Fieselmann A, Ganguly A, Deuerling-Zheng Y, Zellerhoff M, Boese J, Hornegger J, Fahrig R (2010)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2010
Original Authors: Fieselmann A., Ganguly A., Deuerling-Zheng Y., Zellerhoff M., Boese J., Hornegger J., Fahrig R.
Book Volume: null
Pages Range: 53-56
Event location: Rotterdam
Journal Issue: null
DOI: 10.1109/ISBI.2010.5490417
Tomographic perfusion imaging is a well accepted method for stroke diagnosis that is available with current CT and MRI scanners. A challenging new method, which is currently not available, is perfusion imaging with an interventional C-arm CT that can acquire 4-D images using a C-arm angiography system. This method may help to optimize the workflow during catheter-guided stroke treatment. The main challenge in perfusion C-arm CT is the comparably slow rotational speed of the C-arm (approximately 5 seconds) which decreases the overall temporal resolution. In this work we present a dynamic reconstruction approach optimized for perfusion C-arm CT based on temporal estimation of partially backprojected volumes. We use numerical simulations to validate the algorithm: For a typical configuration the relative error in estimated arterial peak enhancement decreases from 14.6% to 10.5% using the dynamic reconstruction. Furthermore we present initial results obtained with a clinical C-arm CT in a pig model. © 2010 IEEE.
APA:
Fieselmann, A., Ganguly, A., Deuerling-Zheng, Y., Zellerhoff, M., Boese, J., Hornegger, J., & Fahrig, R. (2010). A dynamic reconstruction approach for cerebral blood flow quantification with an interventional C-arm CT. In Proceedings of the 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 (pp. 53-56). Rotterdam.
MLA:
Fieselmann, Andreas, et al. "A dynamic reconstruction approach for cerebral blood flow quantification with an interventional C-arm CT." Proceedings of the 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010, Rotterdam 2010. 53-56.
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