Journal article
SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization
JCO clinical cancer informatics, Vol.4(4), pp.299-309
03/2020
DOI: 10.1200/CCI.19.00141
PMCID: PMC7113081
PMID: 32216636
Abstract
We present SlicerDMRI, an open-source software suite that enables research using diffusion magnetic resonance imaging (dMRI), the only modality that can map the white matter connections of the living human brain. SlicerDMRI enables analysis and visualization of dMRI data and is aimed at the needs of clinical research users. SlicerDMRI is built upon and deeply integrated with 3D Slicer, a National Institutes of Health-supported open-source platform for medical image informatics, image processing, and three-dimensional visualization. Integration with 3D Slicer provides many features of interest to cancer researchers, such as real-time integration with neuronavigation equipment, intraoperative imaging modalities, and multimodal data fusion. One key application of SlicerDMRI is in neurosurgery research, where brain mapping using dMRI can provide patient-specific maps of critical brain connections as well as insight into the tissue microstructure that surrounds brain tumors.
In this article, we focus on a demonstration of SlicerDMRI as an informatics tool to enable end-to-end dMRI analyses in two retrospective imaging data sets from patients with high-grade glioma. Analyses demonstrated here include conventional diffusion tensor analysis, advanced multifiber tractography, automated identification of critical fiber tracts, and integration of multimodal imagery with dMRI.
We illustrate the ability of SlicerDMRI to perform both conventional and advanced dMRI analyses as well as to enable multimodal image analysis and visualization. We provide an overview of the clinical rationale for each analysis along with pointers to the SlicerDMRI tools used in each.
SlicerDMRI provides open-source and clinician-accessible research software tools for dMRI analysis. SlicerDMRI is available for easy automated installation through the 3D Slicer Extension Manager.
Details
- Title: Subtitle
- SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization
- Creators
- Fan Zhang - Brigham and Women's HospitalThomas Noh - Brigham and Women's HospitalParikshit Juvekar - Brigham and Women's HospitalSarah F Frisken - Brigham and Women's HospitalLaura Rigolo - Brigham and Women's HospitalIsaiah Norton - Brigham and Women's HospitalTina Kapur - Brigham and Women's HospitalSonia Pujol - Brigham and Women's HospitalWilliam Wells III - Massachusetts Institute of TechnologyAlex Yarmarkovich - Isomics, Cambridge, MA.Gordon Kindlmann - University of ChicagoDemian Wassermann - Université Paris-SaclayRaul San Jose Estepar - Brigham and Women's HospitalYogesh Rathi - Brigham and Women's HospitalRon Kikinis - University of BremenHans J Johnson - University of IowaCarl-Fredrik Westin - Brigham and Women's HospitalSteve Pieper - Isomics, Cambridge, MA.Alexandra J Golby - Brigham and Women's HospitalLauren J O'Donnell - Brigham and Women's Hospital
- Resource Type
- Journal article
- Publication Details
- JCO clinical cancer informatics, Vol.4(4), pp.299-309
- DOI
- 10.1200/CCI.19.00141
- PMID
- 32216636
- PMCID
- PMC7113081
- NLM abbreviation
- JCO Clin Cancer Inform
- ISSN
- 2473-4276
- eISSN
- 2473-4276
- Grant note
- U54 EB005149 / NIBIB NIH HHS R01 MH097979 / NIMH NIH HHS R01 MH119222 / NIMH NIH HHS R01 EB027134 / NIBIB NIH HHS R01 CA235589 / NCI NIH HHS P41 EB015898 / NIBIB NIH HHS R01 MH074794 / NIMH NIH HHS P41 EB015902 / NIBIB NIH HHS U01 CA199459 / NCI NIH HHS
- Language
- English
- Date published
- 03/2020
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Psychiatry
- Record Identifier
- 9984185470402771
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