An input function estimation method for dynamic mouse 18F-FDG microPET studies

2011 ◽  
Author(s):  
Xiaoqian Dai ◽  
Jie Tian ◽  
Zhe Chen
Keyword(s):  
Estimation Method ◽  
Input Function ◽  
Function Estimation

scholarly journals An input function estimation method for FDG-PET human brain studies

2007 ◽  
Vol 34 (5) ◽  
pp. 483-492 ◽  
Author(s):  
Hongbin Guo ◽  
Rosemary A. Renaut ◽  
Kewei Chen
Keyword(s):  
Human Brain ◽  
Fdg Pet ◽  
Estimation Method ◽  
Input Function ◽  
Function Estimation

The Cumulant Generating Function Estimation Method

1997 ◽  
Vol 13 (2) ◽  
pp. 170-184 ◽  
Author(s):  
John L. Knight ◽  
Stephen E. Satchell
Keyword(s):  
Characteristic Function ◽  
Density Function ◽  
Generating Function ◽  
Estimation Method ◽  
Empirical Characteristic Function ◽  
Function Estimation ◽  
Asymptotic Equivalence ◽  
Cumulant Generating Function ◽  
Worked Example ◽  
Step Procedure

This paper deals with the use of the empirical cumulant generating function to consistently estimate the parameters of a distribution from data that are independent and identically distributed (i.i.d.). The technique is particularly suited to situations where the density function is unknown or unbounded in parameter space. We prove asymptotic equivalence of our technique to that of the empirical characteristic function and outline a six-step procedure for its implementation. Extensions of the approach to non-i.i.d. situations are considered along with a discussion of suitable applications and a worked example.

scholarly journals Multiple reference tissue method for contrast agent arterial input function estimation

2007 ◽  
Vol 58 (6) ◽  
pp. 1266-1275 ◽  
Author(s):  
Cheng Yang ◽  
Gregory S. Karczmar ◽  
Milica Medved ◽  
Walter M. Stadler
Keyword(s):  
Contrast Agent ◽  
Arterial Input Function ◽  
Input Function ◽  
Function Estimation ◽  
Reference Tissue ◽  
Multiple Reference

An open tool for input function estimation and quantification of dynamic PET FDG brain scans

2015 ◽  
Vol 11 (8) ◽  
pp. 1419-1430 ◽  
Author(s):  
Martín Bertrán ◽  
Natalia Martínez ◽  
Guillermo Carbajal ◽  
Alicia Fernández ◽  
Álvaro Gómez
Keyword(s):  
Input Function ◽  
Dynamic Pet ◽  
Function Estimation ◽  
Brain Scans

Development of sinogram-based estimation method of delay time of arterial input function with O-15 tracer and PET study

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S674-S674
Author(s):  
Hiroshi Watabe ◽  
Nobuyuki Kudomi ◽  
Takuya Hayashi ◽  
Hidehiro Iida
Keyword(s):  
Delay Time ◽  
Arterial Input Function ◽  
Estimation Method ◽  
Input Function ◽  
O 15

Fully Nonparametric Regression Estimation Based on Empirical Mode Decomposition

2012 ◽  
Vol 271-272 ◽  
pp. 932-935
Author(s):  
Hong Ying Hu ◽  
Wen Long Li ◽  
Feng Qiang Zhao
Keyword(s):  
Empirical Mode Decomposition ◽  
Wavelet Decomposition ◽  
Estimation Method ◽  
Regression Function ◽  
Regression Estimation ◽  
Function Estimation ◽  
Wavelet Regression ◽  
Nonparametric Regression Estimation ◽  
Mode Decomposition ◽  
Non Stationary Signal

Empirical Mode Decomposition (EMD) is a non-stationary signal processing method developed recently. It has been applied in many engineering fields. EMD has many similarities with wavelet decomposition. But EMD Decomposition has its own characteristics, especially in accurate trend extracting. Therefore the paper firstly proposes an algorithm of extracting slow-varying trend based on EMD. Then, according to wavelet regression estimation method, a new regression function estimation method based on EMD is presented. The simulation proves the advantages of the approach with easy computation and more accurate result.

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