Limits to dose reduction from iterative reconstruction and the effect of through-slice blurring

Scott S. Hsieh; Norbert J. Pelc

doi:10.1117/12.2216889

25 March 2016 Limits to dose reduction from iterative reconstruction and the effect of through-slice blurring

Scott S. Hsieh, Norbert J. Pelc

Proceedings Volume 9783, Medical Imaging 2016: Physics of Medical Imaging; 97831C (2016) https://doi.org/10.1117/12.2216889
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Iterative reconstruction methods have become very popular and show the potential to reduce dose. We present a limit to the maximum dose reduction possible with new reconstruction algorithms obtained by analyzing the information content of the raw data, assuming the reconstruction algorithm does not have a priori knowledge about the object or correlations between pixels. This limit applies to the task of estimating the density of a lesion embedded in a known background object, where the shape of the lesion is known but its density is not. Under these conditions, the density of the lesion can be estimated directly from the raw data in an optimal manner. This optimal estimate will meet or outperform the performance of any reconstruction method operating on the raw data, under the condition that the reconstruction method does not introduce a priori information. The raw data bound can be compared to the lesion density estimate from FBP in order to produce a limit on the dose reduction possible from new reconstruction algorithms. The possible dose reduction from iterative reconstruction varies with the object, but for a lesion embedded in the center of a water cylinder, it is less than 40%. Additionally, comparisons between iterative reconstruction and filtered backprojection are sometimes confounded by the effect of through-slice blurring in the iterative reconstruction. We analyzed the magnitude of the variance reduction brought about by through-slice blurring on scanners from two different vendors and found it to range between 11% and 48%.

Citation Download Citation

Scott S. Hsieh and Norbert J. Pelc "Limits to dose reduction from iterative reconstruction and the effect of through-slice blurring", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97831C (25 March 2016); https://doi.org/10.1117/12.2216889

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