The DOI matches its Crossref record.
Image registration based on boundary mapping
Abstract
A new two-stage approach for nonlinear brain image registration is proposed. In the first stage, an active contour algorithm is used to establish a homothetic one-to-one map between a set of region boundaries in two images to be registered. This mapping is used in the second step: a two-dimensional transformation which is based on an elastic body deformation. This method is tested by registering magnetic resonance images to atlas images.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Image registration methods: a survey
Zitová, B., & Flusser, J. (2003) · Image and Vision Computing · doi:10.1016/s0262-8856(03)00137-9 · Cited by 6,423
A survey of medical image registration
Maintz, J. B. A., & Viergever, M. A. (1998) · Medical Image Analysis · doi:10.1016/s1361-8415(01)80026-8 · Cited by 3,327
Deformable models in medical image analysis: a survey
McInerney, T., & Terzopoulos, D. (1996) · Medical Image Analysis · doi:10.1016/s1361-8415(96)80007-7 · Cited by 1,913
Volumetric transformation of brain anatomy
Christensen, G. E., Joshi, S. C., & Miller, M. I. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.650882 · Cited by 438
Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models
Davatzikos, C. (1997) · Computer Vision and Image Understanding · doi:10.1006/cviu.1997.0605 · Cited by 375
Self-citation
Metadata
- Authors
- Davatzikos, C., Prince, J. L., & Bryan, R. N.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 1996-02
- Volume
- 15
- Issue
- 1
- Pages
- 112-115
- ISSN
- 0278-0062 (ISSN-L)
- 1558-254X
- OpenAlex
- W2136968905
- Cited by
- 209
- References
- 0
- FWCI
- 15.03
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Image registration based on boundary mapping. https://app.cochat.ai/papers/10.1109/42.481446
- The paper
- Davatzikos, C., Prince, J. L., & Bryan, R. N. (1996). Image registration based on boundary mapping. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.481446
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.