Determination of the optimal set of b-values for ADC mapping under a Rician noise assumption

2026-04-27T19:55:49Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/254722021-06-23T13:29:58Zcom_10324_1191com_10324_931com_10324_894col_10324_1381

Determination of the optimal set of b-values for ADC mapping under a Rician noise assumption Peña Nogales, Óscar Hernando, Diego Aja Fernández, Santiago Luis García, Rodrigo de 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. 2017-09-10 2017-09-10 2017 info:eu-repo/semantics/conferenceObject http://uvadoc.uva.es/handle/10324/25472 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Attribution 4.0 International