SNR-weighted regularization of ADC estimates from double-echo in steady-state (DESS).

ABSTRACT:

Purpose

To improve the homogeneity and consistency of apparent diffusion coefficient (ADC) estimates in cartilage from the double-echo in steady-state (DESS) sequence by applying SNR-weighted regularization during post-processing.

Methods

An estimation method that linearizes ADC estimates from DESS is used in conjunction with a smoothness constraint to suppress noise-induced variation in ADC estimates. Simulations, phantom scans, and in vivo scans are used to demonstrate how the method reduces ADC variability. Conventional diffusion-weighted echo-planar imaging (DW EPI) maps are acquired for comparison of mean and standard deviation (SD) of the ADC estimate.

Results

Simulations and phantom scans demonstrated that the SNR-weighted regularization can produce homogenous

SUBMITTER: Sveinsson B 

PROVIDER: S-EPMC6258287 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature