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Dual Branch Prior-SegNet: CNN for Interventional CBCT using Planning Scan and Auxiliary Segmentation Loss

2022-05-11 15:48:15
Philipp Ernst, Suhita Ghosh, Georg Rose, Andreas Nürnberger
arXiv_CV
         
Abstract

This paper proposes an extension to the Dual Branch Prior-Net for sparse view interventional CBCT reconstruction incorporating a high quality planning scan. An additional head learns to segment interventional instruments and thus guides the reconstruction task. The prior scans are misaligned by up to +-5deg in-plane during training. Experiments show that the proposed model, Dual Branch Prior-SegNet, significantly outperforms any other evaluated model by >2.8dB PSNR. It also stays robust wrt. rotations of up to +-5.5deg.

Abstract (translated)

URL

https://arxiv.org/abs/2205.10353

PDF

https://arxiv.org/pdf/2205.10353.pdf

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