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Simultaneous segmentation and iterative registration method for computing ADC with reduced artifacts from DW-MRI.

Harini Veeraraghavan1, Richard K G Do2, Diane L Reidy3

  • 1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York 10065.

Medical Physics
|May 17, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new automated method using simultaneous image segmentation and iterative registration (SSIR) to reduce artifacts in apparent diffusion coefficient (ADC) measurements from diffusion-weighted MRI. The SSIR method significantly improves ADC accuracy in moving organs by minimizing image artifacts.

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Radiology

Background:

  • Apparent diffusion coefficient (ADC) from diffusion-weighted MRI (DW-MRI) quantifies water molecule motion for assessing tumor therapy response.
  • Organ motion and imaging artifacts can compromise the accuracy of ADC measurements, particularly in organs like the liver.
  • Accurate ADC quantification is crucial for reliable assessment of treatment efficacy.

Purpose of the Study:

  • To develop an automated method for reducing artifacts in ADC measurements.
  • To enhance the accuracy of ADC quantification in moving organs, such as the liver.
  • To improve the reliability of tumor response assessment using DW-MRI.

Main Methods:

  • Developed a novel simultaneous image segmentation and iterative registration (SSIR) method for multiple b-value DW-MRI.
  • Employs iterative alignment of b-value images to a reference using affine and deformable B-spline registration.
  • Quantifies alignment accuracy using modified Hausdorff distance and volumetric segmentation (GrowCut) of user-defined structures.

Main Results:

  • The SSIR approach significantly reduced artifacts, achieving a mean artifact ratio of 2.7% compared to 5.4% (affine) and 32% (no registration).
  • Demonstrated the lowest median standard deviation in computed mean ADC values across various tumor types and simulated displacements.
  • Outperformed basic affine and no registration methods in reducing artifacts and improving ADC measurement stability.

Conclusions:

  • A novel SSIR method was developed for artifact reduction in ADC maps derived from multi-b-value DW-MRI.
  • The method utilizes a registration quality metric for accurate image alignment, improving ADC accuracy.
  • The SSIR approach offers superior performance over conventional methods, yielding lower artifact ratios and improved ADC measurement consistency.