The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images
Abstract
A fully automated approach to segmentation of the left and right cardiac ventricles from magnetic resonance (MR) images is reported. A novel multistage hybrid appearance model methodology is presented in which a hybrid active shape model/active appearance model (AAM) stage helps avoid local minima of the matching function. This yields an overall more favorable matching result. An automated initialization method is introduced making the approach fully automated. Our method was trained in a set of 102 MR images and tested in a separate set of 60 images. In all testing cases, the matching resulted in a visually plausible and accurate mapping of the model to the image data. Average signed border positioning errors did not exceed 0.3 mm in any of the three determined contours-left-ventricular (LV) epicardium, LV and right-ventricular (RV) endocardium. The area measurements derived from the three contours correlated well with the independent standard (r = 0.96, 0.96, 0.90), with slopes and intercepts of the regression lines close to one and zero, respectively. Testing the reproducibility of the method demonstrated an unbiased performance with small range of error as assessed via Bland-Altman statistic. In direct border positioning error comparison, the multistage method significantly outperformed the conventional AAM (p < 0.001). The developed method promises to facilitate fully automated quantitative analysis of LV and RV morphology and function in clinical setting.
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Cites
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Cited by
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
Li, K., Wu, X., Chen, D. Z., & Sonka, M. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.19 · Cited by 664
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Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI
Andreopoulos, A., & Tsotsos, J. K. (2008) · Medical Image Analysis · doi:10.1016/j.media.2007.12.003 · Cited by 360
Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm
LORENZOVALDES, M. (2004) · Medical Image Analysis · doi:10.1016/j.media.2004.06.005 · Cited by 273
Li, Y., Xu, R., Ohya, J., & Iwata, H. (2017) · 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8037116 · Cited by 32
Metadata
- Authors
- Mitchell, S. C., Lelieveldt, B. P. F., van der Geest, R. J., Bosch, H. G., Reiver, J. H. C., & Sonka, M.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2001-05
- Volume
- 20
- Issue
- 5
- Pages
- 415-423
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2124632179
- Cited by
- 332
- References
- 16
- FWCI
- 19.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mitchell, S. C., Lelieveldt, B. P. F., van der Geest, R. J., Bosch, H. G., Reiver, J. H. C., & Sonka, M. (2001). Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.925294
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