Development of an iterative method for the geometric calibration of a photon counting detector-based cone beam CT system

Muhammad U. Ghani; Andrey Makeev; Joseph L. Manus; Ashraf Bader; Stephen J. Glick; Bahaa Ghammraoui

doi:10.1117/12.2655208

7 April 2023 Development of an iterative method for the geometric calibration of a photon counting detector-based cone beam CT system

Muhammad U. Ghani, Andrey Makeev, Joseph L. Manus, Ashraf Bader, Stephen J. Glick, Bahaa Ghammraoui

Author Affiliations +

Proceedings Volume 12463, Medical Imaging 2023: Physics of Medical Imaging; 1246347 (2023) https://doi.org/10.1117/12.2655208
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Conference Poster

Abstract

This work proposes a method for the geometric calibration of photon counting detector (PCD) based cone-beam CT systems. The method iteratively searches for the optimal geometric system parameters in the reconstruction domain. It involves the reconstruction of metal ball bearings (BBs) placed in random and non-overlapping locations in the angular projection images. The PCD-based cone-beam system is assumed to have a mechanically stable rotation center, and the PCD to have no severe out-of-plane rotations (< 2°). In the reconstruction domain, a figure of merit (FOM) is defined based on the BBs mean sphericity (Ψ) and standard deviation ( 𝜎𝜎𝐵𝐵𝐵𝐵) among their estimated volumes. Computer simulations were performed to test the validity of the method. Results from computer simulations revealed that the proposed method is valid and easy to implement. The estimated geometric parameters yielded values of Ψ close to unity with minimum 𝜎𝜎𝐵𝐵𝐵𝐵 enabling the FOM to produce system parameters close to the defined ground truth in simulations.

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Muhammad U. Ghani, Andrey Makeev, Joseph L. Manus, Ashraf Bader, Stephen J. Glick, and Bahaa Ghammraoui "Development of an iterative method for the geometric calibration of a photon counting detector-based cone beam CT system", Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 1246347 (7 April 2023); https://doi.org/10.1117/12.2655208

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