Denoising Diffusion & Functional MRI for Neuroimaging
MICSI-RMT
High-end imaging on low-end scanners
High-end Imaging Across Magnetic Field Strengths
Our findings demonstrate that MICSI-RMT consistently delivers high-quality images across different magnetic field strengths, from 1.5T to 3.0T MRI systems. This capability enables the use of advanced diffusion imaging across MRI systems, significantly enhancing image quality without the need for expensive hardware upgrades.
Field Strength Comparison in MRI Scans of the Same Patient
These images showcase mean diffusivity (MD) and directionally encoded color fractional anisotropy (cFA) for the same patient scanned at different magnetic field strengths using MICSI-RMT technology. The top row features scans from a 1.5T MRI system, while the bottom row displays results from a 3.0T system.The SNR values, calculated over white matter, illustrate how MICSI-RMT significantly improves image quality and detail across different magnetic field strengths, demonstrating its efficacy in providing high-quality diagnostic imaging without costly hardware upgrades.
Neuroimaging through dMRI traditionally grapples with imaging resolution against noise. Through a combination of denoising and Bayesian parameter estimation, it is possible to maximize the precision while minimizing bias to produce maps high fidelity quantitative maps.
Standard vs MICSI-dMRI Parameter Mapping
Parameter maps of mean diffusivity (MD), fractional anisotropy (FA), directionally encoded color FA (cFA), and radial kurtosis (RK) are compared between standard and MICSI-DMRI parameter estimation.
MP-PCA was used to preprocess both of these datasets, therefore the artifacts of the standard approach are unrelated to noise. The white arrows on standard cFA show regions within the cerebrospinal fluid (CSF), which incorrectly show fibrous structure, as though this fluid contains dense white matter.
The white arrows on standard cFA show regions within the cerebrospinal fluid (CSF).
MP-PCA increases the precision of fiber tracts derived from diffusion MRI compared to those of the original dataset.
Original
MP-PCA
Functional MRI
Overcoming Technical Obstacles in Mapping Neural Activity
Functional MRI (fMRI) has been one of the greatest success stories of neuroimaging and has transformed our understanding of the brain by allowing us to visualize and measure brain activity. However, its application in medical imaging faces challenges related to:
Spatial Resolution
Scan time
Limitations to the the variety of task paradigms within a single session
As an enabling technology for clinical functional MRI, MP-PCA is capable of boosting the signal-to-noise ratio (SNR) commensurate with the number of temporal frames in the fMRI time-series. The extra SNR provided by MP-PCA can be strategically utilized to mitigate issues stated above.
Task-Based FMRI
We demonstrate the feasibility of measuring cortical activation from a sentence completion task using MP-PCA. Areas of activation are shown for Z>3, no spatial filtering was applied to calculate activation z-scores.[2,4,5]
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