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Magnetic Resonance Imaging01:24

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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Updated: Jun 21, 2026

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
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Semiautomated MRI-Based Method for Orbital Volume and Contour Analysis.

Lital Smadar1,2, Mattan Arazi1,2, Gahl Greenberg2,3

  • 1Orbital Ophthalmic Plastic & Lacrimal Surgery Institute, Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer.

Ophthalmic Plastic and Reconstructive Surgery
|March 27, 2024
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Summary
This summary is machine-generated.

This study introduces a novel semiautomated MRI method for measuring orbital dimensions, which closely correlates with CT scans. This technique offers a valuable tool for assessing orbital pathologies, especially in pediatric patients.

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Area of Science:

  • Ophthalmology and Medical Imaging
  • Radiology and Orbital Mechanics

Background:

  • Accurate orbital cavity measurements are crucial for managing ocular and orbital diseases.
  • Computed tomography (CT) is commonly used, but magnetic resonance imaging (MRI) is preferred for soft tissue assessment, particularly in pediatric cases.

Purpose of the Study:

  • To introduce and validate a novel semiautomated MRI-based approach for depicting orbital shape and dimensions.
  • To compare MRI-derived orbital measurements with CT-based measurements.

Main Methods:

  • A retrospective cohort study involving 31 patients with at least one normal orbit who underwent both CT and MRI.
  • Orbital dimensions (volume, length, depth) were determined using manual segmentation and 3D image processing software.
  • Comparison of measurements between MRI and CT scans.

Main Results:

  • A strong correlation was found between CT and MRI measurements for orbital volume (r=0.92), horizontal length (r=0.65), vertical length (r=0.57), and depth (r=0.46).
  • Mean differences between CT and MRI measurements were minimal, with no statistically significant differences for volume, horizontal length, vertical length, or depth.
  • The semiautomated MRI method demonstrated high agreement with the gold standard CT measurements.

Conclusions:

  • The developed semiautomated MRI method accurately calculates orbital volume and contour.
  • This validated MRI technique is a valuable tool for evaluating various orbital conditions.
  • The method shows particular promise for pediatric patients where MRI is often indicated.