Name
Abstract | ||
|---|---|---|
Real-time 3D imaging represents a developing trend in medical imaging. However, most of the 3D medical imaging algorithms are computationally intensive. In this paper, a programmable networked node for 3D brain vessels reconstruction is proposed. Starting from 2D PC-MRA (Phase-Contrast Magnetic Resonance Angiography) sequences, the node is able to generate the 3D brain vasculature using the MIP (Maximum Intensity Projection) algorithm. The node has been prototyped on the Celoxica RC203E board, equipped with a Virtex II FPGA, to get the advantages of an hardware implementation, reaching a better throughput with respect to analogous software implementations. Its generality and programmable capabilities make the proposed node easy to be reprogrammed and customized with different medical imaging algorithms. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/NBiS.2011.50 | NBiS |
Keywords | Field | DocType |
biomedical MRI,brain,field programmable gate arrays,image reconstruction,medical image processing,2D PC-MRA,3D brain vasculature,3D brain vessel reconstruction,3D medical imaging,Celoxica RC203E board,MIP algorithm,Virtex II FPGA,maximum intensity projection,phase-contrast magnetic resonance angiography,programmable capability,programmable networked node,programmable networked processing node,real-time 3D imaging,3D Brain Vessels Reconstruction,Medical data processing,embedded FPGA-based device | Brain vessels,Computer science,Medical imaging,Artificial intelligence,Virtex,Throughput,Computer hardware,Distributed computing,Iterative reconstruction,Computer vision,DICOM,Field-programmable gate array,Maximum intensity projection | Conference |
Citations | PageRank | References |
1 | 0.39 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salvatore Vitabile | 1 | 444 | 60.03 |
| Carmelo Militello | 2 | 112 | 11.68 |
| Filippo Sorbello | 3 | 218 | 29.48 |
| Leonard Barolli | 4 | 2178 | 333.62 |