Real-time optical motion correction for diffusion tensor imaging.

Area of Science:

• Medical Imaging
• Neuroimaging
• Biophysics

Background:

• Head motion is a significant challenge in Magnetic Resonance Imaging (MRI), particularly in Diffusion Tensor Imaging (DTI) due to lengthy scan times and sensitivity to misregistration.
• Motion artifacts can compromise the accuracy and reliability of DTI-derived metrics, impacting clinical diagnosis and research.

Purpose of the Study:

• To develop and evaluate a novel real-time prospective motion correction (PMC) method for DTI to mitigate motion-induced artifacts.
• To compare the efficacy of the proposed optical PMC system against traditional image-based retrospective motion correction (RMC).

Main Methods:

• Implementation of an in-bore monovision system with a camera on the head coil and a checkerboard marker on the patient's forehead for real-time motion tracking.
• Acquisition of DTI data with and without prospective and retrospective motion correction.
• Quantitative and statistical analysis of motion artifact reduction and data similarity across different correction methods.

Main Results:

• The optical prospective motion correction system effectively reduced motion artifacts in DTI.
• Prospective motion correction demonstrated superior performance over retrospective motion correction in minimizing image misregistration.
• Statistical analysis confirmed a significant improvement (P<0.001) in data similarity with PMC compared to RMC.

Conclusions:

• Real-time optical prospective motion correction is a highly effective strategy for combating motion artifacts in diffusion tensor imaging.
• This novel approach offers significant advantages over retrospective correction methods, leading to more robust and reliable neuroimaging data.