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Proceedings Paper

Multi-voxel algorithm for quantitative bi-exponential MRI T1 estimation
Author(s): P. Bladt; G. Van Steenkiste; G. Ramos-Llordén; A. J. den Dekker; J. Sijbers
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Paper Abstract

Quantification of the spin-lattice relaxation time, T1, of tissues is important for characterization of tissues in clinical magnetic resonance imaging (MRI). In T1 mapping, T1 values are estimated from a set of T1-weighted MRI images. Due to the limited spatial resolution of the T1-weighted images, one voxel might consist of two tissues, causing partial volume effects (PVE). In conventional mono-exponential T1 estimation, these PVE result in systematic errors in the T1 map. To account for PVE, single-voxel bi-exponential estimators have been suggested. Unfortunately, in general, they suffer from low accuracy and precision. In this work, we propose a joint multi-voxel bi-exponential T1 estimator (JMBE) and compare its performance to a single-voxel bi-exponential T1 estimator (SBE). Results show that, in contrast to the SBE, and for clinically achievable single-voxel SNRs, the JMBE is accurate and efficient if four or more neighboring voxels are used in the joint estimation framework. This illustrates that, for clinically realistic SNRs, accurate results for quantitative biexponential T1 estimation are only achievable if information of neighboring voxels is incorporated.

Paper Details

Date Published: 21 March 2016
PDF: 14 pages
Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 978402 (21 March 2016); doi: 10.1117/12.2216831
Show Author Affiliations
P. Bladt, Univ. of Antwerp (Belgium)
G. Van Steenkiste, Univ. of Antwerp (Belgium)
G. Ramos-Llordén, Univ. of Antwerp (Belgium)
A. J. den Dekker, Univ. of Antwerp (Belgium)
Delft Univ. of Technology (Netherlands)
J. Sijbers, Univ. of Antwerp (Belgium)

Published in SPIE Proceedings Vol. 9784:
Medical Imaging 2016: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

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