High-fidelity visualization of large medical datasets on commodity hardware (Articolo in rivista)

Type
Label
  • High-fidelity visualization of large medical datasets on commodity hardware (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1155/2013/892967 (literal)
Alternative label
  • Gallo, Luigi and Placitelli, Alessio Pierluigi (2013)
    High-fidelity visualization of large medical datasets on commodity hardware
    in ISRN Biomedical Engineering; Hindawi Publishing Corporation, New York (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Gallo, Luigi and Placitelli, Alessio Pierluigi (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.hindawi.com/journals/isrn.biomedical.engineering/2013/892967/cta/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2013 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 9 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 892967 (literal)
Note
  • Google S (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • National Research Council of Italy, Institute for High Performance Computing and Networking (ICAR-CNR), Via Pietro Castellino 111, 80131 Naples, Italy (literal)
Titolo
  • High-fidelity visualization of large medical datasets on commodity hardware (literal)
Abstract
  • Recent advances in CT and MRI static and dynamic scanning techniques have led to great improvements in the resolution and size of volumetric medical datasets, and this trend is still ongoing. However, the explosion of dataset size prevents clinicians from taking advantage of an interactive, high-resolution exploration of volumetric medical data on commodity hardware, due to the memory constraints of modern graphics cards. This paper presents a hybrid CPU-GPU volume ray-casting method and some hybrid-based inspection tools aimed at providing interactive, medical-quality visualization using an ordinary desktop PC. Experimental results show that the hybrid method provides a near-interactive high-fidelity visualization of large medical datasets even if only limited hardware resources are available. (literal)
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