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Amsterdam UMC Flow Processing Tool

a Matlab-based app for all-in-one 4D flow MRI processing, measurements, and visualizations

This tool is based off a previously published post-processing software. Use of this tool should be associated and cited with the following reference: E. Schrauben, A. Wåhlin, K. Ambarki, E. Spaak, J. Malm, O. Wieben, A. Eklund. “Fast 4D flow MRI intracranial segmentation and quantification in tortuous arteries.” JMRI 2015, doi: 10.1002/jmri.24900.

Installation: This tool is built using Matlab's appdesigner functionality. It was built using Matlab version 2021a; it is therefore recommended to use this version or newer for running this tool. Download and unzip the files. All functionality is built into FlowProcessing.m file and the corresponding utilities/ subfolder.

Additionally, the use of this software requires the following Matlab toolboxes:

  • Signal Processing Toolbox
  • Image Processing Toolbox
  • Statistics and Machine Learning Toolbox
  • Computer Vision Toolbox

Data needed: The tool works directly on reconstructed .par / .rec files from a Philips 4D flow acquisition. It assumes these are all located within a single folder. The files needed are as follows: SUBJECTID or other identifier_1.par, SUBJECTID or other identifier_1.rec SUBJECTID or other identifier_2.par, SUBJECTID or other identifier_2.rec SUBJECTID or other identifier_3.par, SUBJECTID or other identifier_3.rec

Getting Started: Within Matlab, navigate to the folder containing FlowProcessing.mlapp. Type this into your command window: FlowProcessing

User manual: For full explanation of the tool functionality, please refer to the markdown FlowProcessing User Manual

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Flow Processing app (Matlab) for PROUD 4D flow data

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