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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-22 1:23 |
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Conference: Bucharest University Faculty of Physics 2018 Meeting
Section: Biophysics; Medical Physics
Title:
C# visual application for medical image analysis
Authors:
Nicolae VERGA (1), Mihaela VERGA (2), Mihai OPRIȚESCU (3), Ioan V. GROSSU (4)
Affiliation:
1) "Carol Davila" University of Medicine and Pharmacy, Bucharest
2) Emergency University Bucharest Hospital
3) Independent programmer
4) University of Bucharest, Faculty of Physics, Bucharest-Măgurele, P.O. Box MG 11, 077125, Romania
E-mail
nicolae.verga@umfcd.ro,
ioan.grossu@brahms.fizica.unibuc.ro
Keywords:
image analysis, CT, MRI, DICOM, tumor identification, fractal analysis, .Net, C#, WPF, 3D reconstruction
Abstract:
In this work we present a .net desktop application, developed in C#, for analysis of medical images (mainly CT and MRI). For accessing the manufacturer independent data (e.g., Hounsfield units) stored in DICOM files we employed the Vintasoft. Net SDK (www.vintasoft.com). Our main goal is to create an electronic tool for helping the physician taking decisions in a wide range of medical aspects [1-3]. In this context we started by developing some first instruments of interest: WPF module for 3D image reconstruction, 3D backtracking algorithm for identification of connected voxels, tissues recognition based on statistical analysis of local fuzzy fractal dimension [3-6], etc. Further analyses along those lines are currently in progress.
References:
[1] D. Sardari, N. Verga, Calculation of externally applied electric field intensity for disruption of cancer cell proliferation, Electromagnetic biology and medicine 29 (1-12), 26-30
[2] Physical modeling of cancer tumor growth: A preliminary review - D Sardari, N. Verga, A. Arbabi, A. Ameri, S. Amirifar - Australian Journal of Basic and Applied Sciences 3 (4), 3531-3536
[3] L. E. George, E. Z. Mohammed, Cancer Tissues Recognition System Using Box Counting Method and Artificial Neural Network, International Conference of Soft Computing and Pattern Recognition (SoCPaR), 2011
[4] D. Dumitrescu, H. Costin, Retele Neuronale Teorie si Aplicatii, Teora, Romania, 1996
[5] I. V. Grossu, C. Besliu, M. V. Rusu, Al. Jipa, C. C. Bordeianu, D. Felea, Visual tool for estimating the fractal dimension of images; Computer Physics Communications 180 (2009) 1999–2001
[6] I. V. Grossu, S. A. El-Shamali, Hyper-Fractal Analysis v04: Implementation of a fuzzy box-counting algorithm for image analysis of artistic works, Computer Physics Communications, Volume 184, Issue 7, July 2013, Pages 1812-1813
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