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 the trace images as function of b value, one due to thermal noise at high b-value, and one due to physiological noise at low b-value. The selection of b value distribution was found to have higher impact on the homogeneity of the IVIM parameter maps than the number of averages. Based on evaluations, we suggest an optimal b value acquisition scheme for a 12 min scan as 0 (7), 20 (4), 140 (19), 300 (9), 500 (19), 700 (1), 800 (4), 900 (1) s/mm2.

Highlights

  • Intravoxel incoherent motion (IVIM) is a method to separate perfusion effects from thermal diffusion effects from images acquired using diffusion-weighted magnetic resonance [1]

  • When b-value sets having the same number of b-values were averaged and four subjects were combined in the general linear model (GLM) analysis, interaction term between the number of b-values and number of repetitions in white matter (WM) D (p

  • We observed that the number of b-values was affecting Standard Deviation (SD) of WM and grey matter (GM) in IVIM parameter maps more than the averaging of the signal (p

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Summary

Introduction

Intravoxel incoherent motion (IVIM) is a method to separate perfusion effects from thermal diffusion effects from images acquired using diffusion-weighted magnetic resonance [1]. The IVIM method has been shown to be applicable in a broad range of brain clinical investigations [3], both in the context of hyperperfused lesions such as in high-grade glioma [4,5,6,7,8,9,10,11,12], and hypoperfused lesions such as strokes [13,14,15,16], vasospasm [17], cerebral lymphoma [18] and cerebral death [19]. The method has shown promise for the survival prognosis in high-grade brain glioma [20, 21], in differentiating recurrent tumor from radiation necrosis for brain metastases treated with radiosurgery [22], and as a surrogate.

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