Misalignment correction for T1 maps using a maximum likelihood estimator approach
نویسندگان
چکیده
منابع مشابه
Lecture 22: Maximum Likelihood Estimator
In the first part of this lecture, we will deal with the consistency and asymptotic distribution of maximum likelihood estimator. The second part of the lecture focuses on signal estimation/tracking. An estimator is said to be consistent if it converges to the quantity being estimated. This section speaks about the consistency of MLE and conditions under which MLE is consistent.
متن کاملMaximum likelihood estimator for magneto-acoustic localisation
This paper is devoted to the localization of magnetoacoustic sources moving in a straight line at a constant speed. Our technique is based on the association of narrow band acoustic signals and magnetostatic measurements. First of all, we describe features that make possible the association of magnetic and acoustic data, secondly, we show that positioning accuracy is much improved by this assoc...
متن کاملModeling extended sources using a maximum likelihood estimator
For the study of functional organization and reorganization of the human cortex by means of electromagnetic source imaging, changes in the location and spatial extent of neural sources is of interest. We present a probabilistic approach based on the maximum likelihood (ML) theory for modeling extended sources using anatomical and physiological knowledge to reduce the ambiguity of the ill-posed ...
متن کاملImproving estimates of genetic maps: a maximum likelihood approach.
As a result of previous large, multipoint linkage studies there is a substantial amount of existing marker data. Due to the increased sample size, genetic maps estimated from these data could be more accurate than publicly available maps. However, current methods for map estimation are restricted to data sets containing pedigrees with a small number of individuals, or cannot make full use of ma...
متن کاملMaximum Likelihood Estimation of T1 Relaxation Parameters Using VARPRO
INTRODUCTION Accurate T1 relaxation time parameter estimation is essential for a wide variety of quantitative MR applications; for example, obtaining accurate T1 values can be crucial in problems such as quantitative contrast enhanced imaging studies, image segmentation and tissue characterization, and absolute metabolite quantification in NMR spectroscopy. Typical experiments designed specific...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Neuroinformatics
سال: 2013
ISSN: 1662-5196
DOI: 10.3389/conf.fninf.2013.10.00040