Assessment of tomographic reconstruction performance using the Mojette transform

Henri Der Sarkissian; Jeanpierre Guédon; Benoit Recur; Nicolas Normand

doi:10.1117/12.2216519

22 March 2016 Assessment of tomographic reconstruction performance using the Mojette transform

Henri Der Sarkissian, Jeanpierre Guédon, Benoit Recur, Nicolas Normand

Proceedings Volume 9783, Medical Imaging 2016: Physics of Medical Imaging; 97834U (2016) https://doi.org/10.1117/12.2216519
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

The Mojette transform is a discrete and exact Radon transform, based on the discrete geometry of the projection and reconstruction lattice. The specific sampling scheme of the Mojette transform results in theoretical exact image reconstruction. In this paper, we compare the reconstructions obtained with the Mojette transform to the ones obtained with several usual projection/backprojection digitized Radon transform. These experiments validate and demonstrate the performance of the Mojette transform sampling over classical implementations based on continuous space.

Citation Download Citation

Henri Der Sarkissian, Jeanpierre Guédon, Benoit Recur, and Nicolas Normand "Assessment of tomographic reconstruction performance using the Mojette transform", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97834U (22 March 2016); https://doi.org/10.1117/12.2216519

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