Reconstruction method incorporating the object-position dependence of visibility loss in dark-field imaging

Udo van Stevendaal; Zhentian Wang; Thomas Köhler; Gerhard Martens; Marco Stampanoni; Ewald Roessl

doi:10.1117/12.2006711

6 March 2013 Reconstruction method incorporating the object-position dependence of visibility loss in dark-field imaging

Udo van Stevendaal, Zhentian Wang, Thomas Köhler, Gerhard Martens, Marco Stampanoni, Ewald Roessl

Author Affiliations +

Proceedings Volume 8668, Medical Imaging 2013: Physics of Medical Imaging; 86680Z (2013) https://doi.org/10.1117/12.2006711
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Dark-field imaging has the potential to overcome limitations in computed tomography (CT) investigating relatively weakly absorbing material. However, an object-position dependence of the visibility loss in dark-field imaging is observed. This effect might be negligible for small objects, but, for acquisition geometries using fanangle apertures and field of views as those in human CT scanners, the object-position dependence of visibility loss has to be taken into consideration if the scattering structure within the object is in the range of the grating periods, i.e. micrometer. This work examines the effect of object-position dependent visibility loss in dark-field imaging experimentally, investigates its consequences and presents an algorithm which solves the corresponding reconstruction problem.

Citation Download Citation

Udo van Stevendaal, Zhentian Wang, Thomas Köhler, Gerhard Martens, Marco Stampanoni, and Ewald Roessl "Reconstruction method incorporating the object-position dependence of visibility loss in dark-field imaging", Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86680Z (6 March 2013); https://doi.org/10.1117/12.2006711

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