Metal-conscious Embedding for CBCT Projection Inpainting

Fan F, Wang Y, Ritschl L, Biniazan R, Beister M, Kreher BW, Huang Y, Kappler S, Maier A (2023)

Publication Type: Conference contribution

Publication year: 2023

Publisher: IEEE

Conference Proceedings Title: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

Event location: Cartagena

DOI: 10.1109/ISBI53787.2023.10230412

Abstract

The existence of metallic implants in projection images for cone-beam computed tomography (CBCT) introduces undesired artifacts which degrade the quality of reconstructed images. In order to reduce metal artifacts, projection in-painting is an essential step in many metal artifact reduction algorithms. In this work, a hybrid network combining the shift window (Swin) vision transformer (ViT) and a convolutional neural network is proposed as a baseline network for the inpainting task. To incorporate metal information for the Swin ViT-based encoder, metal-conscious self-embedding and neighborhood-embedding methods are investigated. Both methods have improved the performance of the baseline network. Furthermore, by choosing appropriate window size, the model with neighborhood-embedding could achieve the lowest mean absolute error of 0.079 in metal regions and the highest peak signal-to-noise ratio of 42.346 in CBCT projections. At the end, the efficiency of metal-conscious embedding on both simulated and real cadaver CBCT data has been demonstrated, where the inpainting capability of the baseline network has been enhanced.

Authors with CRIS profile

Fuxin Fan Lehrstuhl für Informatik 5 (Mustererkennung) Yixing Huang Department of Radiation Oncology Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Siemens AG, Healthcare Sector DE Germany (DE) Siemens Healthineers DE Germany (DE)

How to cite

APA:

Fan, F., Wang, Y., Ritschl, L., Biniazan, R., Beister, M., Kreher, B.W.,... Maier, A. (2023). Metal-conscious Embedding for CBCT Projection Inpainting. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). Cartagena: IEEE.

MLA:

Fan, Fuxin, et al. "Metal-conscious Embedding for CBCT Projection Inpainting." Proceedings of the IEEE International Symposium on Biomedical Imaging, Cartagena IEEE, 2023.

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