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Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
Published on: December 9, 2010
Parallel magnetic resonance imaging using localized receive arrays with sinc interpolation (PILARS)
1Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
Magnetic Resonance in Medicine
|August 23, 2011
Summary
This study introduces a new parallel imaging method for Magnetic Resonance Imaging (MRI) using large coil arrays. The technique enhances imaging speed by reducing the need for calibration signals, enabling higher acceleration factors.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Medical Imaging Technology
- Biomedical Engineering
Background:
- Parallel imaging accelerates MRI by using large coil arrays with localized sensitivity.
- Current methods are limited by the requirement for extensive auto-calibration signals.
- This limitation restricts the achievable acceleration factors in accelerated MRI.
Purpose of the Study:
- To develop a novel parallel imaging method for large coil arrays in MRI.
- To overcome the limitations imposed by auto-calibration signals.
- To achieve higher acceleration factors without compromising image quality.
Main Methods:
- A new parallel imaging technique utilizing Sinc kernels for k-space data interpolation.
- Estimation of a single phase parameter using a minimal set of calibration signals.
- Validation through simulations with synthetic array data and phantom experiments.
Main Results:
- The proposed method allows for higher actual acceleration factors compared to existing techniques.
- Reconstruction quality is maintained at a comparable level.
- Reduced reliance on calibration data significantly improves efficiency.
Conclusions:
- The novel Sinc kernel interpolation method enables more efficient parallel imaging with large arrays.
- This approach significantly increases achievable acceleration factors in MRI.
- The method offers a promising advancement for accelerated MR imaging.
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