| dc.contributor.author | Burkitt, Mark | en_US |
| dc.contributor.author | Romano, Daniela M. | en_US |
| dc.contributor.author | Walker, Dawn C. | en_US |
| dc.contributor.author | Fazeli, Alireza | en_US |
| dc.contributor.editor | John Collomosse and Ian Grimstead | en_US |
| dc.date.accessioned | 2014-01-31T20:12:01Z | |
| dc.date.available | 2014-01-31T20:12:01Z | |
| dc.date.issued | 2010 | en_US |
| dc.identifier.isbn | 978-3-905673-75-3 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/LocalChapterEvents/TPCG/TPCG10/255-262 | en_US |
| dc.description.abstract | A novel technique using a particle system constrained by Newtonian forces is presented for the algorithmic construction of small scale, complex 3D biological structures based on real world biological data. This allows models of structures too small to be accurately recreated using medical imaging technologies such as Magnetic Resonance Imaging (MRI) to be created. The resulting model provides a geometrically realistic 3D environment which can be used to study the biological interactions which occur within. The technique is used to create a model of an oviduct, but could also be applied to similar organs such as the colon. The model is validated using measurements and visual comparisons from biological data. Finally, the technique is implemented using single-core and multi-core CPU techniques and using GPU acceleration. The performance of each implementation is then compared. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling | en_US |
| dc.title | 3D Modelling of Complex Biological Structures: The Oviduct | en_US |
| dc.description.seriesinformation | Theory and Practice of Computer Graphics | en_US |
