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Related Experiment Video

Updated: Jul 8, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

MR susceptibility misregistration correction.

T S Sumanaweera¹, G H Glover, T O Binford

¹Stanford Univ., CA.

IEEE Transactions on Medical Imaging

|January 1, 1993

Summary

This summary is machine-generated.

This study introduces an in vivo method to correct spatial distortions in magnetic resonance (MR) images caused by magnetic susceptibility variations. The new technique achieves accuracy comparable to computed tomography (CT), improving geometric measurements for applications like stereotaxic surgery.

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Area of Science:

Medical Imaging
Biophysics
Image Processing

Background:

Magnetic resonance (MR) imaging is susceptible to spatial distortions.
These distortions arise from magnetic susceptibility variations, particularly at air/tissue interfaces.
Accurate geometric measurements in MR imaging are crucial for applications such as stereotaxic surgery.

Purpose of the Study:

To develop and validate a novel in vivo method for correcting spatial distortions in MR images.
To quantify the effectiveness of the correction method by comparing MR images to computed tomography (CT) images.
To present a new method for estimating magnetic susceptibility from MR images.

Main Methods:

A new in vivo method was developed to correct nonlinear, object-shape-dependent, and material-dependent spatial distortions.
Distortion was quantified using a phantom and compared to distortion-free CT images via image fusion with fiducials.
Magnetic susceptibility of cortical bone was measured using a SQUID magnetometer.

Main Results:

The correction scheme significantly reduces spatial distortions, achieving accuracy similar to CT (1 mm).
Distortion at the air/tissue boundary was reduced from approximately 2 mm to within 1 mm.
The magnetic susceptibility of cortical bone was measured as -8.86 ppm, similar to that of tissue (-9 ppm).

Conclusions:

The developed in vivo method effectively corrects spatial distortions in MR images caused by magnetic susceptibility variations.
The corrected MR images offer geometric accuracy comparable to CT, enhancing their utility for precise medical applications.
The study also provides a novel method for estimating magnetic susceptibility from MR images.