Projection drift alignment by acquisition time division for x-ray nanotomography

Xiaoqi Xi; Yu Han; Junzheng Zhang; Lei Li; Siyu Tan; Zhaole Yin; Zhaoying Sun; Bin Yan

doi:10.1117/12.2588343

12 March 2021 Projection drift alignment by acquisition time division for x-ray nanotomography

Xiaoqi Xi, Yu Han, Junzheng Zhang, Lei Li, Siyu Tan, Zhaole Yin, Zhaoying Sun, Bin Yan

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 11763A1 (2021) https://doi.org/10.1117/12.2588343
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

A markerless projection drift alignment approach for X-ray nanotomography is presented. Drifts in projection from different angles are aligned by applying offsets calculated between successive images after acquisition time division, taking the advantage of the fact that the shorter the time, the less the drift. Involving neither iteration nor parameter selection, it can combine a number of existing image registration techniques and could be adopted for other tomographic imaging techniques. The application of this algorithm has been demonstrated in a laboratory X-ray nanotomography system using single photon detection, in which a standard Siemens star resolution target is initially captured for 2D evaluation and a bamboo stick is used for 3D imaging, leading to sharper image without blur and a much higher resolution.

Citation Download Citation

Xiaoqi Xi, Yu Han, Junzheng Zhang, Lei Li, Siyu Tan, Zhaole Yin, Zhaoying Sun, and Bin Yan "Projection drift alignment by acquisition time division for x-ray nanotomography", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 11763A1 (12 March 2021); https://doi.org/10.1117/12.2588343

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