Keywords: Software Tools, DSC & DCE Perfusion
Motivation: Processing dynamic contrast-enhanced (DCE) MRI involves several preprocessing steps, making it very time-consuming and challenging to achieve consistency and reproducibility.
Goal(s): To develop an automated software pipeline for processing DCE MRI images, enhancing both the speed and consistency of DCE data processing.
Approach: We developed a DCE pipeline with preprocessing steps for motion correction, bias field removal, automatic arterial input function (AIF) selection, image alignment, z-slice normalization, segmentation, and quality control report generation.
Results: The pipeline successfully processed 400 out of 407 cases, showing significant reductions in population standard deviations for Ktrans values in gray and white matter, and AIF quality scores.
Impact: This software will facilitate more reproducible and consistent DCE processing across a variety of imaging sites and research labs.
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