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Magnetic Resonance Imaging

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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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Related Experiment Video

Updated: Dec 3, 2025

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

Deep learning algorithms for brain disease detection with magnetic induction tomography.

Ruijuan Chen¹, Juan Huang¹, Yixiang Song¹

¹School of Life Sciences, Tianjin Polytechnic University, 399 Binshui West Street, Xiqing District, Tianjin, 300387, P.R.China.

Medical Physics

|October 29, 2020

Summary

Deep learning algorithms significantly enhance magnetic induction tomography (MIT) for rapid and accurate cerebral hemorrhage detection. This artificial intelligence approach improves image reconstruction, offering a potential low-cost clinical diagnostic tool.

Failed At:

2026-06-19T13:48:08.258574+00:00

Keywords:

DL algorithms cerebral hemorrhage magnetic induction tomography reconstruction images

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