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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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The magnetic field due to a volume current distribution given by the Biot–Savart Law can be expressed as follows:
Induced Electric Dipoles01:28

Induced Electric Dipoles

A permanent electric dipole orients itself along an external electric field. This rotation can be quantified by defining the potential energy because the external torque does work in rotating it. Then, the potential energy is minimum at the parallel configuration and maximum at the antiparallel configuration. While the former is a stable equilibrium, the latter is an unstable equilibrium.
Since the absolute value of potential energy holds no physical meaning, its zero value can be chosen as per...

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Updated: Jun 3, 2026

Neuroimaging-Guided TMS&#8211;EEG for Real-Time Cortical Network Mapping
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A novel background field removal method for MRI using projection onto dipole fields (PDF).

Tian Liu1, Ildar Khalidov, Ludovic de Rochefort

  • 1Department of Radiology, Weill Cornell Medical College, New York, NY, USA.

NMR in Biomedicine
|March 10, 2011
PubMed
Summary

A new method called projection onto dipole fields (PDF) effectively removes background fields in susceptibility-weighted imaging. This technique improves image quality and magnetic susceptibility quantification by isolating local magnetic sources.

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Neuroimaging

Background:

  • Accurate magnetic susceptibility quantification in imaging requires isolating local magnetic fields from background fields.
  • Existing background removal techniques have limitations due to model assumptions and input data accuracy.
  • Background fields in susceptibility-weighted imaging originate from imperfect shimming and tissue susceptibility variations.

Purpose of the Study:

  • To develop a novel, non-parametric technique for background magnetic field removal in susceptibility-weighted imaging.
  • To address the limitations of previous background removal methods.
  • To improve image quality and quantitative accuracy in susceptibility mapping.

Main Methods:

  • Proposed a projection onto dipole fields (PDF) technique based on the orthogonality of magnetic fields from internal and external dipoles.
  • Decomposed the background field within a region of interest (ROI) into fields originating from external dipoles using Hilbert space projection.
  • Validated the PDF technique using numerical simulations, phantom experiments, and human brain imaging.

Main Results:

  • The PDF technique demonstrated substantial improvement in background field removal compared to the high-pass filtering method.
  • Successfully applied the PDF method to human brain imaging, enhancing image quality.
  • Validated the effectiveness and robustness of the PDF approach.

Conclusions:

  • The projection onto dipole fields (PDF) technique is a powerful and effective method for background magnetic field removal.
  • PDF offers superior performance over traditional methods for susceptibility-weighted imaging.
  • This technique holds significant potential for advancing quantitative susceptibility mapping and neuroimaging research.