7 June 2018 Calibration of Artis-Zeego C-arm cone beam computerized tomography angiography imaging system
Si Li, Jean-Claude Nunes, Miguel Castro, Christine Toumoulin, Limin Luo
Author Affiliations +
Abstract
Artis-Zeego is an advanced interventional imaging system that can provide the three-dimensional (3-D) reconstruction of the coronary artery in real time. However, the mechanical accuracy will degenerate after long-time use. The inaccurate geometry will affect the spatial resolution of the 3-D reconstruction. We propose a calibration algorithm to tackle this problem. There are three steps of our algorithm. First, we propose a geometry estimation algorithm that is based on the classical helical phantom. Second, we transfer the geometry to the nominal C-arm coordinate system. Third, we propose the posteriori movement models at three imaging work positions. The contributions include three parts. First, the proposed geometry estimation algorithm is more robust and easier to implement than other algorithms that are based on the helical phantom. Second, the geometry parameters can be transferred to the nominal C-arm system. Therefore, the calibration work will be independent of the phantom placement. Third, the movement models can estimate and predict the geometries at any acquisition angle. The clinical experiments demonstrate that the proposed method can estimate and predict the acquisition geometry with accuracy. The acquisition trajectories can be modeled as a rigid motion at head and left work positions. The acquisition trajectory should be modeled as a rigid motion with a residual translation at Table30 work position.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2018/$25.00 © 2018 SPIE
Si Li, Jean-Claude Nunes, Miguel Castro, Christine Toumoulin, and Limin Luo "Calibration of Artis-Zeego C-arm cone beam computerized tomography angiography imaging system," Optical Engineering 57(6), 063104 (7 June 2018). https://doi.org/10.1117/1.OE.57.6.063104
Received: 7 September 2017; Accepted: 29 March 2018; Published: 7 June 2018
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Calibration

Computed tomography

Head

Angiography

Sensors

Tomography

Motion models

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