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. © 2011 IEEE.

A programmable networked processing node for 3D brain vessels reconstruction

Militello Carmelo
Secondo
;
2011

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. © 2011 IEEE.
2011
Istituto di Bioimmagini e Fisiologia Molecolare - IBFM - Sede Secondaria Cefalù (PA)
9780769544588
3D Brain Vessels Reconstruction
Embedded FPGA-based device
Medical data processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/253486
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