Signal to Noise and b-value Analysis for Optimal Intra-Voxel Incoherent Motion Imaging in the Brain
Harri Merisaari, Christian Federau

TL;DR
This study investigates the noise characteristics of IVIM imaging in the brain, identifying optimal b-value schemes to improve image quality and reliability for clinical use.
Contribution
The paper introduces an analysis of noise behavior in IVIM brain imaging and proposes an optimized b-value acquisition scheme for better perfusion map homogeneity.
Findings
Two noise peaks identified at high and low b-values.
Homogeneity depends more on b-value distribution than number of averages.
Recommended b-value scheme for 12-minute scans.
Abstract
Intravoxel incoherent motion (IVIM) is a method that can provide quantitative information about perfusion in the human body, in vivo, and without contrast agent. Unfortunately, the IVIM perfusion parameter maps are known to be relatively noisy in the brain, in particular for the pseudo-diffusion coefficient, which might hinder its potential broader use in clinical applications. Therefore, we studied the conditions to produce optimal IVIM perfusion images in the brain. IVIM imaging was performed on a 3-Tesla clinical system in four healthy volunteers, with 16 b values 0, 10, 20, 40, 80, 110, 140, 170, 200, 300, 400, 500, 600, 700, 800, 900 s/mm2, repeated 20 times. We analyzed the noise characteristics of the trace images as a function of b-value, and the homogeneity of the IVIM parameter maps across number of averages and sub-sets of the acquired b values. We found two peaks of noise of…
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