Model calculations for PET images

Robust analysis techniques can be applied to dynamic PET images, producing parametric images.

Common pixel-by-pixel analysis methods

Models for reversible tracer uptake

Outcome is the volume of distribution, binding potential, or a related parameter.

Without blood sampling

With metabolite corrected plasma input

Models for irreversible tracer uptake

Outcome is the Ki, FUR, k3, or a related parameter, representing metabolic rate, or enzyme or transporter activity.

Without blood sampling

With metabolite corrected plasma input

Perfusion (blood flow)

Without blood sampling

With arterial blood sampling

Miscellaneous utility software for image model calculation


See also:



References

Bentourkia M. A flexible image segmentation prior to parametric estimation. Comput Med Imaging Graph. 2001; 25: 501-506. doi: 10.1016/S0895-6111(01)00016-7.

Feng DD, Wen L, Eberl S. Techniques for parametric imaging. In: Feng DD (ed.): Biomedical Information Technology. Elsevier, 2008, pp 137-163. ISBN: 9780080550725. doi: 10.1016/B978-012373583-6.50010-4.

Herholz K. Non-stationary spatial filtering and accelerated curve fitting for parametric imaging with dynamic PET. Eur J Nucl Med. 1988; 14: 477-484. doi: 10.1007/BF00252392.

Zhou Y, Huang SC, Bergsneider M, Wong DF. Improved parametric image generation using spatial-temporal analysis of dynamic PET studies. Neuroimage 2002; 15(3): 697-707. doi: 10.1006/nimg.2001.1021.



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Created at: 2008-01-18
Updated at: 2016-09-21
Written by: Vesa Oikonen, Kaisa Liukko