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Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
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In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Multiband RF pulses with improved performance via convex optimization.

Hong Shang1, Peder E Z Larson1, Adam Kerr2

  • 1Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, USA.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|January 13, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for designing radiofrequency (RF) pulses for magnetic resonance imaging (MRI) and spectroscopy. The enhanced multiband RF pulse design framework improves performance, enabling faster and more precise imaging.

Keywords:
Convex optimizationGeneralized flip angleImproved pulse performanceMultibandRF pulse designShinnar–Le Roux algorithm

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Nuclear Magnetic Resonance (NMR)
  • RF Pulse Design

Background:

  • Selective RF pulses traditionally use low-pass filter profiles.
  • Sparse spectra in MRI/NMR benefit from multiband profiles.
  • Existing methods have limitations in pulse performance.

Purpose of the Study:

  • Develop a framework for designing high-performance multiband RF pulses.
  • Improve RF pulse duration, transition sharpness, and peak B1 amplitude.
  • Enable flexible trade-offs in pulse characteristics.

Main Methods:

  • Utilized the Shinnar-Le Roux (SLR) algorithm.
  • Incorporated convex optimization for pulse design.
  • Developed a framework for multiband magnitude profiles, arbitrary phase profiles, and generalized flip angles.

Main Results:

  • Created a flexible framework for designing specialized RF pulses.
  • Demonstrated improved performance through multiband profiles.
  • Successfully designed pulses for hyperpolarized (13)C MRI and (1)H MR spectroscopy.

Conclusions:

  • The developed framework offers enhanced control over RF pulse design.
  • Convex optimization allows flexible trade-offs in pulse characteristics.
  • This approach advances RF pulse design for various MRI and NMR applications.