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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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Diffusion Imaging in the Rat Cervical Spinal Cord
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Gradient waveform design for tensor-valued encoding in diffusion MRI.

Filip Szczepankiewicz1, Carl-Fredrik Westin2, Markus Nilsson3

  • 1Radiology, Brigham and Women's Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Clinical Sciences, Lund University, Lund, Sweden.

Journal of Neuroscience Methods
|November 26, 2020
PubMed
Summary
This summary is machine-generated.

Tensor-valued diffusion encoding utilizes the b-tensor shape for enhanced contrast, offering new insights into microscopic diffusion anisotropy. This review details gradient waveform design for optimal performance in diffusion MRI applications.

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2026-06-19T13:48:10.877319+00:00

Keywords:
Diffusion magnetic resonance imagingGradient waveform designTensor-valued diffusion encoding

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