NMF on positron emission tomography |
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| Abstract | In positron emission tomography, kinetic modelling of brain
tracer uptake, metabolism or binding requires knowledge of
the cerebral input function. Traditionally, this is achieved
with arterial blood sampling in the arm or as shown in [1] by
non-invasive K-means clustering. We propose anothermethod
to estimate time-activity curves (TAC) extracted directly from
dynamic positron emission tomography (PET) scans by nonnegative
matrix factorization (NMF). Since the scaling of the
basis curves is lost in the NMF the estimated TAC is scaled
by a vector A which is calculated from the NMF solution.
The method is tested on a [18F]-Altanserin tracer ligand data
set consisting of 5 healthy subjects. The results from using K-means
clustering and NMF are compared to a sampled arterial
TAC. The comparison is done by calculating the correlation
with the arterial sampled TAC. |
| Keywords | NMF, Positron emission tomography, Brain |
| Type | Conference paper [With referee] |
| Conference | International conference on acoustics, speech and signal processing 2007, ICASSP. |
| Year | 2007 |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |