Iterative method for tomographic reconstruction of time-varying objects

SzeFong Mark Yau; YingHa Chiu

doi:10.1117/1.482720

1 January 2000 Iterative method for tomographic reconstruction of time-varying objects

SzeFong Mark Yau, YingHa Chiu

Journal of Electronic Imaging, Vol. 9, Issue 1, (January 2000). https://doi.org/10.1117/1.482720

This paper presents a study investigating the reconstruction of cross sectional images of a time-varying object from its projections. Ideally, to obtain high quality cross sectional images of a time-varying object, the projections measured should correspond to that of the same phase of the object. This in turn requires that the projections from different projection angles be collected at a high rate—a requirement that is difficult to achieve for various practical reasons. In this paper, we use a priori knowledge of underlying object and the spectral properties of the projections to overcome the deficiency of inconsistent projections, and develop a novel image reconstruction method. Computer simulations demonstrate that the proposed method is capable of reducing the reconstruction mean squared error and generating reconstructions with much improved quality.

Citation Download Citation

SzeFong Mark Yau and YingHa Chiu "Iterative method for tomographic reconstruction of time-varying objects," Journal of Electronic Imaging 9(1), (1 January 2000). https://doi.org/10.1117/1.482720

Published: 1 January 2000

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