Automatic Calibration for CT Bed Stitching Based on Fourier-Mellin

In Cone Beam CT (CBCT) systems, each acquisition is carried out with a stationary bed. Therefore, the field of view is limited by the size of the detector. To overcome this limitation, it is common to perform successive acquisitions for different bed positions, which are subsequently combined to increase the field of view in the longitudinal direction. To avoid the appearance of double edges in the resulting volume, it is necessary to calculate the exact bed displacement, which has traditionally been obtained by prior geometric calibrations with calibration phantoms. This implies that the calibration must be repeated periodically to adapt to any changes that the equipment may undergo. As an alternative, in this work we propose the use of an automatic calibration algorithm capable of obtaining the misalignment parameters in real time, allowing to obtain multibed images in small and regular animal CBCT systems without the need of a previous calibration.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/cbms65348.2025.00179
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Automatic Calibration for CT Bed Stitching Based on Fourier-Mellin

Daniel Sanderson, Mónica Abella, Daniel A. Rodriguez, Manuel Desco et al.
Medical Image Segmentation Techniques
article

Automatic Calibration for CT Bed Stitching Based on Fourier-Mellin

Daniel Sanderson, Mónica Abella, Daniel A. Rodriguez, Manuel Desco, Javier Garcia‐Blas
article en

Abstract

In Cone Beam CT (CBCT) systems, each acquisition is carried out with a stationary bed. Therefore, the field of view is limited by the size of the detector. To overcome this limitation, it is common to perform successive acquisitions for different bed positions, which are subsequently combined to increase the field of view in the longitudinal direction. To avoid the appearance of double edges in the resulting volume, it is necessary to calculate the exact bed displacement, which has traditionally been obtained by prior geometric calibrations with calibration phantoms. This implies that the calibration must be repeated periodically to adapt to any changes that the equipment may undergo. As an alternative, in this work we propose the use of an automatic calibration algorithm capable of obtaining the misalignment parameters in real time, allowing to obtain multibed images in small and regular animal CBCT systems without the need of a previous calibration.

Comunidad de Madrid, Instituto de Salud Carlos III
Openalex Percentile: Top 86%
Medical Image Segmentation Techniques
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