Monoplanar CT Reconstruction with GANs

Schock J, Lan YC, Truhn D, Kopaczka M, Conrad S, Nebelung S, Merhof D (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: 2022 11th International Conference on Image Processing Theory, Tools and Applications, IPTA 2022

Event location: Salzburg, AUT

ISBN: 9781665469647

DOI: 10.1109/IPTA54936.2022.9784126

Abstract

Reconstructing Computed Tomography images (CT) from radiographs currently requires biplanar radiographs for accurate CT reconstruction due to the complementary information contained in the individual views. However, in many cases biplanar information is not available. In this work, we therefore propose a KNN and a PCA-based approach using biplanar radiographs only at the training stage while performing the final inference using only a single anterior-posterior radiograph, thereby increasing the applicability and usability of the model. The methods are quantitatively validated on a multiview database achieving 81% PSNR of biplanar inference and also qualitatively on a dataset of radiographs with no corresponding CT scans.

Involved external institutions

Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE) Universitätsklinikum Aachen (UKA) DE Germany (DE) Universitätsklinikum Düsseldorf DE Germany (DE)

How to cite

APA:

Schock, J., Lan, Y.-C., Truhn, D., Kopaczka, M., Conrad, S., Nebelung, S., & Merhof, D. (2022). Monoplanar CT Reconstruction with GANs. In 2022 11th International Conference on Image Processing Theory, Tools and Applications, IPTA 2022. Salzburg, AUT: Institute of Electrical and Electronics Engineers Inc..

MLA:

Schock, Justus, et al. "Monoplanar CT Reconstruction with GANs." Proceedings of the 11th International Conference on Image Processing Theory, Tools and Applications, IPTA 2022, Salzburg, AUT Institute of Electrical and Electronics Engineers Inc., 2022.

BibTeX: Download