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Related Concept Videos

Brain Imaging01:14

Brain Imaging

468
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.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
468
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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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Updated: Nov 14, 2025

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
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Texture Analysis in Brain Tumor MR Imaging.

Akira Kunimatsu1,2, Koichiro Yasaka1,2, Hiroyuki Akai1,2

  • 1Department of Radiology, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo.

Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine
|March 11, 2021
PubMed
Summary
This summary is machine-generated.

Magnetic Resonance Imaging-based Texture Analysis (MRTA) quantifies image patterns for brain tumor assessment. Standardization and quality assessment are crucial for reliable clinical application of MRTA in neuro-oncology.

Failed At:

2026-06-19T13:48:16.279070+00:00

Keywords:
glioblastomamachine learningmagnetic resonance imagingradiomicstexture analysis

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