NeuroImage, 2017 · DOI: http://dx.doi.org/10.1016/j.neuroimage.2017.06.051 · Published: June 29, 2017
Diffusion tensor imaging (DTI) is a technique used to examine the white matter microstructure of the spinal cord, but it's prone to various artifacts. Retrospective correction techniques are used to reduce these artifacts without increasing scan time. This paper introduces a novel outlier rejection method called 'reliability masking' to improve existing correction approaches. It excludes unreliable data points from DTI index maps. The study investigates how different combinations of retrospective correction techniques, including registration, robust fitting, and reliability masking, affect the statistical power of findings related to cervical spondylotic myelopathy (CSM) patients.
Reliability masking can enhance the ability to detect significant group differences in spinal cord DTI studies.
By reducing group variability, reliability masking offers a cost-efficient way to increase statistical power without increasing participant numbers.
The technique assists in cleaning up irreversibly biased voxels, leading to more reliable DTI index maps.