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Measurement of hippocampal atrophy using 4D graph-cut segmentation: application to ADNI
Wolz R, Heckemann RA, Aljabar P, Hajnal JV, Hammers A, Lötjönen J, Rueckert D, Alzheimer's Disease Neuroimaging Initiative.. NeuroImage, 2010-04-09
Topic: Amyloid, tau and blood-test diagnosis
We propose a new method of measuring atrophy of brain structures by simultaneously segmenting longitudinal magnetic resonance (MR) images. In this approach a 4D graph is used to represent the longitudinal data: edges are weighted based on spatial and intensity priors and connect spatially and temporally neighboring voxels represented by vertices in the graph. Solving the min-cut/max-flow problem on this graph yields the segmentation for all timepoints in a single step.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Wolz, R., Heckemann, R. A., Aljabar, P., Hajnal, J. V., Hammers, A., Lötjönen, J., et al. (2010). Measurement of hippocampal atrophy using 4D graph-cut segmentation: application to ADNI. NeuroImage. https://doi.org/10.1016/j.neuroimage.2010.04.006
Vancouver
Wolz R, Heckemann RA, Aljabar P, Hajnal JV, Hammers A, Lötjönen J, et al. Measurement of hippocampal atrophy using 4D graph-cut segmentation: application to ADNI. NeuroImage. 2010. doi:10.1016/j.neuroimage.2010.04.006. PMID: 20382238.
BibTeX
@article{wolz2010-20382238,
author = {Wolz, R. and Heckemann, R. A. and Aljabar, P. and Hajnal, J. V. and Hammers, A. and Lötjönen, J. and Rueckert, D. and {Alzheimer's Disease Neuroimaging Initiative}},
title = {{Measurement of hippocampal atrophy using 4D graph-cut segmentation: application to ADNI}},
journal = {NeuroImage},
year = {2010},
doi = {10.1016/j.neuroimage.2010.04.006},
pmid = {20382238},
url = {https://doi.org/10.1016/j.neuroimage.2010.04.006}
}
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Key findings
- In this approach a 4D graph is used to represent the longitudinal data: edges are weighted based on spatial and intensity priors and connect spatially and temporally neighboring voxels represented by vertices in the graph.
- Solving the min-cut/max-flow problem on this graph yields the segmentation for all timepoints in a single step.
- By segmenting all timepoints simultaneously, a consistent and atrophy-sensitive segmentation is obtained.
- The application to hippocampal atrophy measurement in 568 image pairs (Baseline and Month 12 follow-up) as well as 362 image triplets (Baseline, Month 12, and Month 24) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) confirms previous findings for atrophy in Alzheimer's disease (AD) and healthy aging.
Why it matters
This paper proposes a new 4D graph-cut segmentation method to measure hippocampal atrophy on longitudinal MRI scans. It is a measurement method and does not test any treatment, cure, or prevention.
Study details
- Study designlongitudinal study
- Participants206
- Evidence strengthModerate
How this study scored 60/100
Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for effect reported 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 | 7 / 12 | A longitudinal study following the same people over time |
| Strength of evidence | 3 / 5 | Rated “moderate” 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 | 2 / 4 | 206 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 5 / 7 | Cited 135 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 7.5 citations a year over 18 year(s) since 2010 |
| Impact for its field and year | 4 / 6 | Cited 19.5× 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 | 0 / 4 | Cited 2 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 | 2 / 3 | OpenAlex lists 4 institution(s) in 3 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 20382238) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 60 / 100 | — |
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