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View-sharing PROPELLER with pixel-based optimal blade selection: application on dynamic contrast-enhanced imaging.

Tzu-Chao Chuang1, Hsuan-Hung Huang1, Hing-Chiu Chang2

  • 1Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan.

Medical Physics
|June 1, 2014
PubMed
Summary
This summary is machine-generated.

Pixel-based optimal blade selection (POBS) enhances dynamic contrast-enhanced MR imaging by minimizing artifacts in view-sharing PROPELLER (VS-Prop) acquisitions. This method improves spatial and temporal resolution, crucial for clinical applications.

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Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)

Background:

  • Dynamic contrast-enhanced (DCE) MRI requires high spatial and temporal resolution.
  • View sharing (VS) in PROPELLER (VS-Prop) acquisition improves resolution but can cause temporal smoothing artifacts, especially with narrow blades for faster imaging.
  • These artifacts can degrade the accuracy of dynamic imaging, particularly for rapid signal changes.

Purpose of the Study:

  • To introduce and evaluate a novel iterative algorithm, pixel-based optimal blade selection (POBS).
  • To enable spatially dependent blade selection in VS-Prop to minimize reconstruction artifacts.
  • To generate high-resolution dynamic MR images with improved temporal fidelity.

Main Methods:

  • Developed the POBS algorithm to select neighboring blades with the closest image contrast for VS-Prop reconstruction.
  • Utilized numerical simulations and phantom experiments to assess dynamic response and spatial profiles.
  • Conducted in vivo DCE cardiovascular imaging in healthy subjects to demonstrate feasibility.

Main Results:

  • POBS VS-Prop demonstrated timely dynamic response to rapid signal changes, even with narrow blades.
  • The algorithm effectively captured nonsimultaneous signal changes across the field of view.
  • Phantom and in vivo results confirmed avoidance of temporal smoothing, leading to steeper contrast enhancement slopes.

Conclusions:

  • The POBS algorithm provides satisfactory reconstruction quality for VS-Prop.
  • VS-Prop acquisition with POBS shows promise for clinical DCE-MRI applications.
  • This technique is particularly beneficial in studies demanding high spatial and temporal resolution.