A new algorithm for 2D region of interest tomography

Gert Van Gompel; Greg Tisson; Dirk Van Dyck; Jan Sijbers

doi:10.1117/12.536685

12 May 2004 A new algorithm for 2D region of interest tomography

Gert Van Gompel, Greg Tisson, Dirk Van Dyck, Jan Sijbers

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.536685
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

In this paper, we develop a new algorithm that enables the reconstruction of a region of interest (ROI) in X-ray Computed Tomography (CT), in case only a local region of the object is to be imaged. The method uses a Gaussian window function in order to reduce the X-ray attenuation from the region outside the ROI. The method uses almost completely local data and reduces the amount of exposure significantly. Many algorithms can be easily combined with our algorithm in order to improve the reconstruction quality. The main goal of this work is to reduce the bias in order to allow quantitative analysis of the CT-images.

Citation Download Citation

Gert Van Gompel, Greg Tisson, Dirk Van Dyck, and Jan Sijbers "A new algorithm for 2D region of interest tomography", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.536685

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

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