→Applications: cite fixes, removing redundant |year= parameter from CS1 citations
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{{Short description|Medical imaging software}} |
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{{Infobox software |
{{Infobox software |
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| name = ITK-SNAP |
| name = ITK-SNAP |
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| screenshot size = 260px |
| screenshot size = 260px |
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| caption = ITK-SNAP |
| caption = ITK-SNAP |
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| developer = [http://www.itksnap.org/credits.php |
| developer = [[Paul A. Yushkevich]], [[Guido Gerig]], and the [http://www.itksnap.org/credits.php researchers at UPenn, UNC, Utah, and Kitware] |
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| released = 2004 |
| released = 2004 |
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| programming language = [[C++]] |
| programming language = [[C++]] |
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ITK-SNAP has been applied in the following areas |
ITK-SNAP has been applied in the following areas |
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* Craniofacial pathologies and anatomical studies<ref name="Kauke and Safi">{{cite journal|last=Kauke|first=Martin Kauke and Ali-Farid Safi|date=January 2019|title=Image segmentation-based volume approximation - volume as a factor in the clinical management of osteolytic jaw lesions|journal=Dentomaxillofacial Radiology|volume=48|issue=1|pages=20180113|bibcode=2007SPIE.6512E..3FS|doi=10.1259/dmfr.20180113|pmid=30216090|pmc=6398913}}</ref> |
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**[[Keratocystic odontogenic tumour|KCOT]]<ref>{{cite journal |last1=Kauke |first1=Martin |journal=Journal of Cranio-Maxillofacial |
**[[Keratocystic odontogenic tumour|KCOT]]<ref>{{cite journal |last1=Kauke |first1=Martin |journal=Journal of Cranio-Maxillofacial Surgery |date=February 2018|title= Volumetric analysis of keratocystic odontogenic tumors and non-neoplastic jaw cysts – Comparison and its clinical relevance|volume=46 |issue=2 |pages=257–263 |doi=10.1016/j.jcms.2017.11.012 |pmid=29233700 }}</ref> |
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** [[Ameloblastoma]]<ref>{{cite journal |last1=Safi |first1=Ali-Farid |journal=Oral Oncology |date=2018|title= Does volumetric measurement serve as an imaging biomarker for tumor aggressiveness of ameloblastomas? |
** [[Ameloblastoma]]<ref>{{cite journal |last1=Safi |first1=Ali-Farid |journal=Oral Oncology |date=2018|title= Does volumetric measurement serve as an imaging biomarker for tumor aggressiveness of ameloblastomas?|volume=78 |issue=March 2018 |pages=16–24 |doi=10.1016/j.oraloncology.2018.01.002|pmid=29496045 }}</ref> |
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** [[Cysts]] |
** [[Cysts]] |
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** |
** Condyle Volumes |
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* [[Carotid artery]] segmentation<ref name=Spangler2007>{{cite journal |
* [[Carotid artery]] segmentation<ref name=Spangler2007>{{cite journal |
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|author = Spangler, E. L. |
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|author2 = Brown, C. |
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|author3 = Roberts, J. A. |
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|author4 = 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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|access-date = 2007-11-08 |
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|doi = 10.1117/12.709954 |
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|bibcode = 2007SPIE.6512E.120S |
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|issue = 5 |
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|s2cid = 43920829 |
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⚫ | |||
}}{{Dead link|date=January 2020 |bot=InternetArchiveBot |fix-attempted=yes }}</ref> |
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*[[Diffusion MRI]] Analysis<ref>{{Cite journal |
*[[Diffusion MRI]] Analysis<ref>{{Cite journal |
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* Target definition for cancer [[radiotherapy]] |
* Target definition for cancer [[radiotherapy]] |
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** [[lung cancer]] radiotherapy<ref name=Xiao2006>{{cite journal |
** [[lung cancer]] radiotherapy<ref name=Xiao2006>{{cite journal |
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|author = Xiao, Y. |
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|author2 = Werner-wasik, M. |
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|author3 = Curran, W. |
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|author4 = Galvin, J. |
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|year = 2006 |
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|title = SU-EE-A2-03: Evaluation of Auto-Segmentation Tools for the Target Definition for the Treatment of Lung Cancer |
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|journal = Medical Physics |
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|volume = 33 |
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|pages = 1992 |
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|url = http://link.aip.org/link/?MPHYA6/33/1992/4 |
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|access-date = 2007-11-08 |
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|doi = 10.1118/1.2240194 |
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|issue = 6 |
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|bibcode = 2006MedPh..33.1992X |
|bibcode = 2006MedPh..33.1992X |
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|archive-url = https://archive.today/20130223155539/http://link.aip.org/link/?MPHYA6/33/1992/4 |
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|archive-date = 2013-02-23 |
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|url-status = dead |
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⚫ | |||
* [[Prenatal]] Image Analysis |
* [[Prenatal]] Image Analysis |
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|author2=Pinto, V. |author3=Pintucci, A. |author4=Di Cagno, L. |
|author2=Pinto, V. |author3=Pintucci, A. |author4=Di Cagno, L. |
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| year = 2007 |
| year = 2007 |
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| title = OP13. 04: Accuracy of six sonographic signs in the prenatal |
| title = OP13. 04: Accuracy of six sonographic signs in the prenatal diagnosis of spina bifida |
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| journal = Ultrasound in Obstetrics and Gynecology |
| journal = Ultrasound in Obstetrics and Gynecology |
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| volume = 30 |
| volume = 30 |
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| issue = 4 |
| issue = 4 |
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| pages = 498 |
| pages = 498 |
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| url = http://www.ingentaconnect.com/content/jws/uog/2007/00000030/00000004/art00428 |
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| accessdate = 2007-11-08 |
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| doi = 10.1002/uog.4534 |
| doi = 10.1002/uog.4534 |
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| doi-access = free |
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}}</ref> |
}}</ref> |
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* [[Virtual reality]] in Medicine<ref name=Rizzi2007>{{cite conference |
* [[Virtual reality]] in Medicine<ref name=Rizzi2007>{{cite conference |
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| author = Rizzi, S.H. |author2=Banerjee, P. P. |author3=Luciano, C. J. |
| author = Rizzi, S.H. |author2=Banerjee, P. P. |author3=Luciano, C. J. |
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| year = 2007 |
| year = 2007 |
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| title = Automating the Extraction of 3D Models from Medical Images for Virtual Reality and Haptic Simulations |
| title = Automating the Extraction of 3D Models from Medical Images for Virtual Reality and Haptic Simulations |
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⚫ | | book-title = Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on |
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| conference = |
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| pages = 152–157 |
| pages = 152–157 |
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|doi=10.1109/COASE.2007.4341748 }}</ref> |
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| url = http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4341748 |
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| conferenceurl = |
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}}</ref> |
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* Orthodontics<ref name=Cavidanes2006>{{cite journal |
* Orthodontics<ref name=Cavidanes2006>{{cite journal |
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| author = Cavidanes, L. H. |author2=Styner, M. |author3=Proffit, W. R. |
| author = Cavidanes, L. H. |author2=Styner, M. |author3=Proffit, W. R. |
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}}</ref> |
}}</ref> |
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* [[Brain morphometry]] |
* [[Brain morphometry]] |
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** |
**[[Corpus callosum]] and [[Ventricular system|ventricle]] analysis in [[22q11.2 deletion syndrome]]<ref>{{Cite journal |
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| title = Corpus callosum morphology and ventricular size in chromosome 22q11.2 deletion syndrome |
| title = Corpus callosum morphology and ventricular size in chromosome 22q11.2 deletion syndrome |
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| year = 2007 |
| year = 2007 |
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| doi = 10.1016/j.brainres.2006.10.082 |
| doi = 10.1016/j.brainres.2006.10.082 |
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| pmid = 17169351 |
| pmid = 17169351 |
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| pmc = 1802103 }}</ref> |
| pmc = 1802103 }}</ref> |
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** [[Hippocampus]] size and shape measurement in neurodegenerative disorders.<ref>{{Cite journal |
** [[Hippocampus]] size and shape measurement in neurodegenerative disorders.<ref>{{Cite journal |
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| title = Brain mapping as a tool to study neurodegeneration |
| title = Brain mapping as a tool to study neurodegeneration |
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| doi = 10.1016/j.neuroimage.2005.12.061 |
| doi = 10.1016/j.neuroimage.2005.12.061 |
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| pmid = 16513371 |
| pmid = 16513371 |
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}}</ref> |
|s2cid=5554390 }}</ref> |
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**Human brain tumors (e.g., Meningioma)<ref>{{Cite journal|url=https://journals.lww.com/jcraniofacialsurgery/Fulltext/2019/12000/Does_Meningioma_Volume_Correlate_With_Clinical.144.aspx|doi = 10.1097/SCS.0000000000005845|title = Does Meningioma Volume Correlate with Clinical Disease Manifestation Irrespective of Histopathologic Tumor Grade?|year = 2019|last1 = Kauke|first1 = Martin|last2 = Safi|first2 = Ali-Farid|last3 = Stavrinou|first3 = Pantelis|last4 = Krischek|first4 = Boris|last5 = Goldbrunner|first5 = Roland|last6 = Timmer|first6 = Marco|journal = Journal of Craniofacial Surgery|volume = 30|issue = 8|pages = e799–e802|pmid = 31633669|s2cid = 204813108}}</ref> |
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==References== |
==References== |
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==External links== |
==External links== |
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* [http://itksnap.org Main ITK-SNAP website] (downloads, bugs, mailing lists) |
* [http://itksnap.org Main ITK-SNAP website] (downloads, bugs, mailing lists) |
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* [http://sourceforge.net/projects/itk-snap ITK-SNAP on [[SourceForge |
* [http://sourceforge.net/projects/itk-snap ITK-SNAP] on [[SourceForge]] |
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{{Image processing software}} |
{{Image processing software}} |
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{{Free healthcare software}} |
{{Free healthcare software}} |
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{{DEFAULTSORT:Itk-Snap}} |
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[[Category:Medical software]] |
[[Category:Medical software]] |
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[[Category:Free |
[[Category:Free health care software]] |
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[[Category:Free bioimaging software]] |
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[[Category:Free DICOM software]] |
[[Category:Free DICOM software]] |
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ITK-SNAP
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Developer(s) | Paul A. Yushkevich, Guido Gerig, and the researchers at UPenn, UNC, Utah, and Kitware |
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Initial release | 2004 |
Written in | C++ |
Platform | Cross-platform |
Available in | English |
Type | Health software |
License | GNU General Public License |
Website | http://www.itksnap.org |
ITK-SNAP is an interactive software application that allows users to navigate three-dimensional medical images, manually delineate anatomical regions of interest, and perform automatic image segmentation. The software was designed with the audience of clinical and basic science researchers in mind, and emphasis has been placed on having a user-friendly interface and maintaining a limited feature set to prevent feature creep. ITK-SNAP is most frequently used to work with magnetic resonance imaging (MRI), cone-beam computed tomography (CBCT) and computed tomography (CT) data sets.
The purpose of the tool is to make it easy for researchers to delineate anatomical structures and regions of interest in imaging data. The set of features is kept to a minimum. The main features of the program are
ITK-SNAP is open-source software distributed under the GNU General Public License. It is written in C++ and it leverages the Insight Segmentation and Registration Toolkit (ITK) library. ITK-SNAP can read and write a variety of medical image formats, including DICOM, NIfTI, and Mayo Analyze. It also offers limited support for multi-component (e.g., diffusion tensor imaging) and multi-variate imaging data.
ITK-SNAP has been applied in the following areas
Image processing software
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Proprietary |
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