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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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Related Experiment Video

Updated: May 6, 2026

3D Printing Model of a Patient's Specific Lumbar Vertebra

3D Printing Model of a Patient's Specific Lumbar Vertebra

Published on: April 14, 2023

High-Resolution 2D versus 3D Lumbar Spine MRI Optimized with a Deep Learning Reconstruction Algorithm and Prototype

Meghan Sahr¹, Allison Lowe¹, Darryl B Sneag¹

¹From the Department of Radiology and Imaging (M.S., A.L., D.B.S., J.L.C., R.K., E.T.T.), Hospital for Special Surgery, New York, New York.

AJNR. American Journal of Neuroradiology

|May 4, 2026

Summary

This summary is machine-generated.

3D lumbar spine MRI with deep-learning reconstruction (DLR) provides comparable image quality to 2D sequences. This advanced technique significantly reduces scan times, making lumbar spine MRI more efficient.

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Area of Science:

Radiology
Magnetic Resonance Imaging
Spine Imaging

Background:

2D Fast Spin Echo (FSE) sequences are standard for lumbar spine MRI.
3D FSE sequences offer potential benefits, enhanced by deep-learning reconstruction (DLR) and conformal coils for improved signal-to-noise ratio (SNR).

Purpose of the Study:

To compare image quality and diagnostic performance between 2D and 3D lumbar spine MRI protocols.
To evaluate the impact of a prototype conformal coil and DLR on both 2D and 3D sequences.

Main Methods:

Prospective recruitment of 31 subjects with lumbar curvature for 3T MRI.
Utilized a 70-element conformal spine coil array and applied DLR to both 2D and 3D protocols.
Musculoskeletal radiologists assessed T1, T2, and STIR sequences for image quality and diagnostic accuracy, with statistical analysis of interrater agreement and sequence differences.

Main Results:

3D sequences achieved a 14% overall scan time reduction compared to 2D, with a 38% reduction for T2 sequences.
Image quality was comparable between 2D and 3D sequences.
3D T2 sequences demonstrated reduced cerebrospinal fluid (CSF) flow artifact; interrater agreement was consistently good to excellent for both 2D and 3D assessments.

Conclusions:

Deep-learning reconstruction-enabled 3D lumbar spine MRI achieves image quality comparable to conventional 2D techniques.
The 3D approach offers a significant reduction in overall scan time, enhancing efficiency in lumbar spine imaging.