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Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

Optimized analytical segmented method for improved intravoxel incoherent motion parameter extraction in low-perfused

Erick O Buko^1,2, Suhail P Parvaze^1,2, Casey P Johnson^1,2

¹Department of Veterinary Clinical Sciences, University of Minnesota, St. Paul, Minnesota, USA.

Magnetic Resonance in Medicine

|July 17, 2025

Summary

A new optimized analytical segmented (opAS) method improves the accuracy of intravoxel incoherent motion (IVIM) imaging for measuring tissue perfusion and diffusion, especially in low-perfusion areas.

Keywords:

bone marrow diffusion intravoxel incoherent motion magnetic resonance imaging perfusion

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Area of Science:

Biomedical Imaging
Diffusion MRI
Quantitative Imaging

Background:

Intravoxel incoherent motion (IVIM) diffusion-weighted imaging is crucial for assessing tissue perfusion and diffusion.
Limited signal in low-perfused tissues challenges accurate IVIM parameter measurement.
Existing segmented (S), oversegmented (OS), and analytical segmented (AS) fitting methods have limitations.

Purpose of the Study:

To introduce and evaluate an optimized analytical segmented (opAS) method for IVIM parameter extraction.
To compare the performance of opAS against S, OS, and AS methods.
To assess the sensitivity of these methods in detecting perfusion changes in ischemic tissues.

Main Methods:

Numerical simulations were conducted to compare accuracy and precision of the four fitting methods across various signal-to-noise ratio (SNR) levels and parameter combinations.
Retrospective analysis of IVIM data from 11 piglets with induced bone marrow ischemia was performed.
The methods' ability to detect differences in perfusion between ischemic and perfused femoral heads was evaluated.

Main Results:

The opAS method demonstrated the lowest errors in estimating diffusion (D), pseudo-diffusion fraction (f), and pseudo-diffusion coefficient (D*) in simulations, particularly for low f and D* values.
In vivo, all methods detected increased D and decreased f and f × D* in ischemic compared to perfused femoral heads.
Only AS and opAS methods consistently detected decreased D* in ischemic regions.

Conclusions:

The opAS method offers superior accuracy for IVIM parameter estimation compared to S, OS, and AS methods.
opAS is particularly advantageous for accurately quantifying perfusion-related parameters (D* and f) in low-perfusion states.
This optimized method enhances the reliability of IVIM for studying tissue perfusion dynamics.