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Automated feature extraction across scanners for harmonization of diffusion MRI datasets

Small variations in diffusion MRI metrics between subjects are ubiquitous due to differences in scanner hardware and are entangled in the genuine biological variability between subjects, including abnormality due to disease. In this work, we propose …

Harmonization of diffusion MRI datasets using automated feature extraction from multiple scanners

Quantitative scalar measures of diffusion MRI datasets are subject to normal variability across subjects, but potentially abnormal values may yield essential information to support analysis of controls and patients cohorts. However, small changes in …

A separable least squares approach for intravoxel incoherent motion (IVIM) MRI

Intravoxel incoherent motion (IVIM) MRI allows measuring pseudo perfusion as an extension to diffusion weighted imaging (DWI) measures such as the apparent diffusion coefficient (ADC). Recent applications in oncology makes it an …

Cross-vendor and Cross-protocol harmonisation of diffusion MRI data: a comparative study

We present a comparison of five different methods that estimate mappings between scanners for diffusion MRI data harmonisation. The methods are evaluated on a dedicated dataset of the same subjects acquired on three distinct scanners with ‘standard' …

Investigating noise distribution changes after motion correction and its effects on subsequent diffusion MRI processing

The quantification of diffusion MRI assumes the absence of motion and anatomical correspondence between diffusion sensitizing factors. To investigate the impact of processing order between motion correction and two denoising methods, we evaluated DKI …

A unified framework for upsampling and denoising of diffusion MRI data

Diffusion MRI suffers from relatively long scan times and low signal to noise ratio (SNR), which limits the acquired spatial resolution. In this work, we propose a unified framework for denoising and upsampling diffusion datasets based on a sparse …

Combined upsampling and denoising for diffusion MRI data

Diffusion MRI suffers from relatively long scan times and low signal to noise ratio (SNR), which limits the acquired spatial resolution. In this work, we propose a unified framework for denoising and upsampling diffusion datasets based on a sparse …

A fast FFT based algorithm for spatial misalignment correction in along-tract group analysis

While it is acknowledged that diffusion MRI datasets should be corrected for artifacts in population studies, the same is also recommended for fiber bundle group analyses. As shown previously, along-tract based statistics offer a more …

Correcting spatial misalignment between fiber bundles segments for along-tract group analysis

Reference: St-Jean, S., M. Viergever, G.J. Biessels and A. Leemans. Correcting spatial misalignment between fiber bundles segments for along-tract group analysis Proceedings of: International Symposium on Magnetic Resonance in Medicine (ISMRM'16), 2016.

Denoised diffusion spectrum imaging of white matter tracts in the brain stem

High-angular resolution diffusion (HARDI) MRI, like diffusion spectrum imaging-DSI, provides an attractive tool to investigate the complex white matter structure in the brainstem. However, due to the application of high b-values in the HARDI image …