Impact of physical noise modeling on image segmentation in echocardiography

Conference contribution


Publication Details

Author(s): Tenbrinck D, Sawatzky A, Jiang X, Burger M, Haffner W, Willems P, Paul M, Stypmann J
Publication year: 2012
Pages range: 33-40
ISBN: 9783905674385
Language: English


Abstract

Segmentation is an essential task in ultrasound image analysis. Recently, the trend in literature is towards incorporation of high-level information, e.g., shape priors, since many low-level segmentation techniques suffer from the characteristics of medical ultrasound images, i.e., speckle noise, scattering artifacts, and shadowing effects. However, the majority of these works implicitly assume an additive Gaussian noise model in ultrasound images, although a strong deviation from this assumption is well known, and the impact of co rrect physical noise modeling is not examined sufficiently until now. In this paper we investigate the influence of three different noise models from literature using a variational region-based segmentation framework, which allows for the incorporation of both low-level and high-level information. We demonstrate that correct physical noise modeling is of high importance for the computation of accurate segmentation results. The numerical results are validated on real patient datasets from echocardiographic examinations and compared to manual segmentations from echocardiographic experts. © The Eurographics Association 2012.


External institutions with authors

Universitätsklinikum Münster
Westfälische Wilhelms-Universität (WWU) Münster


How to cite

APA:
Tenbrinck, D., Sawatzky, A., Jiang, X., Burger, M., Haffner, W., Willems, P.,... Stypmann, J. (2012). Impact of physical noise modeling on image segmentation in echocardiography. In Proceedings of the 3rd Eurographics Workshop on VisualComputing in Biology and Medicine, EG VCBM 2012 (pp. 33-40). Norrkoping, swe.

MLA:
Tenbrinck, Daniel, et al. "Impact of physical noise modeling on image segmentation in echocardiography." Proceedings of the 3rd Eurographics Workshop on VisualComputing in Biology and Medicine, EG VCBM 2012, Norrkoping, swe 2012. 33-40.

BibTeX: 

Last updated on 2019-23-08 at 21:50