Space-time Tomography for Continuously Deforming Objects
Type
ArticleAuthors
Zang, GuangmingIdoughi, Ramzi
Tao, Ran
Lubineau, Gilles
Wonka, Peter
Heidrich, Wolfgang
KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionOnline Publication Date
2018-07-31Print Publication Date
2018-07-30Date
2018-07-31Abstract
X-ray computed tomography (CT) is a valuable tool for analyzing objects with interesting internal structure or complex geometries that are not accessible with optical means. Unfortunately, tomographic reconstruction of complex shapes requires a multitude (often hundreds or thousands) of projections from different viewpoints. Such a large number of projections can only be acquired in a time-sequential fashion. This significantly limits the ability to use x-ray tomography for either objects that undergo uncontrolled shape change at the time scale of a scan, or else for analyzing dynamic phenomena, where the motion itself is under investigation. In this work, we present a non-parametric space-time tomographic method for tackling such dynamic settings. Through a combination of a new CT image acquisition strategy, a space-time tomographic image formation model, and an alternating, multi-scale solver, we achieve a general approach that can be used to analyze a wide range of dynamic phenomena. We demonstrate our method with extensive experiments on both real and simulated data.Citation
Zang, G., Idouchi, R., Tao, R., Lubineau, G., Wonka, P., & Heidrich, W. (2018). Space-time tomography for continuously deforming objects. ACM Transactions on Graphics, 37(4), 1–14. doi:10.1145/3197517.3201298Acknowledgements
This work was supported by King Abdullah University of Science and Technology as part of VCC Center Competitive FundingPublisher
Association for Computing Machinery (ACM)Journal
ACM Transactions on GraphicsDOI
10.1145/3197517.3201298Additional Links
https://vccimaging.org/Publications/Zang2018Space-time/Relations
Is Supplemented By:- [Dataset]
Title: Data for "Space-time Tomography for Continuously Deforming Objects". Publication Date: 2018-04-26. Handle: 10754/627676