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Online mobile C-arm calibration using inertial sensors: a preliminary study in order to achieve CBCT

Abstract : Purpose Cone beam computed tomography (CBCT) became increasingly popular over the last years. It allows more accurate diagnosis and treatment planning with a lower effective radiation dose. However, volume reconstruction algorithms require a very precise knowledge of the imaging geometry. Due to mechanical instabilities, mobile C-arms are incompatible with existing tomography algorithms. Therefore, C-arm online calibration is essential in order to achieve an accurate volume reconstruction. Methods We present an online calibration method for mobile C-arms. It is based on tracking the detector and the X-ray source of the C-arm using three-axis gyroscopes and accelerometers. It aims to be precise and noninvasive. The performance of the calibration algorithm is evaluated in regard to the precision of the sensors and to whether or not dynamic models are considered. In addition, we present an algorithm which propagate the errors from the positions and orientations estimates to the 2D projections on the detector plane. Thus, we can evaluate the impact of the estimation errors on the acquired images. Results The experiments are conducted on an experimental C-arm. The reached accuracy is ≈0.19∘ for orientation and ≈3.0mm for position. These errors propagate as an error of ≈2mm for the 2D projections on the detector plane. Conclusions The proposed calibration algorithm achieves an accuracy comparable to the precision of existing calibration methods. The required angle accuracy by CBCT algorithms is reached. However, improvements are needed to achieve the required position precision. The in-plane translations of the X-ray source and the detector are the most crucial parameters to estimate in order to conduct CBCT on mobile C-arms.
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https://hal.archives-ouvertes.fr/hal-02357073
Contributor : Imane Lemammer Connect in order to contact the contributor
Submitted on : Monday, November 16, 2020 - 7:25:07 PM
Last modification on : Wednesday, November 3, 2021 - 6:01:12 AM
Long-term archiving on: : Wednesday, February 17, 2021 - 8:14:09 PM

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Imane Lemammer, Olivier Michel, H Ayasso, Steeve Zozor, Guillaume Bernard. Online mobile C-arm calibration using inertial sensors: a preliminary study in order to achieve CBCT. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2020, 15, pp.213-224. ⟨10.1007/s11548-019-02061-6⟩. ⟨hal-02357073⟩

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