Comparison of SART and eTV Reconstruction for increased C-arm CT Volume Coverage by proper Detector Rotation in Liver Imaging

Stromer D, Amrehn M, Huang Y, Kugler P, Bauer S, Lauritsch G, Maier A (2016)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2016

Publisher: IEEE Computer Society

Edited Volumes: Proceedings - International Symposium on Biomedical Imaging

Book Volume: 2016-June

Pages Range: 589-592

Conference Proceedings Title: Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

Event location: Prague

ISBN: 9781479923502

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Stromer16-COS.pdf

DOI: 10.1109/ISBI.2016.7493337

Open Access Link: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7493337

Abstract

In this work, we present a method to increase the lateral field-of-view of a C-arm CT system by rotating the detector such that the diagonal of the detector lies on the u-axis of the detector's coordinate system. We investigated three different 3-D scan trajectories for liver imaging of an obese patient (waist circumference 130 cm) — a Short Scan, a Large Volume Scan and a Helical Large Volume Scan. We reconstructed a data set of the Visible Human Project with the SART and the eTV algorithm. Tests revealed that the coverage was increased with the presented method by 25.3 % for the Short Scan and 28.5 % for the Large Volume Scan. Performing helical scans compensated the axial data loss. The two implemented iterative approaches both provide acceptable results, with the eTV algorithm reducing the RMSE compared to SART by about 29 %. Given a liver imaging task, the rotated detector is able to image the entire liver section of the abdomen with a single Large Volume Scan.

Authors with CRIS profile

Involved external institutions

Siemens AG, Healthcare Sector Germany (DE)

How to cite

APA:

Stromer, D., Amrehn, M., Huang, Y., Kugler, P., Bauer, S., Lauritsch, G., & Maier, A. (2016). Comparison of SART and eTV Reconstruction for increased C-arm CT Volume Coverage by proper Detector Rotation in Liver Imaging. In Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (pp. 589-592). Prague: IEEE Computer Society.

MLA:

Stromer, Daniel, et al. "Comparison of SART and eTV Reconstruction for increased C-arm CT Volume Coverage by proper Detector Rotation in Liver Imaging." Proceedings of the 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague IEEE Computer Society, 2016. 589-592.

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