کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10713441 1025316 2005 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Implications of the Rician distribution for fMRI generalized likelihood ratio tests
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک ماده چگال
پیش نمایش صفحه اول مقاله
Implications of the Rician distribution for fMRI generalized likelihood ratio tests
چکیده انگلیسی
In functional magnetic resonance imaging (fMRI), the general linear model test (GLMT) is widely used for brain activation detection. However, the GLMT relies on the assumption that the noise corrupting the data is Gaussian distributed. Because the majority of fMRI studies employ magnitude image reconstructions, which are Rician distributed, this assumption is invalid and has significant consequences in case the signal-to-noise ratio (SNR) is low. In this study, we show that the GLMT should not be used at low SNR. Furthermore, we propose a generalized likelihood ratio test for magnitude MR data that has the same performance compared to the GLMT for high SNR, but performs significantly better than the GLMT for low SNR.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Magnetic Resonance Imaging - Volume 23, Issue 9, November 2005, Pages 953-959
نویسندگان
, ,