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Proceedings Paper

Optimal estimation of T2 maps from magnitude MR images
Author(s): Jan Sijbers; Arnold Jan den Dekker; Marleen Verhoye; Erik R.R. Raman; Dirk Van Dyck
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Paper 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.

Paper Details

Date Published: 24 June 1998
PDF: 7 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310915
Show Author Affiliations
Jan Sijbers, Univ. of Antwerp (Belgium)
Arnold Jan den Dekker, Univ. of Antwerp (Netherlands)
Marleen Verhoye, Univ. of Antwerp (Belgium)
Erik R.R. Raman, Univ. of Antwerp (Belgium)
Dirk Van Dyck, Univ. of Antwerp (Belgium)


Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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