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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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Phase sensitive reconstruction for water/fat separation in MR imaging using inverse gradient.

Joakim Rydell1, Hans Knutsson, Johanna Pettersson

  • 1Center for Medical Image Science and Visualization (CMIV), Linköping University, Sweden.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|December 7, 2007
PubMed
Summary

This study introduces a new phase unwrapping method for MRI, improving fat quantification. The novel approach offers more robust and straightforward 3D implementation compared to existing region growing techniques.

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Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)
  • Image Reconstruction

Background:

  • Phase sensitive reconstruction in MRI is crucial for accurate imaging.
  • Existing phase unwrapping methods, such as region growing, can be limited in robustness and 3D implementation.

Purpose of the Study:

  • To present a novel, robust, and easily implementable 3D phase unwrapping method for MRI.
  • To improve the accuracy of phase sensitive reconstruction, specifically for fat quantification.

Main Methods:

  • Developed a novel phase unwrapping technique by integrating the phase gradient.
  • Solved the resulting Poisson equation using an efficient, publicly available solver.
  • Demonstrated the method on a fat quantification MRI task within a prospective study.

Main Results:

  • The proposed method provides more robust phase unwrapping compared to region growing techniques.
  • The novel method is straightforward to implement in three dimensions (3D).
  • Successful application in a fat quantification MRI task.

Conclusions:

  • The novel phase unwrapping method enhances the reliability of phase sensitive MRI reconstruction.
  • This technique offers a significant advantage for 3D applications, particularly in fat quantification studies.