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Susceptibility difference weighted imaging in vertical-field MRI.

Ryota Sato1, Toru Shirai2, Yo Taniguchi2

  • 1Research and Development Group, Hitachi Ltd., 1-280, Higashi-Koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan. ryota.sato.bt@hitachi.com.

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Susceptibility difference weighted imaging (SDWI) enables susceptibility-weighted imaging in vertical-field MRI. This new method visualizes veins and deep-gray-matter nuclei effectively, overcoming limitations of conventional SWI.

Keywords:
Quantitative susceptibility mappingSusceptibility difference weighted imagingSusceptibility-weighted imagingVertical-field MRI

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Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging Physics

Background:

  • Susceptibility-weighted imaging (SWI) is crucial for visualizing venous structures and deep-gray-matter nuclei.
  • Conventional SWI faces challenges in vertical-field MRI, often producing streaking artifacts.

Purpose of the Study:

  • To develop and evaluate a novel image-processing method, susceptibility difference weighted imaging (SDWI), for vertical-field MRI.
  • To assess SDWI's effectiveness in enhancing image contrast and reducing artifacts compared to conventional SWI.

Main Methods:

  • Developed SDWI, an image-processing technique utilizing a susceptibility map calculated via a weighted least-square algorithm.
  • Conducted experiments on human volunteers comparing SDWI and conventional SWI in both horizontal-field and vertical-field MRI settings.

Main Results:

  • SDWI effectively visualized veins and deep-gray-matter nuclei in horizontal-field MRI, comparable to SWI.
  • In vertical-field MRI, SDWI successfully visualized these structures without the severe streaking artifacts observed with conventional SWI.
  • The susceptibility map calculation for SDWI took less than 10 seconds.

Conclusions:

  • Susceptibility-weighted imaging is feasible in vertical-field MRI through the application of SDWI.
  • SDWI offers a promising solution for artifact-free visualization of neuroanatomical structures in vertical-field MRI systems.