Perfusion Imaging with IVIM: Why Is It Worth Having a Look?
Oliver Gurney-Champion1
1Amsterdam UMC, Netherlands

Synopsis

Keywords: Contrast mechanisms: Diffusion, Contrast mechanisms: Perfusion, Cross-organ: Tissue characterisation

Intravoxel Incoherent Motion (IVIM) presents a compelling approach to studying tissue (micro)circulation and perfusion. In this talk, we explore why IVIM is a valuable tool in medical imaging and how it differs from other perfusion measures. By dissecting the principles behind IVIM, we uncover its ability to differentiate between diffusion and (microvascular) perfusion in tissue, offering insights into various pathologies. Moreover, we will touch upon the different mechanisms and assumptions behind the IVIM signal model and discuss when they hold and when not.

Intravoxel Incoherent Motion (IVIM) offers a fascinating window into tissue perfusion and microcirculation1. This educational presentation introduces IVIM, highlighting its importance and practical applications in clinical settings.

We start by unraveling the fundamental principles of IVIM, emphasizing its distinction from other perfusion measures and its relevance in understanding tissue microstructure. Although multiple techniques measure "perfusion", due to their different mechanisms, they can measure different aspects of perfusion. Particularly, IVIM measures diffusion (D), pseudo-diffusion (D*) and the pseudo-diffusion signal fraction (f), where conventionally, the pseudo-diffusion is interpreted as blood microcirculation. However, in practice, IVIM is sensitive to all intravoxel incoherent motion2. This could include blood in larger vessels due to laminar flow profiles, other flowing fluids such as CSF, or tissue deformation (cardiac and potentially respiratory motion).

Besides the mechanisms being different2, IVIM has also several practical advantages. In particular, in contrast to dynamic contrast-enhanced (DCE) MRI, IVIM imaging eliminates the need for contrast injections, offering a non-invasive alternative for assessing tissue perfusion. Unlike arterial spin labeling (ASL), which requires meticulous planning of label planes, IVIM simplifies the process with its global encoding approach. Moreover, IVIM probes the microvasculature, providing valuable insights into tissue microcirculation that are not achievable with black blood imaging techniques. Additionally, IVIM analysis provides information about free diffusion within tissues, further enhancing its utility for comprehensive perfusion assessment.

Finally, we discuss some advanced IVIM acquisition and modeling techniques that try to separate different sources of incoherent motions. Particularly, tri-exponential fitting may split fast and slow intravoxel incoherent motions in the liver3, brains4 and kidneys5,6. This could be a tool to separate laminar flow from slower microperfusion. Moreover, the diffusion gradients can be manipulated such that they are motion- and flow-compensated7 to probe certain aspects of the incoherent motion.

Acknowledgements

The KWF Dutch Cancer Society supports dr. Gurney-Champion under grant No. KWF-UvA 2021.13785 and NWO supports dr. Gurney-Champion under grant number VIDI-2022-20367

References

1 Le Bihan, Denis, et al. "MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders." Radiology 161.2 (1986): 401-407.

2 Le Bihan, Denis. "What can we see with IVIM MRI?." Neuroimage 187 (2019): 56-67.

3 Chevallier, Olivier, et al. "Evidence of tri-exponential decay for liver intravoxel incoherent motion MRI: a review of published results and limitations." Diagnostics 11.2 (2021): 379.

4 Voorter, Paulien HM, et al. "Improving microstructural integrity, interstitial fluid, and blood microcirculation images from multi‐b‐value diffusion MRI using physics‐informed neural networks in cerebrovascular disease." Magnetic resonance in medicine 90.4 (2023): 1657-1671.

5 Van Baalen, Sophie, et al. "Mono, bi-and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings." Cancer Imaging 18 (2018): 1-11.

6 van der Bel, René, et al. "A tri-exponential model for intravoxel incoherent motion analysis of the human kidney: in silico and during pharmacological renal perfusion modulation." European journal of radiology 91 (2017): 168-174.

7 Wetscherek, Andreas, et al. "Flow compensated IVIM as a tool to probe microvasculature." Proceedings of the International Society for Magnetic Resonance in Medicine. Vol. 20. 2012.

Proc. Intl. Soc. Mag. Reson. Med. 32 (2024)