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Estimation of intravoxel incoherent motion parameters using low b-values

Chen Ye1, Daoyun Xu1, Yongbin Qin1

  • 1Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, School of Computer Science and Technology, Guizhou University, Guiyang, China.

Plos One
|February 7, 2019
PubMed

Insights

The number of low b-values in Intravoxel Incoherent Motion (IVIM) imaging impacts parameter estimation differently for Least-Squares (LSQ) and Bayesian Shrinkage Prior (BSP) methods. BSP is less dependent but more sensitive to noise.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Radiology

Background:

  • Intravoxel Incoherent Motion (IVIM) imaging is a valuable MRI technique for clinical applications.
  • Accurate estimation of IVIM parameters, particularly at low b-values, remains a challenge.

Purpose of the Study:

  • To systematically investigate the impact of varying the number of low b-values on IVIM parameter estimation.
  • To compare the performance of Least-Squares (LSQ) and Bayesian Shrinkage Prior (BSP) fitting methods under different low b-value conditions.

Main Methods:

  • Simulation of diffusion-weighted (DW) data with varying low b-values to analyze IVIM parameter distributions.
  • Acquisition of in vivo DW data with different numbers of low b-values and number of excitations (NEX).
  • Implementation of LSQ and BSP fitting methods for IVIM parameter estimation.

Main Results:

  • The influence of the number of low b-values on IVIM parameters varies.
  • LSQ fitting is more sensitive to the number of low b-values compared to BSP.
  • BSP fitting, while less dependent on the number of low b-values, exhibits increased sensitivity to noise.

Conclusions:

  • The choice of fitting method and the number of low b-values are critical for accurate IVIM parameter estimation.
  • Understanding these dependencies is essential for optimizing IVIM acquisition and analysis protocols.

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