Poster + Paper
2 April 2024 Motion compensation in short-scan CBCT reconstructions for dental applications
Abdul Salam Rasmi Asraf Ali, Cristina Sarti, Claudio Landi, Andrea Fusiello
Author Affiliations +
Conference Poster
Abstract
Cone-beam computed tomography (CBCT) is a widely established technique for dental imaging that provides detailed three-dimensional representations of the maxillofacial region. However, its application in clinical practice is often impaired by patient movement during image acquisition, leading to severe image artifacts and compromised diagnostic accuracy. Cone beam CT system manufacturers have incorporated mechanical fixations to prevent patient movement, however, these fixtures lack complete rigidity and still permit some degree of movement. In clinical situations, short scan acquisitions are a common scenario where only a limited portion of the full 360° rotation is covered during the scan. A shorter scan has the advantage of a shorter exposure time and requires a device of smaller size which is very convenient due to space constraints in many dentist’s clinics. This paper proposes a multi-stage approach to compensate for patient motion in short-scan CBCT reconstructions. In contrast to conventional iterative techniques that require multiple reconstructions during compensation, this approach requires only a few reconstructions computed with the Feldkamp-Davis-Kress (FDK) algorithm as the reference for compensation. Before the motion compensation stage, the reference volume undergoes regularization. The motion compensation is then accomplished by optimizing motion parameters through a regularized 3D-2D image registration process. The results show that the proposed motion compensation approach effectively reduces motion-induced artifacts in the final reconstruction.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Abdul Salam Rasmi Asraf Ali, Cristina Sarti, Claudio Landi, and Andrea Fusiello "Motion compensation in short-scan CBCT reconstructions for dental applications", Proc. SPIE 12926, Medical Imaging 2024: Image Processing, 129261K (2 April 2024); https://doi.org/10.1117/12.3000383
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cone beam computed tomography

Reconstruction algorithms

Image restoration

Medical image reconstruction

Diagnostics

Image processing

Back to Top