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[P‐117]: Improved imaged‐derived input function for study of human brain FDG‐PET
Author(s) -
Guo Hongbin,
Renaut Rosemary A.,
Chen Kewei
Publication year - 2005
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2005.06.190
Subject(s) - partial volume , positron emission tomography , blood volume , nuclear medicine , venous blood , biomedical engineering , medicine , computer science , cardiology
A reliable, semi-automated method for estimation of a minimally-invasive image-derived input function is validated for human [ 18 F]-fluoro deoxyglucose (FDG) positron emission tomography (PET) studies. Two time windows can be recognized in the time activity curve measured from a carotid artery region of interest (CA-ROI). During the first short window of very rapid change, the dominant contamination of the measured activity on the CA-ROI is due to partial volume effects. After this the measured activity is also contaminated by spillover of tracer from tissue to blood. Blood samples acquired at later times, free of both partial volume and spillover effects, avoid the contamination and are used to fit a functional form for the input. Appropriateness of this parameter dependent input is validated using data from 18 healthy subjects and contrasted against measured arterial blood samples, and with previously proposed representations [1]–[3]. Parameters defining the input function and micro parameters of each tissue cluster, (their rate constants K1, k2 and k3), [4], are estimated simultaneously using the compartmental model for FDG PET [5].