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SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research
Journal article   Open access   Peer reviewed

SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research

Isaiah Norton, Ibn Essayed, Fan Zhang, Sonia Pujol, Alex Yarmarkovich, Alexandra Golby, Gordon Kindlmann, Demian Wassermann, Raul San José Estepar, Yogesh Rathi, …
Cancer research (Chicago, Ill.), Vol.77(21), pp.e101-e103
2017
DOI: 10.1158/0008-5472.CAN-17-0332
PMCID: PMC5679308
PMID: 29092950
url
https://doi.org/10.1158/0008-5472.CAN-17-0332View
Published (Version of record) Open Access

Abstract

Diffusion magnetic resonance imaging (dMRI) is the only non-invasive method for mapping white matter connections in the brain. We describe SlicerDMRI, a software suite that enables visualization and analysis of dMRI for neuroscientific studies and patient-specific anatomical assessment. SlicerDMRI has been successfully applied in multiple studies of the human brain in health and disease, and here we especially focus on its cancer research applications. As an extension module of the 3D Slicer medical image computing platform, the SlicerDMRI suite enables dMRI analysis in a clinically relevant multimodal imaging workflow. Core SlicerDMRI functionality includes diffusion tensor estimation, white matter tractography with single and multi-fiber models, and dMRI quantification. SlicerDMRI supports clinical DICOM and research file formats, is open-source and cross-platform, and can be installed as an extension to 3D Slicer (www.slicer.org). More information, videos, tutorials, and sample data are available at dmri.slicer.org.
Physics Biological Physics

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