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 37 articles )

Showing results 1 to 20 of 37.
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  1. Richard Beare; Bradley Lowekamp; Ziv Yaniv: Image Segmentation, Registration and Characterization in R with SimpleITK (2018) not zbMATH
  2. Shim, Eungjune; Kim, Youngjun; Lee, Deukhee; Lee, Byung Hoon; Woo, Sungkyung; Lee, Kunwoo: 2D-3D registration for 3D analysis of lower limb alignment in a weight-bearing condition (2018)
  3. Du, Xiaogang; Dang, Jianwu; Wang, Yangping; Wang, Song; Lei, Tao: A parallel nonrigid registration algorithm based on B-spline for medical images (2016)
  4. 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)
  5. Muders, Jens: Geometrical calibration and filter optimization for cone-beam computed tomography (2015)
  6. Spieler, C.; Kästner, M.; Goldmann, J.; Brummund, J.; Ulbricht, V.: XFEM modeling and homogenization of magnetoactive composites (2013)
  7. Yeo, Si Yong; Xie, Xianghua; Sazonov, Igor; Nithiarasu, Perumal: Segmenting carotid in CT using geometric potential field deformable model (2013)
  8. Zhao, F.; Van Wachem, B. G. M.: A novel quaternion integration approach for describing the behaviour of non-spherical particles (2013)
  9. Calliess, Jan-P.; Mai, Michael; Pfeiffer, Sebastian: On the computational benefit of tensor separation for high-dimensional discrete convolutions (2012)
  10. Legrain, G.; Chevaugeon, N.; Dréau, K.: High order X-FEM and levelsets for complex microstructures: uncoupling geometry and approximation (2012)
  11. Brandon Whitcher; Volker Schmid: Quantitative Analysis of Dynamic Contrast-Enhanced and Diffusion-Weighted Magnetic Resonance Imaging for Oncology in R (2011) not zbMATH
  12. 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)
  13. 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
  14. Yang, Jinzhong; Williams, James P.; Sun, Yiyong; Blum, Rick S.; Xu, Chenyang: A robust hybrid method for nonrigid image registration (2011)
  15. 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
  16. Bilgin, Cemal Cagatay; Bullough, Peter; Plopper, George E.; Yener, Bülent: ECM-aware cell-graph mining for bone tissue modeling and classification (2010) ioport
  17. Brooks, Rupert; Arbel, Tal: Generalizing inverse compositional and ESM image alignment (2010) ioport
  18. González, Javier; Arévalo, Vicente: Mesh topological optimization for improving piecewise-linear image registration (2010) ioport
  19. 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
  20. 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

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