ArticleHuman brain mapping2016
Detail-preserving construction of neonatal brain atlases in space-frequency domain.
Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed.
- Volume-inflation registration (INFREG) for morphometric analysis of human focal cortical dysplasia type II.iScience · 2026Article
- Multi-Channel 4D Parametrized Atlas of Macro- and Microstructural Neonatal Brain Development.Frontiers in neuroscience · 2021Article
- Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2019Article
- A framework for multi-component analysis of diffusion MRI data over the neonatal period.NeuroImage · 2019Article
- Computational neuroanatomy of baby brains: A review.NeuroImage · 2019Review
- Neonate and infant brain development from birth to 2 years assessed using MRI-based quantitative susceptibility mapping.NeuroImage · 2019Article
- Improved medical image fusion based on cascaded PCA and shift invariant wavelet transforms.International journal of computer assisted radiology and surgery · 2018Article
- Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2017Article
- Spatio-angular consistent construction of neonatal diffusion MRI atlases.Human brain mapping · 2017Article
- Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains.IEEE transactions on medical imaging · 2016Article
- Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Brain atlases are commonly utilized in neuroimaging studies. However, most brain atlases are fuzzy and lack structural details, especially in the cortical regions. This is mainly caused by the image averaging process involved in atlas construction, which often smoothes out high-frequency contents that capture fine anatomical details. Brain atlas construction for neonatal images is even more challenging due to insufficient spatial resolution and low tissue contrast. In this paper, we propose a novel framework for detail-preserving construction of population-representative atlases. Our approach combines spatial and frequency information to better preserve image details. This is achieved by performing atlas construction in the space-frequency domain given by wavelet transform. In particular, sparse patch-based atlas construction is performed in all frequency subbands, and the results are combined to give a final atlas. For enhancing anatomical details, tissue probability maps are also used to guide atlas construction. Experimental results show that our approach can produce atlases with greater structural details than existing atlases. Hum Brain Mapp 37:2133-2150, 2016. © 2016 Wiley Periodicals, Inc.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.