The ITK Software Guide

By Luis Ibáñez, W. Schroeder. 2005

721 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/48189f578bdd573b308b37621dc1fe747bb6d2a9

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Citations in the corpus

Glaucoma risk index: Automated glaucoma detection from color fundus images (2010, background): “In addition to the described feature types, B-spline coeﬃcients decode spatial frequency information as they are deﬁned by piecewise polynomials over a pixel neighborhood (Ibanez et with d denoting the degree of the central B-spline β d ( x, y ).”
The Medical Imaging Interaction Toolkit: challenges and advances (2013, methodology): “as decribed in the ITK Softwareguide [10], and added several enhancements.”
elastix: A Toolbox for Intensity-Based Medical Image Registration (2010, background): “The use of the ITK implies that the low-level functionality (image classes, memory allocation, etc.) is thoroughly tested.”
Histology image analysis for carcinoma detection and grading (2012, background): “X-ray, ultrasound, computed tomography (CT), and magnetic resonance image (MRI)) and cytology have been active research fields for several decades, and numerous systems [5,55,65,158] and products1,2,3 [72,90] have been developed.”
volBrain: An Online MRI Brain Volumetry System (2015, methodology): “The N4 method is recent and more eﬃcient and robust improvement of the N3 method (Sled et al., 1998), implemented as part of the ITK toolbox (Ibáñez et al., 2003).”
An Artificial Agent for Robust Image Registration (2016, methodology): “M1: ITK registration (Ibanez et al. 2005), a popular open source medical imaging library, where Mutual Information (MI) computed based on 50 bins for the histogram as proposed by (Mattes et al.”
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) (2015, methodology): “We used a rigid registration model with the mutual information similarity metric as it is implemented in ITK [74] (“VersorRigid3DTransform” with “MattesMutualInformation” similarity metric and three multi-resolution levels).”
Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization (2011, methodology): “The preprocessing is completely integrated with the SVM classiﬁcation and CRF regularization components using the Insight Toolkit for Segmentation and Registration (ITK) [4].”
Diffeomorphic demons: Efficient non-parametric image registration (2009, methodology): “To ease the reading of this manuscript, we omit it from the current discussion and refer the interested reader to (Vercauteren, 2008). in (Thirion, 1998), ITK refers to the implementation of the Insight Toolkit (Ibáñez et al., 2005), Diﬀeo.”
An approach to localize the retinal blood vessels using bit planes and centerline detection (2012, methodology): “The algorithm [58] was further improved by using the nsight segmentation and registration toolkit (ITK) [60].”
A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms (2009, methodology): “Toolkit [22], which is a dependency of the Vascular Modeling Toolkit (together with the Visualization Toolkit (VTK) [23]).”
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease (2013, methodology): “A command-line interface enables automated processing of large numbers of data sets, by means of scripting. elastix is based on the well-known open source Insight Segmentation and Registration Toolkit (ITK) (Ibánez et al., 2005) available at www . itk . org.”
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability (2006, methodology): “…six years of development in academic and corporate environments and it is the largest end-user application bundled with the Insight Toolkit (ITK), a popular library of image analysis algorithms funded under the Visible Human Project by the U.S. National Library of Medicine (Ibanez et al., 2003).”
Medical image registration: a review (2014, background): “1998) – source code in C; ITK (Ibáñez et al. 2005) – source code in Cþþ ; 3D Slicer (Gering et al.”