ITK-SNAP: Difference between revisions
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{{Notability|date=October 2007}} |
{{Notability|date=October 2007}} |
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ITK-SNAP is an [[open-source]] software application for medical image [[Segmentation (image processing)|segmentation]]. It's primary use is for delineating anatomical structures and regions in [[MRI]], [[Computed Tomography|CT]] and other three-dimensional medical images |
ITK-SNAP is an [[open-source]] software application for medical image [[Segmentation (image processing)|segmentation]]. It's primary use is for delineating anatomical structures and regions in [[MRI]], [[Computed Tomography|CT]] and other three-dimensional medical images. |
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<ref name=Spangler2007>{{cite journal |
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| author = Spangler, E.L. |
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| coauthors = Brown, C.; Roberts, J.A.; Chapman, B.E. |
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| year = 2007 |
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| title = Evaluation of internal carotid artery segmentation by InsightSNAP |
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| journal = Proceedings of SPIE |
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| volume = 6512 |
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| pages = 65123F |
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| url = http://link.aip.org/link/?PSISDG/6512/65123F/1 |
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| accessdate = 2007-11-08 |
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}}</ref> |
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ITK-SNAP can be used in two modes. The first mode is manual delineation, where the user traces the boundaries of structures in three orthogonal slice planes through the medical image. The second mode is automatic segmentation, which uses the [[level set method]]. The user places one or more seeds in the image, and seeds grow constrained by intensity edges in the image. In [[neuroimaging]], ITK-SNAP is used to segment the [[hippocampus]] (in manual mode), [[ventricular system|ventricles]] (in automatic mode), [[caudate nucleus]] (automatic mode with manual touchup), and many other structures of interest. |
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==History== |
==History== |
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Revision as of 03:18, 8 November 2007
 | The topic of this article may not meet Wikipedia's general notability guideline. (October 2007) |
ITK-SNAP is an open-source software application for medical image segmentation. It's primary use is for delineating anatomical structures and regions in MRI, CT and other three-dimensional medical images. [1] ITK-SNAP can be used in two modes. The first mode is manual delineation, where the user traces the boundaries of structures in three orthogonal slice planes through the medical image. The second mode is automatic segmentation, which uses the level set method. The user places one or more seeds in the image, and seeds grow constrained by intensity edges in the image. In neuroimaging, ITK-SNAP is used to segment the hippocampus (in manual mode), ventricles (in automatic mode), caudate nucleus (automatic mode with manual touchup), and many other structures of interest.
History
ITK-SNAP was developed by image analysis researchers at the University of Pennsylvania and University of North Carolina at Chapel Hill. Development began at UNC-CH as a series of graduate student projects in the Computer Science Department. Subsequent development was funded by the National Library of Medicine and performed at the PICSL group [1] at the Department of Radiology at the University of Pennsylvania.
External Links
- Main ITK-SNAP website (downloads, bugs, mailing lists)
- ITK-SNAP on Sourceforge
References
- ^ a b Spangler, E.L. (2007). "Evaluation of internal carotid artery segmentation by InsightSNAP". Proceedings of SPIE. 6512: 65123F. Retrieved 2007-11-08.
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