Monoplanar CT Reconstruction with GANs

International Conference on Image Processing Theory, Tools and Applications (IPTA), pp. 1–6

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.

Authors 7

1. Justus Schock Aachen Institute of Imaging & Computer Vision Department of Diagnostic and Interventional Radiology

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Institute of Imaging & Computer Vision, RWTH Aachen University,Germany

   Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Germany

2. Yu-Chia Lan Aachen Institute of Imaging & Computer Vision

   RWTH Aachen University

   Affiliation as printed

   Institute of Imaging & Computer Vision, RWTH Aachen University,Germany

3. Daniel Truhn Aachen Department of Diagnostic and Interventional Radiology

   Universitätsklinikum Aachen

   Affiliation as printed

   University Hospital Aachen,Department of Diagnostic and Interventional Radiology,Germany

   Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Germany

4. Marcin Kopaczka Aachen Institute of Imaging & Computer Vision

   RWTH Aachen University

   Affiliation as printed

   Institute of Imaging & Computer Vision, RWTH Aachen University,Germany

5. Stefan Conrad

   Heinrich Heine University Düsseldorf

   Affiliation as printed

   Heinrich-Heine Universität Düsseldorf,Department of Computer Science,Germany

6. Sven Nebelung

   Düsseldorf University Hospital

   Affiliation as printed

   University Hospital Düsseldorf,Department of Diagnostic and Interventional Radiology,Germany

7. Dorit Merhof Aachen Institute of Imaging & Computer Vision

   RWTH Aachen University

   Affiliation as printed

   Institute of Imaging & Computer Vision, RWTH Aachen University,Germany