Intravoxel Incoherent Motion Quantification Dependent on Measurement SNR and Tissue Perfusion: A Simulation Study

Area of Science:

• Medical Imaging
• Biophysics

Background:

• The intravoxel incoherent motion (IVIM) model utilizes motion-sensitizing gradients to derive functional and structural tissue information.
• IVIM analysis provides insights into tissue microdynamics and composition.

Purpose of the Study:

• To evaluate how signal-to-noise ratio (SNR) and physiological conditions affect the accuracy of IVIM parameters.
• To determine the reliability of IVIM-derived metrics under varying imaging and biological scenarios.

Main Methods:

• A simulation study modeled IVIM at the voxel level, repeated 10,000 times per simulation.
• Complex noise with varying standard deviations was added in-silico to assess SNR impact.
• Physiological blood perfusion ranges were simulated to investigate blood fraction effects on IVIM validity.
• Coefficient of variation (CV) and bias were calculated to quantify parameter estimation accuracy.

Main Results:

• IVIM parameter validity is significantly influenced by the measurement's signal-to-noise ratio (SNR).
• Physiological characteristics of the examined organ critically impact the accuracy of IVIM outputs.
• Simulation results highlight the sensitivity of IVIM parameters to both technical and biological factors.

Conclusions:

• Intravoxel incoherent motion (IVIM) imaging offers valuable insights but requires careful selection of imaging parameters.
• Optimizing IVIM acquisition protocols based on specific organ physiology and hardware constraints is crucial for reliable results.