A dynamic 4D probabilistic atlas of the developing brain

By M. Kuklisova-Murgasova, Paul Aljabar, Latha Srinivasan, Serena J. Counsell, V. Doria, A. Serag, Ioannis S. Gousias, James P. Boardman, Mary A. Rutherford, A. David Edwards and 2 more. NeuroImage, 2011

313 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health

View Paper: https://www.semanticscholar.org/paper/b1faf80f3685ffaf30fd323662680be3b69c346b

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In Computer Vision and Pattern Recognition

In Pediatrics, Perinatology and Child Health

Citations in the corpus

Brain templates and atlases (2012, methodology): “For instance, Kuklisova-Murgasova et al. (2011) have recently reported a probabilistic, 4D atlas of human brain development.”
A review on automatic fetal and neonatal brain MRI segmentation (2017, unknown): “Their atlas was based on non-linear pairwise registration (pairwise freeform deformations) of 204 subjects, instead of one-way affine registrations used in Kuklisova-Murgasova et al. (2011). Schuh et al.”
A review of atlas-based segmentation for magnetic resonance brain images (2011, background): “Thus, research interests currently focus on the construction of temporal (also called 4D) atlases for developing, growing and aging populations [127,160–163].”
Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression (2012, unknown): “A comparison between the resulting atlas and a linearly produced atlas in a similar age range (Kuklisova-Murgasova et al., 2011) showed that constructed atlas has greater anatomic definition throughout the brain.”
The early development of brain white matter: a review of imaging studies in fetuses, newborns and infants. (2014, methodology): “Figures were adapted with permission from different studies: WM volumes in preterm newborns imaged at 3 T (Kuklisova-Murgasova et al., 2011), in newborns at term imaged at 3 T (Gilmore et al.”
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion (2015, unknown): “duces the bias towards a specific subject (Frangi et al., 2002; Kuklisova-Murgasova et al., 2011; Rueckert et al., 2001).”
MRI Segmentation of the Human Brain: Challenges, Methods, and Applications (2015, background): “Therefore, it was necessary to develop a dynamic, probabilistic atlas for any chosen stage of neonatal brain development (for ages of 29 to 44 weeks) [89].”