An image correction protocol to reduce distortion for 3-T stereotactic MRI

Area of Science:

• Medical Imaging
• Neurosurgery
• Image Processing

Background:

• Image distortion in 3-Tesla (3T) MRI hinders precise application in stereotactic functional neurosurgery.
• Accurate targeting is crucial for the success of functional neurosurgery procedures.

Purpose of the Study:

• To evaluate a novel method for correcting and reducing image distortion in 3T MRI scans.
• To assess the efficacy of the distortion correction technique for stereotactic neurosurgery.

Main Methods:

• A phantom head model within a stereotactic frame was scanned using a 3T MRI scanner.
• Normal and reversed images were acquired, and an inverted gradient correction protocol was applied to rectify coordinates.
• Cronbach's test was used to assess data reliability.

Main Results:

• The data rectification method proved effective in reducing geometric distortion.
• The average distortion after correction was 1.05 mm, with variations from 0.7 mm to 3.7 mm.
• Statistical analysis showed no significant differences among observers (P > .05).

Conclusions:

• The rectifying technique successfully corrects geometric distortion in MRI caused by static field inhomogeneities.
• This method ensures accurate stereotactic target registration for functional neurosurgery.
• The technique is compatible with standard spin-echo MRI sequences.