TY - JOUR
T1 - Self-calibration of cone-beam CT geometry using 3D-2D image registration
AU - Ouadah, S.
AU - Stayman, J. W.
AU - Gang, Jianan
AU - Ehtiati, T.
AU - Siewerdsen, J. H.
N1 - Funding Information:
Research supported by National Institutes of Health Grant No. R01-EB-017226 and academic- industry partnership with Siemens Healthcare (AX Division, Forcheim, Germany). The authors thank Mr Ali Uneri (Department of Computer Science, Johns Hopkins University) and Dr Tharindu De Silva (Department of Biomedical Engineering, Johns Hopkins University) for assistance with the 3D-2D registration method. Thanks also to Dr Clifford Weiss and Ms Robin Belcher (Department of Radiology, Johns Hopkins University) as well as Mr Robert Meyer (Siemens Medical Solutions USA, Inc., Customer Solutions Group, Baltimore/Washington DC) for assistance with the Zeego imaging system.
Publisher Copyright:
© 2016 Institute of Physics and Engineering in Medicine.
PY - 2016/3/10
Y1 - 2016/3/10
N2 - Robotic C-arms are capable of complex orbits that can increase field of view, reduce artifacts, improve image quality, and/or reduce dose; however, it can be challenging to obtain accurate, reproducible geometric calibration required for image reconstruction for such complex orbits. This work presents a method for geometric calibration for an arbitrary source-detector orbit by registering 2D projection data to a previously acquired 3D image. It also yields a method by which calibration of simple circular orbits can be improved. The registration uses a normalized gradient information similarity metric and the covariance matrix adaptation-evolution strategy optimizer for robustness against local minima and changes in image content. The resulting transformation provides a 'self-calibration' of system geometry. The algorithm was tested in phantom studies using both a cone-beam CT (CBCT) test-bench and a robotic C-arm (Artis Zeego, Siemens Healthcare) for circular and non-circular orbits. Self-calibration performance was evaluated in terms of the full-width at half-maximum (FWHM) of the point spread function in CBCT reconstructions, the reprojection error (RPE) of steel ball bearings placed on each phantom, and the overall quality and presence of artifacts in CBCT images. In all cases, self-calibration improved the FWHM - e.g. on the CBCT bench, FWHM = 0.86 mm for conventional calibration compared to 0.65 mm for self-calibration (p < 0.001). Similar improvements were measured in RPE - e.g. on the robotic C-arm, RPE = 0.73 mm for conventional calibration compared to 0.55 mm for self-calibration (p < 0.001). Visible improvement was evident in CBCT reconstructions using self-calibration, particularly about high-contrast, high-frequency objects (e.g. temporal bone air cells and a surgical needle). The results indicate that self-calibration can improve even upon systems with presumably accurate geometric calibration and is applicable to situations where conventional calibration is not feasible, such as complex non-circular CBCT orbits and systems with irreproducible source-detector trajectory.
AB - Robotic C-arms are capable of complex orbits that can increase field of view, reduce artifacts, improve image quality, and/or reduce dose; however, it can be challenging to obtain accurate, reproducible geometric calibration required for image reconstruction for such complex orbits. This work presents a method for geometric calibration for an arbitrary source-detector orbit by registering 2D projection data to a previously acquired 3D image. It also yields a method by which calibration of simple circular orbits can be improved. The registration uses a normalized gradient information similarity metric and the covariance matrix adaptation-evolution strategy optimizer for robustness against local minima and changes in image content. The resulting transformation provides a 'self-calibration' of system geometry. The algorithm was tested in phantom studies using both a cone-beam CT (CBCT) test-bench and a robotic C-arm (Artis Zeego, Siemens Healthcare) for circular and non-circular orbits. Self-calibration performance was evaluated in terms of the full-width at half-maximum (FWHM) of the point spread function in CBCT reconstructions, the reprojection error (RPE) of steel ball bearings placed on each phantom, and the overall quality and presence of artifacts in CBCT images. In all cases, self-calibration improved the FWHM - e.g. on the CBCT bench, FWHM = 0.86 mm for conventional calibration compared to 0.65 mm for self-calibration (p < 0.001). Similar improvements were measured in RPE - e.g. on the robotic C-arm, RPE = 0.73 mm for conventional calibration compared to 0.55 mm for self-calibration (p < 0.001). Visible improvement was evident in CBCT reconstructions using self-calibration, particularly about high-contrast, high-frequency objects (e.g. temporal bone air cells and a surgical needle). The results indicate that self-calibration can improve even upon systems with presumably accurate geometric calibration and is applicable to situations where conventional calibration is not feasible, such as complex non-circular CBCT orbits and systems with irreproducible source-detector trajectory.
KW - 3D-2D image registration
KW - C-arm
KW - cone-beam CT
KW - geometric calibration
KW - image quality
KW - image-guided interventions
KW - task-driven imaging
UR - http://www.scopus.com/inward/record.url?scp=84962216494&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962216494&partnerID=8YFLogxK
U2 - 10.1088/0031-9155/61/7/2613
DO - 10.1088/0031-9155/61/7/2613
M3 - Article
C2 - 26961687
AN - SCOPUS:84962216494
SN - 0031-9155
VL - 61
SP - 2613
EP - 2632
JO - Physics in medicine and biology
JF - Physics in medicine and biology
IS - 7
ER -