The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Tissue elasticity reconstruction using linear perturbation method
Abstract
A new method to reconstruct the elastic modulus of soft tissue subjected to an external static compression is presented. In this approach the Newton-Raphson method is used to vary a finite element (FE) model of the elasticity equations to fit, in a least squared sense, a set of axial tissue displacement fields estimated using a correlation technique applied to ultrasound signals. The ill-conditioning of the Hessian matrix is eliminated using the Tikhonov regularization technique. This regularization provides a compromise between fidelity to the observed data and a priori information of the solution. Using an echographic image formation model, it is shown that the method converges within a few iterations (8-10) and that strain images artifacts which are common in elastography are significantly reduced after the resolution of the inverse problem.
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
Cites
Cross validatory choice and assessment of statistical predictions
Stone, M. (1974) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1974.tb00994.x · Cited by 10,881
Levary, R. R. (1982) · European Journal of Operational Research · doi:10.1016/0377-2217(82)90093-5 · Cited by 4,158
Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
Golub, G. H., Heath, M., & Wahba, G. (1979) · Technometrics · doi:10.1080/00401706.1979.10489751 · Cited by 3,934
Elastography: A quantitative method for imaging the elasticity of biological tissues
Ophir, J. (1991) · Ultrasonic Imaging · doi:10.1016/0161-7346(91)90079-w · Cited by 3,776
Introduction to the Finite Element Method
(2021) · Finite Element Method for Solids and Structures · doi:10.1017/9781108683982.002 · Cited by 2,933
Numerical Solution of Partial Differential Equations, Finite Difference Methods.
T., V., & Smith, G. D. (1987) · Mathematics of Computation · doi:10.2307/2007849 · Cited by 2,016
Ill-posed problems in early vision
Bertero, M., Poggio, T. A., & Torre, V. (1988) · Proceedings of the IEEE · doi:10.1109/5.5962 · Cited by 723
Internal displacement and strain imaging using ultrasonic speckle tracking
O'Donnell, M., Skovoroda, A. R., Shapo, B. M., & Emelianov, S. Y. (1994) · IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control · doi:10.1109/58.285465 · Cited by 699
Image reconstruction and restoration: overview of common estimation structures and problems
Demoment, G. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.45551 · Cited by 647
Comparing Reconstruction Algorithms for Electrical Impedance Tomography
Yorkey, T. J., Webster, J. G., & Tompkins, W. J. (1987) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1987.326032 · Cited by 596
Cited by
Elastography: Ultrasonic estimation and imaging of the elastic properties of tissues
Ophir, J., Alam, S. K., Garra, B., Kallel, F., Konofagou, E., Krouskop, T., & Varghese, T. (1999) · Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine · doi:10.1243/0954411991534933 · Cited by 784
Self-citationKonofagou, E., & Ophir, J. (1998) · Ultrasound in Medicine & Biology · doi:10.1016/s0301-5629(98)00109-4 · Cited by 444
An Overview of Elastography-An Emerging Branch of Medical Imaging
Sarvazyan, A., J. Hall, T., W. Urban, M., Fatemi, M., R. Aglyamov, S., & S. Garra, B. (2011) · Current Medical Imaging Reviews · doi:10.2174/157340511798038684 · Cited by 428
Plewes, D. B., Bishop, J., Samani, A., & Sciarretta, J. (2000) · Physics in Medicine and Biology · doi:10.1088/0031-9155/45/6/314 · Cited by 318
Towards macro- and micro-expression spotting in video using strain patterns
Shreve, M., Godavarthy, S., Manohar, V., Goldgof, D., & Sarkar, S. (2009) · 2009 Workshop on Applications of Computer Vision (WACV) · doi:10.1109/wacv.2009.5403044 · Cited by 124
Metadata
- Authors
- Kallel, F., & Bertrand, M.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 1996-06
- Volume
- 15
- Issue
- 3
- Pages
- 299-313
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2139465203
- Cited by
- 329
- References
- 24
- FWCI
- 9.60
- 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: Tissue elasticity reconstruction using linear perturbation method. https://app.cochat.ai/papers/10.1109/42.500139
- The paper
- Kallel, F., & Bertrand, M. (1996). Tissue elasticity reconstruction using linear perturbation method. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.500139
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.
