A Programmable Networked Processing Node for 3D Brain Vessels Reconstruction

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1 Citazione (Scopus)

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 betterthroughput with respect to analogous software implementations. Its generality and programmable capabilities make the proposed nodeeasy to be reprogrammed and customized with different medical imaging algorithms.
Lingua originaleEnglish
Pagine294-301
Numero di pagine8
Stato di pubblicazionePublished - 2011

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Medical imaging
Brain
Processing
Angiography
Magnetic resonance
Field programmable gate arrays (FPGA)
Hardware
Imaging techniques

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cita questo

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title = "A Programmable Networked Processing Node for 3D Brain Vessels Reconstruction",
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 betterthroughput with respect to analogous software implementations. Its generality and programmable capabilities make the proposed nodeeasy to be reprogrammed and customized with different medical imaging algorithms.",
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AB - 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 betterthroughput with respect to analogous software implementations. Its generality and programmable capabilities make the proposed nodeeasy to be reprogrammed and customized with different medical imaging algorithms.

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