RAPID: a Routine Assurance Pipeline for Imaging of Diffusion

Versione 1.2.0.0 (27,5 KB) da Silvia
uses diffusion MRI data for Quality Assurance of diffusion acquisitions
754 download
Aggiornato 5 lug 2012

Visualizza la licenza

RAPID: a Routine Assurance Pipeline for Imaging of Diffusion - De Santis et al. (submitted)

script_to_calculate_SNR calculates the signal-to-noise ratio and returns the optimal parameters for acquiring QA data.
_Input: nifti files of 100 b=0 images
_Output: max b-value and voxel size

script_to_run_QA checks for the linearity of b, the uniformity of Gmax across the field-of-view, the mutual agreement of gradient power across the three logical axes and corrects for gradient mismatches.
_Input: nifti files of diffusion data on phantom acquired using the gradient table Grad_dirs_QA_shuffled.txt
_Output: .mat file of QA with date

script_to_compare_QA_results checks for temporal stability.
_Input: two .mat files of QA results

Cita come

Silvia (2024). RAPID: a Routine Assurance Pipeline for Imaging of Diffusion (https://www.mathworks.com/matlabcentral/fileexchange/36463-rapid-a-routine-assurance-pipeline-for-imaging-of-diffusion), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2010b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Riconoscimenti

Ispirato da: Tools for NIfTI and ANALYZE image

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versione Pubblicato Note della release
1.2.0.0

4 Jul 2012 - correction for imaging gradients, to be used with the same geometry of the actual scan to be corrected

1.1.0.0

UPDATE: included a tool to account for imaging gradients in the b-matrix calculation

1.0.0.0