Minimisation of Signal Intensity Differences in Distortion Correction Approaches of Brain Magnetic Resonance Diffusion Tensor Imaging
To evaluate the effects of signal intensity differences between the b0 image and diffusion tensor imaging (DTI) in the image registration process.
To correct signal intensity differences between the b0 image and DTI data, a simple image intensity compensation (SIMIC) method, which is a b0 image re-calculation process from DTI data, was applied before the image registration. The re-calculated b0 image (b0ext) from each diffusion direction was registered to the b0 image acquired through the MR scanning (b0nd) with two types of cost functions and their transformation matrices were acquired. These transformation matrices were then used to register the DTI data. For quantifications, the dice similarity coefficient (DSC) values, diffusion scalar matrix, and quantified fibre numbers and lengths were calculated.
The combined SIMIC method with two cost functions showed the highest DSC value (0.802 ± 0.007). Regarding diffusion scalar values and numbers and lengths of fibres from the corpus callosum, superior longitudinal fasciculus, and cortico-spinal tract, only using normalised cross correlation (NCC) showed a specific tendency toward lower values in the brain regions.
Image-based distortion correction with SIMIC for DTI data would help in image analysis by accounting for signal intensity differences as one additional option for DTI analysis.
• We evaluated the effects of signal intensity differences at DTI registration.
• The non-diffusion-weighted image re-calculation process from DTI data was applied.
• SIMIC can minimise the signal intensity differences at DTI registration.
KeywordsDiffusion tensor imaging Diffusion tractography Corpus callosum Cortico-spinal tract Diagnostic imaging
Dice similarity coefficient
Diffusion tensor imaging
Echo planar imaging
Fibre assignment with the continuous tracking
Normalised mutual information
Normalised cross correlation
Region of interest
Simple image intensity compensation
Superior longitudinal fasciculus
Compliance with ethical standards
The scientific guarantor of this publication is Dr. Dong-Hoon Lee.
Conflict of interest
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Statistics and biometry
No complex statistical methods were necessary for this paper.
Written informed consent was obtained from all subjects (patients) in this study.
Institutional Review Board approval was obtained.
• performed at one institution
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