CLBlood: A Cell-Based Light Interaction Model for Human Blood
| dc.contributor.author | Yim, Daniel | |
| dc.date.accessioned | 2012-01-19T19:01:20Z | |
| dc.date.available | 2012-01-19T19:01:20Z | |
| dc.date.issued | 2012-01-19T19:01:20Z | |
| dc.date.submitted | 2012 | |
| dc.description.abstract | The development of predictive appearance models for organic tissues is a challenging task due to the inherent complexity of these materials. In this thesis, we closely examine the biophysical processes responsible for the appearance attributes of whole blood, one the most fundamental of these materials. We describe a new appearance model that simulates the mechanisms of light propagation and absorption within the cellular and fluid portions of this specialized tissue. The proposed model employs a comprehensive, and yet flexible first principles approach based on the morphological, optical and biochemical properties of blood cells. This approach allows for environment driven changes in the cells' anatomy and orientation to be appropriately included into the light transport simulations. The correctness and predictive capabilities of the proposed model are quantitatively and qualitatively evaluated through comparisons of modeled results with actual measured data and experimental observations reported in the scientific literature. Its incorporation into rendering systems is illustrated through images of blood samples depicting appearance variations controlled by physiologically meaningful parameters. Besides the contributions to the modeling of material appearance, the research presented in this thesis is also expected to have applications in a wide range of biomedical areas, from optical diagnostics to the visualization and noninvasive imaging of blood-perfused tissues. | en |
| dc.identifier.uri | http://hdl.handle.net/10012/6475 | |
| dc.language.iso | en | en |
| dc.pending | false | en |
| dc.publisher | University of Waterloo | en |
| dc.subject | Computer Graphics | en |
| dc.subject | Appearance Model | en |
| dc.subject | Predictive Model | en |
| dc.subject | Blood | en |
| dc.subject | Monte Carlo | en |
| dc.subject | Light Transport | en |
| dc.subject.program | Computer Science | en |
| dc.title | CLBlood: A Cell-Based Light Interaction Model for Human Blood | en |
| dc.type | Master Thesis | en |
| uws-etd.degree | Master of Mathematics | en |
| uws-etd.degree.department | School of Computer Science | en |
| uws.peerReviewStatus | Unreviewed | en |
| uws.scholarLevel | Graduate | en |
| uws.typeOfResource | Text | en |