Journal article
3D Slicer as an image computing platform for the Quantitative Imaging Network
Magnetic resonance imaging, Vol.30(9), pp.1323-1341
11/2012
DOI: 10.1016/j.mri.2012.05.001
PMCID: PMC3466397
PMID: 22770690
Abstract
Quantitative analysis has tremendous but mostly unrealized potential in healthcare to support objective and accurate interpretation of the clinical imaging. In 2008, the National Cancer Institute began building the Quantitative Imaging Network (QIN) initiative with the goal of advancing quantitative imaging in the context of personalized therapy and evaluation of treatment response. Computerized analysis is an important component contributing to reproducibility and efficiency of the quantitative imaging techniques. The success of quantitative imaging is contingent on robust analysis methods and software tools to bring these methods from bench to bedside.
3D Slicer is a free open-source software application for medical image computing. As a clinical research tool, 3D Slicer is similar to a radiology workstation that supports versatile visualizations but also provides advanced functionality such as automated segmentation and registration for a variety of application domains. Unlike a typical radiology workstation, 3D Slicer is free and is not tied to specific hardware. As a programming platform, 3D Slicer facilitates translation and evaluation of the new quantitative methods by allowing the biomedical researcher to focus on the implementation of the algorithm and providing abstractions for the common tasks of data communication, visualization and user interface development. Compared to other tools that provide aspects of this functionality, 3D Slicer is fully open source and can be readily extended and redistributed. In addition, 3D Slicer is designed to facilitate the development of new functionality in the form of 3D Slicer extensions.
In this paper, we present an overview of 3D Slicer as a platform for prototyping, development and evaluation of image analysis tools for clinical research applications. To illustrate the utility of the platform in the scope of QIN, we discuss several use cases of 3D Slicer by the existing QIN teams, and we elaborate on the future directions that can further facilitate development and validation of imaging biomarkers using 3D Slicer.
Details
- Title: Subtitle
- 3D Slicer as an image computing platform for the Quantitative Imaging Network
- Creators
- Andriy Fedorov - Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USAReinhard Beichel - University of Iowa, Iowa City, IA 52242, USAJayashree Kalpathy-Cramer - Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USAJulien Finet - Kitware Inc, Clifton Park, NY 12065, USAJean-Christophe Fillion-Robin - Kitware Inc, Clifton Park, NY 12065, USASonia Pujol - Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USAChristian Bauer - University of Iowa, Iowa City, IA 52242, USADominique Jennings - Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USAFiona Fennessy - Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USAMilan Sonka - University of Iowa, Iowa City, IA 52242, USAJohn Buatti - University of Iowa, Iowa City, IA 52242, USAStephen Aylward - Kitware Inc, Clifton Park, NY 12065, USAJames V Miller - GE Research, Niskayuna, NY 12309, USASteve Pieper - Isomics, Inc., Cambridge, MA 02138, USARon Kikinis - Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Resource Type
- Journal article
- Publication Details
- Magnetic resonance imaging, Vol.30(9), pp.1323-1341
- DOI
- 10.1016/j.mri.2012.05.001
- PMID
- 22770690
- PMCID
- PMC3466397
- NLM abbreviation
- Magn Reson Imaging
- ISSN
- 0730-725X
- eISSN
- 1873-5894
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 11/2012
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Neurosurgery; Otolaryngology; Ophthalmology and Visual Sciences
- Record Identifier
- 9984040008102771
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