Plenoptic imaging is an exciting research field since, by introducing a microlens array into the optical train of a traditional camera, directional information about incoming light rays is stored on the sensor. Whereas traditional cameras discard this information, plenoptic imaging takes advantage of this increase in angular resolution to provide a method of snapshot 3D capture. With a plenoptic dataset, the ability to extend depth of field and refocus digitally, post-acquisition, is of key benefit to bioluminescence tomography. Due to low light imaging conditions, large apertures are required to capture enough signal from a bioluminescence imaging subject; this causes a shallow depth of field, and when mirrors are introduced into the system to increase subject coverage, managing the system focal planes can be hard. In order to investigate the best uses of plenoptic imaging for biomedical research, a simulation platform was created to allow efficient, flexible, cost effective exploration of system design and algorithm development. This simulation platform was utilised in designing a plenoptic multi-view system, which is applicable to bioluminescence tomography. A correction to the bioluminescence free space model is made which facilitates quantitative imaging. Finally, a plenoptic tomography system is created which allows snapshot, multi-view 3D capture.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:760299 |
| Date | January 2017 |
| Creators | Meah, Christopher James |
| Publisher | University of Birmingham |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://etheses.bham.ac.uk//id/eprint/7697/ |
Page generated in 0.0016 seconds