Short-time-window Patlak imaging using a population-based arterial input function and optimized Bayesian penalized likelihood reconstruction: a feasibility study

Short-time-window Patlak imaging using a population-based arterial input function and optimized Bayesian penalized likelihood reconstruction: a feasibility study

Abstract Background To explore the feasibility of short-time-window Ki imaging using a population-based arterial input function (IF) and optimized Bayesian penalized likelihood (BPL) reconstruction as a practical alternative to long-time-window Ki imaging with an individual patient-based IF. Myocard...

Full description

Bibliographic Details
Main Authors: Takato Tanaka, Masatoyo Nakajo, Hirofumi Kawakami, Eriko Motomura, Tomofumi Fujisaka, Satoko Ojima, Yasumasa Saigo, Takashi Yoshiura
Format: Article
Language:English
Published: SpringerOpen 2022-09-01
Series:EJNMMI Research
Subjects:
Dynamic 18F-FDG-PET/CT
Patlak Ki image
Population-based input function
Individual patient-based input function
Bayesian penalized likelihood reconstruction
Online Access:https://doi.org/10.1186/s13550-022-00933-8

Internet

https://doi.org/10.1186/s13550-022-00933-8

Similar Items