EMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [¹⁸F]FDG brain studies.

ABSTRACT:

Purpose

PET imaging is a pivotal tool for biomarker research aimed at personalized medicine. Leveraging the quantitative nature of PET requires knowledge of plasma radiotracer concentration. Typically, the arterial input function (AIF) is obtained through arterial cannulation, an invasive and technically demanding procedure. A less invasive alternative, especially for [¹⁸F]FDG, is the image-derived input function (IDIF), which, however, often requires correction for partial volume effect (PVE), usually performed via venous blood samples. The aim of this paper is to present EMATA: Extraction and Modeling of Arterial inputs for Tracer kinetic Analysis, an open-source MATLAB toolbox. EMATA automates IDIF extraction from [¹⁸F]FDG brain PET images and additionally

SUBMITTER: De Francisci M 

PROVIDER: S-EPMC11666860 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature