Enhancing Single-Plane Fluoroscopy: A Self-Calibrating Bundle Adjustment for Distortion Modeling

Author:

Cooper Jackson1ORCID,Chow Jacky C. K.2ORCID,Lichti Derek1ORCID

Affiliation:

1. Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada

2. Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 2T9, Canada

Abstract

Single-plane fluoroscopy systems with image intensifiers remain commonly employed in a clinical setting. The imagery they capture is vulnerable to several types of geometric distortions introduced by the system’s components and their assembly as well as interactions with the local and global magnetic fields. In this study, the application of a self-calibrating bundle adjustment is investigated as a method to correct geometric distortions in single-plane fluoroscopic imaging systems. The resulting calibrated imagery is then applied in the quantitative analysis of diaphragmatic motion and potential diagnostic applications to hemidiaphragm paralysis. The calibrated imagery is further explored and discussed in its potential impact on areas of surgical navigation. This work was accomplished through the application of a controlled experiment with three separate Philips Easy Diagnost R/F Systems. A highly redundant (~2500 to 3500 degrees-of-freedom) and geometrically strong network of 18 to 22 images of a low-cost target field was collected. The target field comprised 121 pre-surveyed tantalum beads embedded on a 25.4 mm × 25.4 mm acrylic base plate. The modeling process resulted in the estimation of five to eight distortion coefficients, depending on the system. The addition of these terms resulted in 83–85% improvement in terms of image point precision (model fit) and 85–95% improvement in 3D object reconstruction accuracy after calibration. This study demonstrates significant potential in enhancing the accuracy and reliability of fluoroscopic imaging, thereby improving the overall quality and effectiveness of medical diagnostics and treatments.

Funder

Natural Sciences and Engineering Research Council

Natural Sciences and Engineering Research Council USRA studentship

Publisher

MDPI AG

Reference26 articles.

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5. Fluoroscopic Navigation for a Surgical Robotic System including a Continuum Manipulator;Gao;IEEE Trans. Biomed. Eng.,2022

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