Image-derived input functions from dynamic ¹⁵O-water PET scans using penalised reconstruction.

ABSTRACT:

Background

Quantitative positron emission tomography (PET) scans of the brain typically require arterial blood sampling but this is complicated and logistically challenging. One solution to remove the need for arterial blood sampling is the use of image-derived input functions (IDIFs). Obtaining accurate IDIFs, however, has proved to be challenging, mainly due to the limited resolution of PET. Here, we employ penalised reconstruction alongside iterative thresholding methods and simple partial volume correction methods to produce IDIFs from a single PET scan, and subsequently, compare these to blood-sampled input curves (BSIFs) as ground truth. Retrospectively we used data from sixteen subjects with two dynamic ¹⁵O-labelled water PET scans and continuous arterial blood sa

SUBMITTER: Young P 

PROVIDER: S-EPMC9992469 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature