ITK

Welcome to the National Library of Medicine Insight Segmentation and Registration Toolkit (ITK). ITK is an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data. The goals for ITK include: Supporting the Visible Human Project. Establishing a foundation for future research. Creating a repository of fundamental algorithms. Developing a platform for advanced product development. Support commercial application of the technology. Create conventions for future work. Grow a self-sustaining community of software users and developers.


References in zbMATH (referenced in 31 articles )

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  1. Du, Xiaogang; Dang, Jianwu; Wang, Yangping; Wang, Song; Lei, Tao: A parallel nonrigid registration algorithm based on B-spline for medical images (2016)
  2. Linsen, Lars (ed.); Hamann, Bernd (ed.); Hege, Hans-Christian (ed.): Visualization in medicine and life sciences III. Towards making an impact. Selected papers based on the presentations at the third international workshop, VMLS, Leipzig, Germany, June 16--18, 2013 (2016)
  3. Muders, Jens: Geometrical calibration and filter optimization for cone-beam computed tomography (2015)
  4. Lian, W.D.; Legrain, G.; Cartraud, P.: Image-based computational homogenization and localization: comparison between X-FEM/levelset and voxel-based approaches (2013)
  5. Spieler, C.; Kästner, M.; Goldmann, J.; Brummund, J.; Ulbricht, V.: XFEM modeling and homogenization of magnetoactive composites (2013)
  6. Yeo, Si Yong; Xie, Xianghua; Sazonov, Igor; Nithiarasu, Perumal: Segmenting carotid in CT using geometric potential field deformable model (2013)
  7. Zhao, F.; Van Wachem, B.G.M.: A novel quaternion integration approach for describing the behaviour of non-spherical particles (2013)
  8. Calliess, Jan-P.; Mai, Michael; Pfeiffer, Sebastian: On the computational benefit of tensor separation for high-dimensional discrete convolutions (2012)
  9. Ito, Yasushi; Cheng, Gary C.; Shih, Alan M.; Koomullil, Roy P.; Soni, Bharat K.; Sittitavornwong, Somsak; Waite, Peter D.: Patient-specific geometry modeling and mesh generation for simulating obstructive sleep apnea syndrome cases by maxillomandibular advancement (2011)
  10. So, Ronald W.K.; Tang, Tommy W.H.; Chung, Albert C.S.: Non-rigid image registration of brain magnetic resonance images using graph-cuts (2011) ioport
  11. Yang, Jinzhong; Williams, James P.; Sun, Yiyong; Blum, Rick S.; Xu, Chenyang: A robust hybrid method for nonrigid image registration (2011)
  12. Amri, Slim; Barhoumi, Walid; Zagrouba, Ezzeddine: A robust framework for joint background/foreground segmentation of complex video scenes filmed with freely moving camera (2010) ioport
  13. Bilgin, Cemal Cagatay; Bullough, Peter; Plopper, George E.; Yener, Bülent: ECM-aware cell-graph mining for bone tissue modeling and classification (2010) ioport
  14. Brooks, Rupert; Arbel, Tal: Generalizing inverse compositional and ESM image alignment (2010) ioport
  15. González, Javier; Arévalo, Vicente: Mesh topological optimization for improving piecewise-linear image registration (2010) ioport
  16. Han, Seunghyun; Nijdam, Niels A.; Schmid, Jér^ome; Kim, Jinman; Magnenat-Thalmann, Nadia: Collaborative telemedicine for interactive multiuser segmentation of volumetric medical images (2010) ioport
  17. He, Zhenyu; Chung, Albert C.S.: 3-D B-spline wavelet-based local standard deviation (BWLSD): its application to edge detection and vascular segmentation in magnetic resonance angiography (2010) ioport
  18. Joshi, Niranjan; Brady, Michael: Non-parametric mixture model based evolution of level sets and application to medical images (2010) ioport
  19. Quatember, Bernhard; Mayr, Martin; Recheis, Wolfgang; Demertzis, Stefanos; Allasia, Giampietro; De Rossi, Alessandra; Cavoretto, Roberto; Venturino, Ezio: Geometric modeling and motion analysis of the epicardial surface of the heart (2010)
  20. Sun, Zhaohui; Hoogs, Anthony: Image comparison by compound disjoint information with applications to perceptual visual quality assessment, image registration and tracking (2010) ioport

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