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Abstract #3981

Statistical Strategy to Overcome Estimation Bias in CRLB Threshold Approach for LCModel Analysis of MRS

Ping-Chang Lin1, Phil Lee1, 2, Wen-Tung Wang1, William Brooks1, 3, In-Young Choi1, 2

1Hoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States; 2Department of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, United States; 3Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States


in vivo 1H MRS, particularly acquired at high magnetic fields, is beneficial to noninvasive study of changes in neurochemicals such as characterization of the disease progression and diagnosis of disease in early stages. LCModel analysis has been subject of intense activity in analyzing 1H MRS; however, there is no agreement in valid exhibition of metabolite concentrations in statistics. In this work we utilize weighted analysis of rat brain 1H MRS to demonstrate alternative exhibition of the concentration averages for the neurochemical profiles, in addition to investigation of the effect of threshold values on the averaged metabolite concentrations.