Time separation technique using prior knowledge for dynamic liver perfusion imaging

Hana Haseljić; Vojtěch Kulvait; Robert Frysch; Fatima Saad; Bennet Hensen; Frank Wacker; Inga Brüsch; Thomas Werncke; Georg Rose

doi:10.1117/12.2646449

17 October 2022 Time separation technique using prior knowledge for dynamic liver perfusion imaging

Hana Haseljić, Vojtěch Kulvait, Robert Frysch, Fatima Saad, Bennet Hensen, Frank Wacker, Inga Brüsch, Thomas Werncke, Georg Rose

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Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230420 (2022) https://doi.org/10.1117/12.2646449
Event: Seventh International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022), 2022, Baltimore, United States

Abstract

The perfusion imaging using C-arm CT could be used intraoperatively for liver cancer treatment planning and evaluation. To deal with undersampled data due to slow C-arm CT rotation and pause between the rotations, we applied model-based reconstruction methods. Recent works using the time separation technique with an analytical basis function set have led to a significant improvement in the quality of C-arm CT perfusion maps. In this work we apply the time separation technique with a prior knowledge basis function set extracted using singular value decomposition from CT perfusion reconstructions. On C-arm CT liver perfusion scan simulated based on the real CT liver perfusion scan we show that the bases extracted from only two CT perfusion scans are capable of modeling the C-arm CT data correctly.

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Hana Haseljić, Vojtěch Kulvait, Robert Frysch, Fatima Saad, Bennet Hensen, Frank Wacker, Inga Brüsch, Thomas Werncke, and Georg Rose "Time separation technique using prior knowledge for dynamic liver perfusion imaging", Proc. SPIE 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography, 1230420 (17 October 2022); https://doi.org/10.1117/12.2646449

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