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Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/25472
Título: Determination of the optimal set of b-values for ADC mapping under a Rician noise assumption
Autor: Peña Nogales, Óscar
Hernando, Diego
Aja Fernández, Santiago
de Luis García, Rodrigo
Congreso: ISBI 2017
Año del Documento: 2017
Resumen: Mapping of the apparent diffusion coefficient (ADC), estimated from a set of diffusion-weighted (DW) images acquired with different b-values, often suffers from low SNR, which can introduce large variance in ADC maps. Unfortunately, there is no consensus on the optimal b-values to maximize the noise performance of ADC map. In this work, we determine the optimal b-values to maximize the noise performance of ADC mapping by using a Cramér-Rao Lower Bound (CRLB) approach under realistic noise assumptions. The strong agreement between the CRLB-based analysis, Monte-Carlo simulations, and ADC phantom experiment, suggests the utility of this approach to optimize DW-MRI acquisitions.
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/25472
Derechos: info:eu-repo/semantics/openAccess
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