• DocumentCode
    244622
  • Title

    A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy

  • Author

    Bria, Alessandro ; Iannello, Giulio ; Soda, Paolo ; Peng, Hua ; Erbacci, Giovanni ; Fiameni, Giuseppe ; Mariani, Giovanni ; Mucci, Roberto ; Rorro, Marco ; Pavone, Francesco ; Silvestri, L. ; Frasconi, Paolo ; Cortini, Roberto

  • Author_Institution
    Dept. of Electr. & Inf. Eng., Univ. of Cassino & Lazio Meridionale, Cassino, Italy
  • fYear
    2014
  • fDate
    21-25 July 2014
  • Firstpage
    592
  • Lastpage
    599
  • Abstract
    Scientific problems dealing with the processing of large amounts of data require efforts in the integration of proper services and applications to facilitate the research activity, interacting with high performance computing resources. Easier access to these resources have a profound impact on research in neuroscience, leading to advances in the management and processing of neuro-anatomical images. An ever increasing amount of data are constantly collected with a consequent demand of top-class computational resources to process them. In this paper, a HPC infrastructure for the management and the processing of neuro-anatomical images is presented, introducing the effort made to optimize and integrate specific applications in order to fully exploit the available resources.
  • Keywords
    data visualisation; medical image processing; neurophysiology; optical microscopy; parallel processing; HPC infrastructure; confocal light sheet microscopy; data visualization; high performance computing; neuroanatomical image processing; Biomedical imaging; Data visualization; Image resolution; Lenses; Mice; Microscopy; Pipelines; Confocal Microscopy; Data; HPC; Human Brain Project; Neuroscience; Visualisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing & Simulation (HPCS), 2014 International Conference on
  • Conference_Location
    Bologna
  • Print_ISBN
    978-1-4799-5312-7
  • Type

    conf

  • DOI
    10.1109/HPCSim.2014.6903741
  • Filename
    6903741