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 49 articles )

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  1. Aaron Bray, Rachel B. Clipp, M. Umar Qureshi, Sorin Mitran, Andinet Enquobahrie: gLBM: A GPU enabled Lattice Boltzmann Method Library (2022) not zbMATH
  2. Stefan Zellmann, Giovanni Aguirre, Jürgen P. Schulze: Volkit: A Performance-Portable Computer Vision Library for 3D Volumetric Data (2022) arXiv
  3. Alberto Gomez: MIPROT: A Medical Image Processing Toolbox for MATLAB (2021) arXiv
  4. Konrad Werys; Iulius Dragonu; Qiang Zhang; Iulia Popescu; Evan Hann; Henrike Puchta; Agata Kubik; Dogan Polat; Cody Wu; Niall O. Moon; Ahmet Barutcu; Vanessa M. Ferreira; Stefan K. Piechnik: Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping (2020) not zbMATH
  5. Ruman Gerst; Anna Medyukhina; Marc Thilo Figge: MISA++: A standardized interface for automated bioimage analysis (2020) not zbMATH
  6. Mang, Andreas; Gholami, Amir; Davatzikos, Christos; Biros, George: CLAIRE: a distributed-memory solver for constrained large deformation diffeomorphic image registration (2019)
  7. Richard Beare; Bradley Lowekamp; Ziv Yaniv: Image Segmentation, Registration and Characterization in R with SimpleITK (2018) not zbMATH
  8. 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)
  9. Du, Xiaogang; Dang, Jianwu; Wang, Yangping; Wang, Song; Lei, Tao: A parallel nonrigid registration algorithm based on B-spline for medical images (2016)
  10. 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)
  11. Muders, Jens: Geometrical calibration and filter optimization for cone-beam computed tomography (2015)
  12. Foteinos, Panagiotis A.; Chernikov, Andrey N.; Chrisochoides, Nikos P.: Guaranteed quality tetrahedral Delaunay meshing for medical images (2014)
  13. Ušinskas, Andrius; Meilūnas, Mečislavas; Paulinas, Mantas; Miniotas, Darius; Zakarkaitė, Diana; Matačūnas, Mindaugas; Zeleckienė, Ingrida; Ušinskienė, Jurgita; Laucevičius, Aleksandras: Computing volume of the Heart’s right ventricle using 2D echocardiography images (2014)
  14. Sagan, Jarosław: Stereoscopic video chroma key processing using NVIDIA CUDA (2013) ioport
  15. Smołka, Jakub; Skublewska-Paszkowska, Maria: Semi-automatic watershed merging method (2013) ioport
  16. Spieler, C.; Kästner, M.; Goldmann, J.; Brummund, J.; Ulbricht, V.: XFEM modeling and homogenization of magnetoactive composites (2013)
  17. Yeo, Si Yong; Xie, Xianghua; Sazonov, Igor; Nithiarasu, Perumal: Segmenting carotid in CT using geometric potential field deformable model (2013)
  18. Zhao, F.; Van Wachem, B. G. M.: A novel quaternion integration approach for describing the behaviour of non-spherical particles (2013)
  19. Calliess, Jan-P.; Mai, Michael; Pfeiffer, Sebastian: On the computational benefit of tensor separation for high-dimensional discrete convolutions (2012)
  20. Legrain, G.; Chevaugeon, N.; Dréau, K.: High order X-FEM and levelsets for complex microstructures: uncoupling geometry and approximation (2012)

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