A Custom-Built Intravoxel Incoherent Motion Diffusion Magnetic Resonance Imaging Tool for Renal Transplant Assessment: A Modular Graphical User Interface for Quantitative Biomarker Extraction.

OBJECTIVES: In this study, we present a custom -developed, Python -based graphical user interface designed to address the limitations of existing software in region of interest manipulation and fitting algorithm flexibility for intravoxel incoherent motion magnetic resonance imaging analysis, specifically for evaluation of renal grafts and donor organs.

MATERIALS AND METHODS: We developed a modular tool compatible with DICOM -formatted diffusion -weighted magnetic resonance imaging data. The software incorporates multiple fitting models, including monoexponential, biexponential (free and segmented ), and Bayesian inference approaches. The software supports versatile region of interest drawing tools (freehand, elliptical, and polygonal ) and generates pixel -level parametric maps and baseline -normalized signal decay curves.

RESULTS: The developed software interface successfully allowed voxel -wise and region of interest -based analysis of intravoxel incoherent motion parameters (D, D *, f ). The interface also provided visual quality assessment through parametric maps and exported comprehensive data to spreadsheets. Preliminary observations with medical professionals indicated that the software offers superior control over area selection and a more intuitive workflow compared with existing open -source tools.

CONCLUSIONS: The proposed software offers a flexible, noninvasive solution for assessing kidney transplant recipients and healthy donors. The DICOM -native compatibility and flexible analysis features of the software make it a suitable tool for prospective clinical trials focused on monitoring graft function and identifying early dysfunction.