Name
Title | ||
|---|---|---|
Constructing complex 3D biological environments from medical imaging using high performance computing. |
Abstract | ||
|---|---|---|
Extracting information about the structure of biological tissue from static image data is a complex task requiring computationally intensive operations. Here, we present how multicore CPUs and GPUs have been utilized to extract information about the shape, size, and path followed by the mammalian oviduct, called the fallopian tube in humans, from histology images, to create a unique but realistic 3D virtual organ. Histology images were processed to identify the individual cross sections and determine the 3D path that the tube follows through the tissue. This information was then related back to the histology images, linking the 2D cross sections with their corresponding 3D position along the oviduct. A series of linear 2D spline cross sections, which were computationally generated for the length of the oviduct, were bound to the 3D path of the tube using a novel particle system technique that provides smooth resolution of self-intersections. This results in a unique 3D model of the oviduct, which is grounded in reality. The GPU is used for the processor intensive operations of image processing and particle physics based simulations, significantly reducing the time required to generate a complete model. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TCBB.2011.69 | IEEE/ACM Trans. Comput. Biology Bioinform. |
Keywords | Field | DocType |
histology image,individual cross section,spline cross section,fallopian tube,biological environments,cross section,mammalian oviduct,high performance computing,biological tissue,extracting information,complete model,medical imaging,computationally intensive operation,computational modeling,resolution,image processing,virtual reality,particle system,solid modeling,gynaecology,biological systems,histology,information extraction,particle physics,cpu,feature extraction | Spline (mathematics),Computer vision,Computer science,Medical imaging,Image processing,Feature extraction,Information extraction,Artificial intelligence,Solid modeling,Bioinformatics,Graphics processing unit,Multi-core processor | Journal |
Volume | Issue | ISSN |
9 | 3 | 1557-9964 |
Citations | PageRank | References |
1 | 0.42 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mark Burkitt | 1 | 8 | 2.05 |
| Dawn Walker | 2 | 70 | 4.98 |
| Daniela M. Romano | 3 | 151 | 15.28 |
| Alireza Fazeli | 4 | 3 | 0.88 |