High-Resolution Diffusion Magnetic Resonance Imaging Techniques in Ex-vivo Mouse Brain
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1.School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China;2.Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou 510515, China;3.Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Guangzhou 510515, China

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R445.2

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    Abstract:

    In ex-vivo high-resolution diffusion magnetic resonance studies, the conventional diffusion-weighted spin-echo pulse (DWI-SE) sequence is difficult to satisfy the large sample requirement due to the long scan time. Multi-shot diffusion-weighted echo-planar imaging (MS-DWI-EPI) sequence, which combines echo-planar imaging (EPI) readout and k-space segmented acquisition, not only significantly improves the scanning efficiency, but also effectively reduces the common image aberration and distortion problems of single-shot EPI. However, the microstructure resolution ability of MS-DWI-EPI in ex-vivo samples still lacks systematic validation. In this study, we perform high-resolution diffusion imaging of ex-vivo mouse brains using 3D DWI-SE sequence and 3D MS-DWI-EPI sequence, and evaluate the differences between these two sequences in signal-to-noise ratio, diffusion tensor imaging (DTI) parameter estimation, and tractography performance. Experimental results show that the scanning time of the MS-DWI-EPI sequence is nearly 50% shorter while the signal-to-noise ratio of its raw b0 images is about three times higher than the DWI-SE for the same spatial and angular resolution of acquisition. In critical anatomical regions such as the corpus callosum and hippocampus, MS-DWI-EPI not only enhances the structural contrast of DTI images, but also improves the tractography. The sequence achieves a good balance between imaging efficiency and quality, providing a more efficient diffusion-weighted imaging protocol for high-throughput microstructural studies.

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REN Baoxing, FENG Yanqiu, ZHANG Xinyuan. High-Resolution Diffusion Magnetic Resonance Imaging Techniques in Ex-vivo Mouse Brain[J].,2025,40(4):901-911.

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History
  • Received:April 30,2025
  • Revised:July 09,2025
  • Adopted:
  • Online: August 15,2025
  • Published:
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