Difference between revisions of "Special:Badtitle/NS100:Introduction"
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Slicer started as a masters thesis project between the Surgical Planning Laboratory at the Brigham and Women's Hospital and the MIT Artificial Intelligence Laboratory in 1998. Today, Slicer2 has been downloaded many thousand times. A variety of [http://wiki.na-mic.org/Wiki/index.php/Slicer:Feedback publications] were enabled by the Slicer software. A new, completely rearchitected version of Slicer was developed and has been released in 2007. | Slicer started as a masters thesis project between the Surgical Planning Laboratory at the Brigham and Women's Hospital and the MIT Artificial Intelligence Laboratory in 1998. Today, Slicer2 has been downloaded many thousand times. A variety of [http://wiki.na-mic.org/Wiki/index.php/Slicer:Feedback publications] were enabled by the Slicer software. A new, completely rearchitected version of Slicer was developed and has been released in 2007. | ||
| − | This massive effort has been enabled by the participation of several large scale NIH funded efforts, including the [http://www.na-mic.org | + | This massive effort has been enabled by the participation of several large scale NIH funded efforts, including the [http://www.na-mic.org NA-MIC], [http://nac.spl.harvard.edu/ NAC], [http://www.nbirn.net BIRN], [http://www.cimit.org CIMIT] and [http://www.ncigt.org NCIGT] communities. The funding support comes from several federal funding sources including [http://www.ncrr.nih.gov NCRR], [http://www.nibib.nih.gov NIBIB], [http://nihroadmap.nih.gov NIH Roadmap], [http://www.cancer.gov NCI], [http://www.nsf.gov NSF] and the [http://www.defenselink.mil/ DOD] as well as others. |
Portal pages on this website have been designed for [[Projects/slicerWeb:UserOrientation |end users]] or [[Projects/slicerWeb:DeveloperOrientation| developers]]. Some of the core functionality that enables the applications listed above include the capability to save and restore scences using a format called MRML, a plug-in archtecture to interface to external programs including ITK, a sophisticated statistical classification environment based on the EM algorithm, capabilities for rigid and non-rigid data fusion and registration, and processing of DTI MRI data. | Portal pages on this website have been designed for [[Projects/slicerWeb:UserOrientation |end users]] or [[Projects/slicerWeb:DeveloperOrientation| developers]]. Some of the core functionality that enables the applications listed above include the capability to save and restore scences using a format called MRML, a plug-in archtecture to interface to external programs including ITK, a sophisticated statistical classification environment based on the EM algorithm, capabilities for rigid and non-rigid data fusion and registration, and processing of DTI MRI data. | ||
Revision as of 17:58, 27 September 2007
Introduction
Slicer, or 3D Slicer, is a free, open source software package for visualization and image analysis. 3D Slicer is natively designed to be available on multiple platforms, including Windows, Linux and Mac Os x.
Slicer's capabilities include:
- interactive visualization of images,
- manual editing,
- fusion and co-registering of data,
- automatic segmentation,
- analysis of diffuse tensor imaging data, and
- visualization of tracking information for image-guided procedures.
Slicer started as a masters thesis project between the Surgical Planning Laboratory at the Brigham and Women's Hospital and the MIT Artificial Intelligence Laboratory in 1998. Today, Slicer2 has been downloaded many thousand times. A variety of publications were enabled by the Slicer software. A new, completely rearchitected version of Slicer was developed and has been released in 2007.
This massive effort has been enabled by the participation of several large scale NIH funded efforts, including the NA-MIC, NAC, BIRN, CIMIT and NCIGT communities. The funding support comes from several federal funding sources including NCRR, NIBIB, NIH Roadmap, NCI, NSF and the DOD as well as others.
Portal pages on this website have been designed for end users or developers. Some of the core functionality that enables the applications listed above include the capability to save and restore scences using a format called MRML, a plug-in archtecture to interface to external programs including ITK, a sophisticated statistical classification environment based on the EM algorithm, capabilities for rigid and non-rigid data fusion and registration, and processing of DTI MRI data.
Slicer executables and source code are available under a BSD-style, free open source licensing agreement under which there are no reciprocity requirements, no restrictions on use, and no guarantees of performance. Slicer leverages a variety of toolkits and software methodologies that have been labeled the NA-MIC kit. Please click here to read more about the NA-MIC kit.
Slicer and Image-Guided Therapy
With IRB clinical protocols appropriately created and managed, Slicer has been used in clinical research. In image-guided therapy research, Slicer is frequently used to construct and visualize collections of MRI data that are available pre- and intraoperatively to allow for the acquiring of spatial coordinates for instrument tracking. In fact, Slicer has already played such a pivotal role in image-guided therapy, it could be thought of as growing up alongside that field.
In addition to producing 3D models from conventional MRI images, Slicer has also been used to present information derived from fMRI (using MRI to assess blood flow in the brain related to neural or spinal cord activity), DTI (using MRI to measure the restricted diffusion of water in imaged tissue), and electrocardiography. For example, Slicer's DTI package allows the conversion and analysis of DTI images. The results of such analysis can be integrated with the results from analysis of morphologic MRI, MR angiograms and fMRI.
