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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2016 Vol.4(2): 87-90 ISSN: 2301-3559
DOI: 10.7763/LNSE.2016.V4.229

Medical 3D Integral Images Visualization in True Space

Mahmoud. G. Eljadid and Amar Aggoun
Abstract—3D Integral Imaging (also referred to as 3D Holoscopic imaging) methodology uses the principle of “Fly’s eye” and hence allows natural viewing of objects (i.e. fatigue free viewing); 3D-holoscopic technology produces images that are true optical models. This technology is based on physical principles with duplication of light fields. In this paper, a new method of visualization medical 3D integral images is proposed. Digital Imaging and Communications in Medicine data images (DICOM) taken from CT, MRI, PET and US images that produced by 3D-Doctor software to generate medical 3D integral images visualization of anatomy without glass in natural light. The method is mainly based on multiprocessor ray tracing system as renderer. The medical 3D content is captured in real time with the content viewed by multiple viewers independently of their position, without the needs of 3D eyewear. Experimental results show validation of the new algorithm and demonstrated that medical 3D integral images content can be displayed on commercially available multi-view auto-stereoscopic display. Medical 3D integral images content is parsed into multiprocessor ray tracing system, consequently, short time of medical 3D integral images movie of such pelvis scene is generated and displayed on PC screen, LCD and Holovizio display.

Index Terms—Computer graphics, medical 3D integral imaging processing & visualization, animation, 3D TV.

Mahmoud G. Eljadid is with Tripoli University, Libya (e-mail: meljdid@hotmail.com).
Amar Aggoun is with Bedfordshire University, UK (e-mail: amar.aggoun@beds.ac.uk).


Cite: Mahmoud. G. Eljadid and Amar Aggoun, "Medical 3D Integral Images Visualization in True Space," Lecture Notes on Software Engineering vol. 4, no. 2, pp. 87-90, 2016.

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