Use this URL to cite or link to this record in EThOS:
Title: A volume filtering and rendering system for an improved visual balance of feature preservation and noise suppression in medical imaging
Author: Ross, Paul
ISNI:       0000 0004 7656 0266
Awarding Body: Heriot-Watt University
Current Institution: Heriot-Watt University
Date of Award: 2017
Availability of Full Text:
Access from EThOS:
Access from Institution:
Preserving or enhancing salient features whilst effectively suppressing noise-derived artifacts and extraneous detail have been two consistent yet competing objectives in volumetric medical image processing. Illustrative techniques (and methods inspired by them) can help to enhance and, if desired, isolate the depiction of specific regions of interest whilst retaining overall context. However, highlighting or enhancing specific features can have the undesirable side-effect of highlighting noise. Second-derivative based methods can be employed effectively in both the rendering and volume filtering stages of a visualisation pipeline to enhance the depiction of feature detail whilst minimising noise-based artifacts. We develop a new 3D anisotropic-diffusion PDE for an improved balance of feature-retention and noise reduction; furthermore, we present a feature-enhancing visualisation pipeline that can be applied to multiple modalities and has been shown to be particularly effective in the context of 3D ultrasound.
Supervisor: Chantler, Mike Sponsor: Not available
Qualification Name: Thesis (Eng.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available