Acquiring tomographic images from panoramic X-ray scanners

Van-Giang Nguyen; Soo-Jin Lee

doi:10.1117/12.2043232

Abstract

We propose a new method to acquire three-dimensional tomographic images of a large object from a dental panoramic X-ray scanner which was originally designed to produce a panoramic image of the teeth and jaws on a single frame. The method consists of two processes; (i) a new acquisition scheme to acquire the tomographic projection data using a narrow detector, and (ii) a dedicated model-based iterative technique to reconstruct images from the acquired projection data. In conventional panoramic X-ray scanners, the suspension arm that holds the X-ray source and the narrow detector has two moving axes of the angular movement and the linear movement. To acquire the projection data of a large object, we develop a new data acquisition scheme that can emulate an acquisition of the projectional view in a large detector by stitching narrow projection images, each of which is formed by a narrow detector, and design a trajectory to move the suspension arm accordingly. To reconstruct images from the acquired projection data, an accelerated model-based iterative reconstruction method derived from the ordered subset convex maximum-likelihood expectation-maximization algorithm is used. In this method each subset of the projection data is constructed by collecting narrow projection images to form emulated tomographic projectional views in a large detector. To validate the performance of the proposed method, we tested with a real dental panoramic X-ray system. The experimental results demonstrate that the new method has great potential to enable existing panoramic X-ray scanners to have an additional CT’s function of providing useful tomographic images.

Citation Download Citation

Van-Giang Nguyen, Van-Giang Nguyen, Soo-Jin Lee, Soo-Jin Lee, "Acquiring tomographic images from panoramic X-ray scanners", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90332W (19 March 2014); doi: 10.1117/12.2043232; https://doi.org/10.1117/12.2043232

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years