SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research

Isaiah Norton (1) , Ibn Essayed (1) , Fan Zhang (1) , Sonia Pujol (1) , Alex Yarmarkovich (2) , Alexandra J Golby (1) , Gordon Kindlmann (3) , Demian Wassermann (4, 5) , Raul San José Estepar (1) , Yogesh Rathi (1) , Steve Pieper (2) , Ron Kikinis (1) , Hans J Johnson (6) , Carl-Fredrik Westin (1) , Lauren J. O'Donnell (1)

1 Brigham and Women's Hospital [Boston]
2 Isomics Inc.[Cambridge]
3 Department of Computer Science, University of Chicago
4 ATHENA - Computational Imaging of the Central Nervous System
5 COMUE UCA - COMUE Université Côte d'Azur (2015-2019)
6 University of Iowa [Iowa City]

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.

Mots clés: Software; Diffusion MRI; Cancer

Domaines: Biophysique [physics.bio-ph]

Isaiah Norton, Ibn Essayed, Fan Zhang, Sonia Pujol, Alex Yarmarkovich, et al.. SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research. Cancer Research, 2017, ⟨10.1158/0008-5472.CAN-17-0332⟩. ⟨hal-01564088⟩