Pith. sign in

REVIEW

ABC in Nuclear Imaging

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1607.08678 v1 pith:E7FLZ6OU submitted 2016-07-29 stat.AP

Y. Fan , S. R. Meikle , G. Angelis , A. Sitek This is my paper · ORCID
classification stat.AP
keywords estimationimagingconsidermethodsalgorithmanalysisapplicationapproach
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We consider the application of approximate Bayesian Computation (ABC) in the context of medical imaging data. We consider the parameter estimation of compartmental models in PET imaging analysis, and provide a simple ABC algorithm for its estimation. We demonstrate the utility of the proposed estimation methods on a neurotransmitter response model, and compare our approach to existing methods.

Discussion (0). Continue with ORCID to comment.

Pith tools