Virtual Alignment Method and its application to the dental prostheses and diagnosis

TL;DR

The paper introduces a Virtual Alignment Method (VAM) for X-ray tomography that improves image accuracy in dental applications by compensating for patient movement, achieving errors as low as a few micrometers.

Contribution

It presents a novel alignment algorithm using sinogram and fixed points that enhances image reconstruction quality in dental tomography.

Findings

Reduced reconstruction errors to a few micrometers.

Improved image clarity and accuracy for dental prostheses.

Potential for better diagnosis and treatment planning.

Abstract

The recent proposal of a new alignment solution for X-ray tomography, Virtual alignment method (VAM) allowed a more accurate method to remove the possible errors that limit the resolution and clarity of the reconstructed image. In the field of dentistry, the movement of patients during the scanning poses as one of the major factors hindering the final reconstructed image quality. Here, the patient's movement was artificially given to the projection image set and the newly proposed algorithm using the sinogram and the fixed point was applied to the tooth sample to compare the reconstruction image to the actual projection image set. The new alignment method showed promising results by reducing the margin of errors down to a few micrometer, which will allow the production of high-quality dental prostheses with accuracy and precision. We hope that the newly proposed alignment method can be further investigated to be applied more readily in the filed of dentistry ot provide better quality images of patients to make a more accurate diagnosis and prostheses.