Ghost Tomography
Posted on 2018-11-29 - 14:29
The quest for imaging protocols with ever-reduced dose is one of the most powerful motivators driving the currently-exploding field of ghost imaging. Ghost tomography using single-pixel detection extends the burgeoning field of ghost imaging to three dimensions, with the use of penetrating radiation. In this work, a series of spatially random x-ray intensity patterns is used to illuminate a specimen in various tomographic angular orientations, with only the total transmitted intensity being recorded by a single-pixel camera (or bucket detector). The set of zero-dimensional intensity readings, combined with knowledge of the corresponding two-dimensional illuminating patterns and specimen orientations, is sufficient for three-dimensional reconstruction of the specimen. The experimental demonstration of ghost tomography is presented here using synchrotron hard x-rays. This result significantly expands the scope of ghost imaging to encompass volumetric imaging (i.e., tomography, of optically opaque objects using penetrating radiation. For hard x-rays, ghost tomography has the potential to decouple image quality from dose rate as well as image resolution from detector performance.
CITE THIS COLLECTION
DataCite
3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
4OR
AAPG Bulletin
AAPS Open
AAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
Academy of Management Review
Kingston, Andrew; Pelliccia, Daniele; Rack, Alexander; Olbinado, Margie; cheng, yin; Myers, Glenn; et al. (2018). Ghost Tomography. Optica Publishing Group. Collection. https://doi.org/10.6084/m9.figshare.c.4258304.v1
or
Select your citation style and then place your mouse over the citation text to select it.
Resource Link
SHARE
Usage metrics
Read the peer-reviewed publication
AUTHORS (7)
AK
Andrew Kingston
DP
Daniele Pelliccia
AR
Alexander Rack
MO
Margie Olbinado
yc
yin cheng
GM
Glenn Myers
DP
David Paganin