Poster + Paper
4 April 2022 Prior-aided volume of interest CBCT image reconstruction for clinical interventional data
Author Affiliations +
Conference Poster
Abstract
In many interventional settings it would be beneficial to perform a final CBCT acquisition for outcome control after the intervention is done. However, due to high patient dose this is often omitted. Volume-of-interest acquisitions offer considerable dose reduction, but image reconstruction typically suffers from cupping artifacts and offsets in radiodensity due to the truncated projection data. In a previous work we presented a method which allows to incorporate available prior volume data into the reconstruction of volume-of-interest acquisitions in CBCT. The method works by making use of the fluoroscopic positioning images typically acquired before CBCT acquisitions in a 3D Radon space-based registration method registering the prior volume to the volumeof-interest scenario. Here, we demonstrate the application of this method on real clinical data or the first time.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Punzet, Robert Frysch, Daniel Behme, Tim Pfeiffer, Oliver Speck, and Georg Rose "Prior-aided volume of interest CBCT image reconstruction for clinical interventional data", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 1203127 (4 April 2022); https://doi.org/10.1117/12.2610748
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KEYWORDS
Image registration

Data acquisition

Image quality

Image restoration

3D acquisition

Data modeling

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