Year: 2013
Type: preprint
Abstract: Electron tomography usually suffers from so called missing wedge artifacts caused by limited tilt angle range. An equally sloped tomography (EST) acquisition scheme (which should be called the linogram sampling scheme) was recently applied to achieve 2.4-angstrom resolution. On the other hand, a compressive sensing-inspired reconstruction algorithm, known as adaptive dictionary based statistical iterative reconstruction (ADSIR), has been reported for x-ray computed tomography. In this paper, we evaluate the EST, ADSIR and an ordered-subset simultaneous algebraic reconstruction technique (OS-SART), and compare the ES and equally angled (EA) data acquisition modes. Our results show that OS-SART is comparable to EST, and the ADSIR outperforms EST and OS-SART. Furthermore, the equally sloped projection data acquisition mode has no advantage over the conventional equally angled mode in the context.
Source: arXiv (Cornell University)
Institutions: Chinese Academy of Sciences, Institute of High Energy Physics, Wake Forest University Health Sciences, Wake Forest University, Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences, Virginia Tech, University of California, Irvine, Rensselaer Polytechnic Institute
Language: English
Subfield: Structural Biology
Domain: Life Sciences
Open Access status: green
Awards: G1325413257, G3387330441, CAREER:Development and Application of Compressive Sensing Based Interior Tomography, G4144105667, Collaborative Research: Mathematical Aspects of Interior Problem of Tomography, G648985263, G6671297155, MRI: Development of nano-CT-based elastography system for three-dimensional deformation field and elastic characterization of heterogeneous materials, G8530188254, G906710763
OpenAlex ID: W2951876356