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17 October 2022 3D reconstruction of stents and guidewires in an anthropomorphic phantom from three x-ray projections
Tim Vöth, Thomas König, Elias Eulig, Michael Knaup, Veit Wiesmann, Klaus Hörndler, Marc Kachelrieß
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Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230411 (2022) https://doi.org/10.1117/12.2646406
Event: Seventh International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022), 2022, Baltimore, United States
Abstract
Today, the subcutaneous, minimally invasive procedures performed in interventional radiology are usually guided by 2D X-ray fluoroscopy. In 2D X-ray fluoroscopy a series of 2D X-ray images is displayed. For challenging procedures however, 3D X-ray fluoroscopy would be advantageous. In 3D X-ray fluoroscopy, a series of 3D images, which is reconstructed from a series of 2D X-ray images, is displayed. Because the number of images used for guiding an intervention is very high, little dose can be spent per 3D reconstruction of a 3D fluoroscopy. To save dose and to minimize motion artifacts, a reconstruction algorithm that requires very few X-ray projections is desirable. Earlier work showed that guidewires, stents and coils, which are commonly used in interventions, can be reconstructed using only four synthetic X-ray projections. The reconstruction from two or three X-ray projections was only studied briefly. In this work, we improve the method by using a more suitable neural network architecture and by using a multi-channel backprojection instead of a single-channel backprojection. We then apply the improved method to more realistic data measured in an anthropomorphic phantom. The results show that the method produces 3D reconstructions of stents and guidewires with submillimeter accuracy using only three measured X-ray projections.
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Tim Vöth, Thomas König, Elias Eulig, Michael Knaup, Veit Wiesmann, Klaus Hörndler, and Marc Kachelrieß "3D reconstruction of stents and guidewires in an anthropomorphic phantom from three x-ray projections", Proc. SPIE 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography, 1230411 (17 October 2022); https://doi.org/10.1117/12.2646406
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KEYWORDS
X-rays
Reconstruction algorithms
X-ray imaging
Fluoroscopy
3D acquisition
Image segmentation
3D image processing
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