1. Frame localisation optical projection tomography
- Author
-
Craig T. Russell, Pedro P. Vallejo Ramirez, Eric J. Rees, Apollo - University of Cambridge Repository, and Russell, Craig [0000-0002-2447-5911]
- Subjects
Computer science ,Science ,Physics::Medical Physics ,Bioengineering ,02 engineering and technology ,Iterative reconstruction ,4603 Computer Vision and Multimedia Computation ,01 natural sciences ,Optical projection tomography ,010309 optics ,46 Information and Computing Sciences ,0103 physical sciences ,Computer vision ,Microscopy ,Multidisciplinary ,Tomographic reconstruction ,Radon transform ,business.industry ,Orientation (computer vision) ,639/624/1107/510 ,article ,Imaging and sensing ,021001 nanoscience & nanotechnology ,Medicine ,Artificial intelligence ,Tomography ,639/624/1107/328 ,0210 nano-technology ,business ,Fiducial marker ,Rotation (mathematics) ,51 Physical Sciences - Abstract
Funder: EPSRC IPES, We present a tomographic reconstruction algorithm (flOPT), which is applied to Optical Projection Tomography (OPT) images, that is robust to mechanical jitter and systematic angular and spatial drift. OPT relies on precise mechanical rotation and is less mechanically stable than large-scale computer tomography (CT) scanning systems, leading to reconstruction artefacts. The algorithm uses multiple (5+) tracked fiducial beads to recover the sample pose and the image rays are then back-projected at each orientation. The quality of the image reconstruction using the proposed algorithm shows an improvement when compared to the Radon transform. Moreover, when adding a systematic spatial and angular mechanical drift, the reconstruction shows a significant improvement over the Radon transform.
- Published
- 2021