On the modeling of light interactions with human blood

dc.contributor.authorYim, D.
dc.contributor.authorBaranoski, G. V. G.
dc.contributor.authorChen, T. F.
dc.contributor.authorKimmel, B. W.
dc.contributor.authorMiranda, E.
dc.date.accessioned2026-09-18T17:52:43Z
dc.date.issued2011-12-21
dc.description.abstractThe development of predictive appearance models for organic tissues is a challenging task due to the inherent complexity of these materials. In this report, 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 modelling of material appearance, the research presented in this report 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.
dc.identifier.urihttps://hdl.handle.net/10012/24349
dc.language.isoen
dc.publisherUniversity of Waterloo
dc.relation.ispartofseriesComputer Science Technical Reports; CS-2011-30
dc.titleOn the modeling of light interactions with human blood
dc.typeTechnical Report
uws.contributor.affiliation1Faculty of Mathematics
uws.contributor.affiliation2David R. Cheriton School of Computer Science
uws.peerReviewStatusUnreviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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