3D EM/MPM MEDICAL IMAGE SEGMENTATION USING AN FPGA EMBEDDED DESIGN IMPLEMENTATION
dc.contributor.advisor | Christopher, Lauren | |
dc.contributor.author | Liu, Chao | |
dc.contributor.other | Rizkalla, Maher E. | |
dc.contributor.other | Salama, Paul | |
dc.date.accessioned | 2011-08-23T15:37:30Z | |
dc.date.available | 2011-08-23T15:37:30Z | |
dc.date.issued | 2011-08 | |
dc.degree.date | 2011 | en_US |
dc.degree.discipline | Electrical & Computer Engineering | en |
dc.degree.grantor | Purdue University | en_US |
dc.degree.level | M.S.E.C.E. | en_US |
dc.description | Indiana University-Purdue University Indianapolis (IUPUI) | en_US |
dc.description.abstract | This thesis presents a Field Programmable Gate Array (FPGA) based embedded system which is used to achieve high speed segmentation of 3D images. Segmenta- tion is performed using Expectation-Maximization with Maximization of Posterior Marginals (EM/MPM) Bayesian algorithm. In this system, the embedded processor controls a custom circuit which performs the MPM and portions of the EM algorithm. The embedded processor completes the EM algorithm and also controls image data transmission between host computer and on-board memory. The whole system has been implemented on Xilinx Virtex 6 FPGA and achieved over 100 times improvement compared to standard desktop computing hardware. | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/2633 | |
dc.identifier.uri | http://dx.doi.org/10.7912/C2/2486 | |
dc.language.iso | en_US | en_US |
dc.subject | FPGA 3D image | en_US |
dc.subject.lcsh | Three-dimensional imaging in medicine | en_US |
dc.subject.lcsh | Field programmable gate arrays | en_US |
dc.title | 3D EM/MPM MEDICAL IMAGE SEGMENTATION USING AN FPGA EMBEDDED DESIGN IMPLEMENTATION | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 107324_pdf_100178_80432556-B73B-11E0-98DF-33009E1A67F9.pdf
- Size:
- 1.5 MB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.88 KB
- Format:
- Item-specific license agreed upon to submission
- Description: