Block Matching: A General Framework to Improve Robustness of Rigid Registration of Medical Images

By Sébastien Ourselin, Alexis Roche, S. Prima, Nicholas Ayache. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2000

360 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/fb3069cb16212d869e55d51b190291550316d7ff

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Citations in the corpus

Mutual-information-based registration of medical images: a survey (2003, methodology): “To conclude, we present a list of papers that we did not consider true comparison studies, but that do contain comparisons between mutual information and other measures [12], [29], [44], [46], [51]–[53], [64], [69], [89], [91], [93], [95], [102], [103], [107], [127], [128], [130], [152], [156].”
A three-dimensional, histological and deformable atlas of the human basal ganglia. I. Atlas construction based on immunohistochemical and MRI data (2007, methodology): “The Yav++ software package was developed by the Epidaure group at INRIA (Delingette et al., 2001).”
Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information (2001, methodology): “In the case of US images, as it is very difficult to extract meaningful features, we used a block-matching algorithm based on local maximizations of the correlation coefficient of intensities [12].”
Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation (2005, methodology): “Every registration is computed using the Baladin software [18].”
Survey of Medical Image Registration (2013, methodology): “Rigid registration is also used to approximately align images that show small changes in object shape (for example, successive histological sections [43] and serial MR images) or small changes in object intensity, as in functional MR time series images.”
The creation of a brain atlas for image guided neurosurgery using serial histological data (2006, background): “In the literature, slice-to-slice anatomical consistency is typically achieved by registration of the histological data to a reference image such as a block face (Bardinet et al., 2003; Colchester et al., 2000; Delzescaux et al., 2003; Kenwright et al., 2003; Kim et al., 1997; Ourselin et al., 2000;”