Paper
24 June 1998 Optimal estimation of T2 maps from magnitude MR images
Jan Sijbers, Arnold Jan den Dekker, Marleen Verhoye, Erik R.R. Raman, Dirk Van Dyck
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Abstract
A Maximum Likelihood estimation technique is proposed for optimal estimation of Magnetic Resonance (MR) T2 maps from a set of magnitude MR images. Thereby, full use is made of the actual probability density function of the magnitude data, which is the Rician distribution. While equal in terms of precision, the proposed method is demonstrated to be superior in terms of accuracy compared to conventional relaxation parameter estimation techniques.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jan Sijbers, Arnold Jan den Dekker, Marleen Verhoye, Erik R.R. Raman, and Dirk Van Dyck "Optimal estimation of T2 maps from magnitude MR images", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310915
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Cited by 16 scholarly publications.
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KEYWORDS
Signal to noise ratio

Magnetic resonance imaging

Data modeling

Error analysis

Magnetism

Image analysis

Biological research

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