Formation of 12Mapping using mixed-effects model

Hsuan Ming Huang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Using ultrashort echo time (UTE) magnetic resonance imaging (MR1), T2 can be measured and used to evaluate cartilage degradation. In general, high-quality MRI is required for accurate T2 measurement. However, such high-quality MRI requires long scan times which make the clinical utility of T2 measurement infeasible. Thus, a method that can produce satisfactory T2 maps within reasonable scan times (i.e. limited data) is required. Non-linear mixed-effects model (NLME) is a powerful tool for analyzing incomplete longitudinal data. Since NLME contains both fixed and random effects, it is preferred over more traditional methods. The aim of this study is to investigate whether T2 map can be generated using INLME. The simulation results show that NLME is a feasible method for T2 measurement. Moreover, NLME can improve the accuracy and precision of parameter estimates compared to the traditional non-linear least square fit.

Original languageEnglish
Title of host publication2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509016426
DOIs
StatePublished - 16 10 2017
Event2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 - Strasbourg, France
Duration: 29 10 201606 11 2016

Publication series

Name2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Volume2017-January

Conference

Conference2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Country/TerritoryFrance
CityStrasbourg
Period29/10/1606/11/16

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