# Toward optimized intravoxel incoherent motion (IVIM) and compartmental T2 mapping in abdominal organs

## TL;DR

This study improves MRI techniques to more accurately measure tissue properties in abdominal organs by addressing biases in current methods.

## Contribution

A new 2D T2-IVIM model and optimized acquisition protocol are introduced to reduce bias in pseudo-diffusion volume fraction estimation.

## Key findings

- The traditional IVIM model shows higher f values with increasing TE in the liver but not in kidney regions.
- The 2D T2-IVIM model reduces f variability and yields lower f values in the liver.
- A b–TE protocol with six b-values and three TEs is suggested as optimal for liver T2-IVIM.

## Abstract

To quantitatively assess the bias in the intravoxel incoherent motions (IVIM)-derived pseudo-diffusion volume fraction (f) caused by the differences in relaxation times between the tissue and fluid compartments, and to develop a two-dimensional (b-value-TE) fitting approach for simultaneous T2 and IVIM parameter estimation along with an optimal acquisition protocol for the relaxation-compensated T2-IVIM imaging in the liver.

Simulations were conducted to investigate the TR- and TE-dependent bias in f when using the IVIM model, and to evaluate the applicability of the 2D T2-IVIM model for reducing this bias. The numerical findings were then validated using the in vivo IVIM data from four healthy volunteers on a 3-Tesla MRI scanner. Finally, a numerical framework for optimizing the T2-IVIM protocol for relaxation-compensated f parameter estimation was proposed and tested using the in vivo data.

In vivo, the traditional IVIM model showed a trend toward higher f with increasing TE in the liver (R = 0.46, P = 0.023), but not in the kidney cortex (R = −0.067, P = 0.76) or medulla (R = 0.039, P = 0.86). In both simulations and in vivo, 2D T2–IVIM modeling yielded lower f values and reduced variability in the liver. Our results further suggest that a b–TE protocol with six b-values and three TEs (50, 60, 100 ms) may be optimal for liver T2-IVIM.

The extended 2D T2-IVIM model effectively minimizes the TE-dependent bias in f and allows simultaneous estimation of the IVIM parameter and compartmental T2 values in abdominal organs.