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4 April 2022 Possibility assessment of CBCT metal artifact reduction based on PICCS reconstruction and trajectory optimization
Sepideh Hatamikia, Ander Biguri, Gernot Kronreif, Joachim Kettenbach, Tom Russ, Wolfgang Birkfellner
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Proceedings Volume 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling; 120340W (2022) https://doi.org/10.1117/12.2610627
Event: SPIE Medical Imaging, 2022, San Diego, California, United States
Abstract
Precise placement of needles plays a crucial role in percutaneous procedures as it helps to achieve higher diagnostic accuracy and accurate tumor targeting. C-arm cone-beam computed tomography (CBCT) has the potential to precisely image the anatomy in direct vicinity of the needle. However, exact needle positioning is very difficult due to strong metal artifacts around the needle. In this study, we evaluate the performance of the prior image constrained compressed sensing (PICCS) CBCT reconstruction in presence of metal objects. Our results confirm the high performance of PICCS to reduce needle artifacts using both circular and non-conventional trajectories under kinematic constraints.
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Sepideh Hatamikia, Ander Biguri, Gernot Kronreif, Joachim Kettenbach, Tom Russ, and Wolfgang Birkfellner "Possibility assessment of CBCT metal artifact reduction based on PICCS reconstruction and trajectory optimization", Proc. SPIE 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, 120340W (4 April 2022); https://doi.org/10.1117/12.2610627
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KEYWORDS
Metals
Reconstruction algorithms
Collision avoidance
Compressed sensing
Computed tomography
Detection and tracking algorithms
Diagnostics
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