Experimental validation of an OSEM-type iterative reconstruction algorithm for inverse geometry computed tomography

Sabrina David; Steve Burion; Alan Tepe; Brian Wilfley; Daniel Menig; Tobias Funk

doi:10.1117/12.913335

9 March 2012 Experimental validation of an OSEM-type iterative reconstruction algorithm for inverse geometry computed tomography

Sabrina David, Steve Burion, Alan Tepe, Brian Wilfley, Daniel Menig, Tobias Funk

Author Affiliations +

Proceedings Volume 8313, Medical Imaging 2012: Physics of Medical Imaging; 83133M (2012) https://doi.org/10.1117/12.913335
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Iterative reconstruction methods have emerged as a promising avenue to reduce dose in CT imaging. Another, perhaps less well-known, advance has been the development of inverse geometry CT (IGCT) imaging systems, which can significantly reduce the radiation dose delivered to a patient during a CT scan compared to conventional CT systems. Here we show that IGCT data can be reconstructed using iterative methods, thereby combining two novel methods for CT dose reduction. A prototype IGCT scanner was developed using a scanning beam digital X-ray system - an inverse geometry fluoroscopy system with a 9,000 focal spot x-ray source and small photon counting detector. 90 fluoroscopic projections or "superviews" spanning an angle of 360 degrees were acquired of an anthropomorphic phantom mimicking a 1 year-old boy. The superviews were reconstructed with a custom iterative reconstruction algorithm, based on the maximum-likelihood algorithm for transmission tomography (ML-TR). The normalization term was calculated based on flat-field data acquired without a phantom. 15 subsets were used, and a total of 10 complete iterations were performed. Initial reconstructed images showed faithful reconstruction of anatomical details. Good edge resolution and good contrast-to-noise properties were observed. Overall, ML-TR reconstruction of IGCT data collected by a bench-top prototype was shown to be viable, which may be an important milestone in the further development of inverse geometry CT.

Citation Download Citation

Sabrina David, Steve Burion, Alan Tepe, Brian Wilfley, Daniel Menig, and Tobias Funk "Experimental validation of an OSEM-type iterative reconstruction algorithm for inverse geometry computed tomography", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83133M (9 March 2012); https://doi.org/10.1117/12.913335

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