Reconstructing a 3D structure from serial histological sections
By Sébastien Ourselin, Alexis Roche, G. Subsol, Xavier Pennec, Nicholas Ayache. Image and Vision Computing, 2001
617 citations recorded by the source corpus.
Subfields: Biophysics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/3d73d051970d375b5ddb3d22f6bed2e91cf11a3f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biophysics
- Anant Madabhushi
- Carlos Ortiz-de-Solorzano
- Arrate Muñoz-Barrutia
- Sébastien Ourselin
- M. Jorge Cardoso
- Nasir M. Rajpoot
- Melih Kandemir
In Computer Vision and Pattern Recognition
- Nicholas Ayache
- Sébastien Ourselin
- Anant Madabhushi
- Xavier Pennec
- Alexis Roche
- M. Jorge Cardoso
- Nasir M. Rajpoot
- Carlos Ortiz-de-Solorzano
Citations in the corpus
- Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies (2014, methodology): “For each subject, the MRI was affinely aligned to the CT using a symmetric approach [25] based on Ourselin et al. [26].”
- Longitudinal Assessment of Aβ and Cognition in Aging and Alzheimer Disease (2011, methodology): “matter (WM), and CSF using an implementation of the expectation maximization segmentation algorithm.(28) The algorithm”
- Global image registration using a symmetric block-matching approach (2014, methodology): “First, we used a block-matching approach 14 to establish the spatial correspondences, where the normalized cross correlation is used as a measure of similarity.”
- Histopathological Image Analysis: A Review (2009, methodology): “Fusion methods have been developed for images from different microscopy imaging methods [26] and micro-scale histopathology and large-scale MR images [123]–[125].”
- Iconic feature based nonrigid registration: the PASHA algorithm (2003, methodology): “Let us take for example block matching based rigid registration [45]: at each iteration, the intensity similarity measure is used to find correspondences between blocks only; the rigid transformation itself is found by minimizing a geometric distance (between paired blocks).”
- 3D reconstruction of histological sections: Application to mammary gland tissue (2010, background): “Ourselin et al. (2001) proposed a strategy to compensate these nonlinear effects.”
- Block Matching: A General Framework to Improve Robustness of Rigid Registration of Medical Images (2000, methodology): “The details of this multi-scale implementation will be found in [9].”