methods for the identification and quantitation of biomarkers. Finally, as for PET/MRI technology, threats are the high costs, niche markets and slow translation from research to clinical application.
Keywords
- Attenuation Correction
- Arterial Input Function
- Attenuation Correction Method
- Partial Volume Effect Correction
- High Soft Tissue Contrast
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Castiglioni, I., Gallivanone, F., Gilardi, M.C. (2016). Quantitation and Data Analysis in Hybrid PET/MRI Systems. In: Ciarmiello, A., Mansi, L. (eds) PET-CT and PET-MRI in Neurology. Springer, Cham. https://doi.org/10.1007/978-3-319-31614-7_3
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