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LEAP: learning embeddings for atlas propagation
Wolz R, Aljabar P, Hajnal JV, Hammers A, Rueckert D, Alzheimer's Disease Neuroimaging Initiative.. NeuroImage, 2009-10-06
Topic: Brain proteins, microglia and lab models
We propose a novel framework for the automatic propagation of a set of manually labeled brain atlases to a diverse set of images of a population of subjects. A manifold is learned from a coordinate system embedding that allows the identification of neighborhoods which contain images that are similar based on a chosen criterion. Within the new coordinate system, the initial set of atlases is propagated to all images through a succession of multi-atlas segmentation steps.
Key findings
- A manifold is learned from a coordinate system embedding that allows the identification of neighborhoods which contain images that are similar based on a chosen criterion.
- Within the new coordinate system, the initial set of atlases is propagated to all images through a succession of multi-atlas segmentation steps.
- This breaks the problem of registering images that are very "dissimilar" down into a problem of registering a series of images that are "similar".
- At the same time, it allows the potentially large deformation between the images to be modeled as a sequence of several smaller deformations.
Why it matters
This paper proposes a method for automatically propagating labeled brain atlases to many different brain images. It is a technical imaging method, not a finding about treating, curing or preventing Alzheimer's disease.
Study details
- Evidence strengthLow
How this study scored 48/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (NeuroImage) |
| Journal's citation record | 4 / 4 | NeuroImage: journal h-index 523 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2010 — within 20 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 5 / 7 | Cited 238 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 13.2 citations a year over 18 year(s) since 2010 |
| Impact for its field and year | 4 / 6 | Cited 18.4× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 8 other studies in this library |
| Still being cited | 2 / 4 | Cited 19 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 4 / 4 | Last-listed author Daniel Rueckert: h-index 132 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | Imperial College London: institution h-index 1,744 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 19815080) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 48 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1016/j.neuroimage.2009.09.069
- PubMed: 19815080
- Original source →
- Free full text: PubMed Central →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
APA 7th
Wolz, R., Aljabar, P., Hajnal, J. V., Hammers, A., Rueckert, D., & Alzheimer's Disease Neuroimaging Initiative. (2010). LEAP: learning embeddings for atlas propagation. NeuroImage. https://doi.org/10.1016/j.neuroimage.2009.09.069
Vancouver
Wolz R, Aljabar P, Hajnal JV, Hammers A, Rueckert D, Alzheimer's Disease Neuroimaging Initiative. LEAP: learning embeddings for atlas propagation. NeuroImage. 2010. doi:10.1016/j.neuroimage.2009.09.069. PMID: 19815080.
BibTeX
@article{wolz2010-19815080,
author = {Wolz, R. and Aljabar, P. and Hajnal, J. V. and Hammers, A. and Rueckert, D. and {Alzheimer's Disease Neuroimaging Initiative}},
title = {{LEAP: learning embeddings for atlas propagation}},
journal = {NeuroImage},
year = {2010},
doi = {10.1016/j.neuroimage.2009.09.069},
pmid = {19815080},
url = {https://doi.org/10.1016/j.neuroimage.2009.09.069}
}
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here.
Later studies that cite this one
8 studies in the alzhub library list this one in their references.