Journal article
SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research
Cancer research (Chicago, Ill.), Vol.77(21), pp.e101-e103
2017
DOI: 10.1158/0008-5472.CAN-17-0332
PMCID: PMC5679308
PMID: 29092950
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.
Details
- Title: Subtitle
- SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research
- Creators
- Isaiah Norton - Brigham and Women's HospitalIbn Essayed - Brigham and Women's HospitalFan Zhang - Brigham and Women's HospitalSonia Pujol - Brigham and Women's HospitalAlex Yarmarkovich - Isomics, Inc., Cambridge, Massachusetts.Alexandra Golby - Brigham and Women's HospitalGordon Kindlmann - University of ChicagoDemian Wassermann - Institut national de recherche en sciences et technologies du numériqueRaul San José Estepar - Brigham and Women's HospitalYogesh Rathi - Brigham and Women's HospitalSteve Pieper - Isomics, Inc., Cambridge, Massachusetts.Ron Kikinis - Brigham and Women's HospitalHans Johnson - University of IowaCarl-Fredrik Westin - Brigham and Women's HospitalLauren O'Donnell - Brigham and Women's Hospital
- Resource Type
- Journal article
- Publication Details
- Cancer research (Chicago, Ill.), Vol.77(21), pp.e101-e103
- DOI
- 10.1158/0008-5472.CAN-17-0332
- PMID
- 29092950
- PMCID
- PMC5679308
- NLM abbreviation
- Cancer Res
- ISSN
- 0008-5472
- eISSN
- 1538-7445
- Publisher
- American Association for Cancer Research
- Grant note
- DOI: 10.13039/100000002, name: NIH NCI ITCR, award: U01CA199459; DOI: 10.13039/100000002, name: NIH, award: P41EB015898; DOI: 10.13039/100000002, name: NIH, award: P41EB015902; DOI: 10.13039/100000002, name: NIH, award: NIH R01MH074794, NIH R01MH097979, NIH U54EB005149
- Language
- English
- Date published
- 2017
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Psychiatry
- Record Identifier
- 9984185364802771
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