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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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Optimizing pseudo-spiral sampling for abdominal DCE MRI using a digital anthropomorphic phantom.

Nienke P M Wassenaar1,2, Oliver J Gurney-Champion1,2, Anne-Sophie van Schelt1,2

  • 1Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Magnetic Resonance in Medicine
|July 15, 2024
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Summary
This summary is machine-generated.

Optimized pseudo-spiral (PS) sampling for abdominal dynamic contrast-enhanced MRI (DCE MRI) improves image quality and pharmacokinetic parameter accuracy. This validated strategy enhances diagnostic capabilities for pancreatic ductal adenocarcinoma (PDAC).

Keywords:
digital phantomdynamic contrast‐enhanced MRIextended Tofts modelk‐space sampling patternspancreatic cancerperfusion

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Area of Science:

  • Medical Imaging
  • Radiology
  • Biophysics

Background:

  • Dynamic Contrast-Enhanced MRI (DCE MRI) requires k-space undersampling for efficient data acquisition.
  • Pseudo-spiral (PS) sampling offers a method for k-space undersampling on a Cartesian grid following a spiral trajectory.

Purpose of the Study:

  • To optimize pseudo-spiral (PS) k-space sampling patterns for abdominal DCE MRI.
  • To enhance the accuracy and precision of pharmacokinetic parameter estimation in DCE MRI.

Main Methods:

  • An anthropomorphic digital phantom simulated contrast agent dynamics in abdominal organs and PDAC.
  • 704 sampling and reconstruction strategies were evaluated using variable density, halfscan, and compressed sensing.
  • Optimal strategies were assessed for image quality and parameter accuracy in healthy volunteers and a PDAC patient.

Main Results:

  • The optimal PS reconstruction involved a PS-diffuse based pattern with quadratic readout distribution, no random shuffling, a 0.8 halfscan factor, and 0.05 total variation regularization.
  • This strategy yielded sharper images with reduced artifacts in healthy volunteers compared to suboptimal methods.
  • High-quality DCE images were obtained in a PDAC patient using the optimized sampling strategy.

Conclusions:

  • An optimal PS sampling strategy for abdominal DCE MRI was identified using a digital phantom.
  • The feasibility and effectiveness of this optimized strategy were demonstrated in a PDAC patient.