Empirical Scatter Correction using the Epipolar Consistency Condition

Hoffmann M, Würfl T, Maass N, Dennerlein F, Aichert A, Maier A (2018)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Pages Range: 193-197

Conference Proceedings Title: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting)

Event location: Salt Lake City, USA

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Hoffmann18-ESC.pdf

Abstract

Scatter affects every computed tomography (CT) image. Calibration-free software scatter reduction methods have not been used extensively in practice. Recently, consistency conditions have been applied successfully to other artifact reduction problems in CT imaging. We propose a scatter reduction method, that uses an epipolar consistency condition (ECC) to estimate parameters of an additive scatter model. We evaluate our approach by comparing it with an image-based empirical scatter correction method (ESC) that uses the same scatter model. We show that it performs equally well onsimulated data. Further, ECC outperforms ESC regarding the computational load for the determination of the parameters, because ECC is formulated in projection domain such that no image reconstruction is necessary. While some restrictions might apply for the stability of ECC on measured data, no prior information needs to be formulated regarding the reconstructed image, like it is required with ESC.

Authors with CRIS profile

Involved external institutions

Siemens AG, Healthcare Sector Germany (DE)

How to cite

APA:

Hoffmann, M., Würfl, T., Maass, N., Dennerlein, F., Aichert, A., & Maier, A. (2018). Empirical Scatter Correction using the Epipolar Consistency Condition. In Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (pp. 193-197). Salt Lake City, USA.

MLA:

Hoffmann, Mathis, et al. "Empirical Scatter Correction using the Epipolar Consistency Condition." Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting), Salt Lake City, USA 2018. 193-197.

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