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Image Processing Methods for Diagnostic and Simulation Applications in Cardiology

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The paper describes two particular applications of image processing for the purpose of analysis and simulation in the field of cardiology. The authors describe a method which allows for combining the 2D image obtained in ECHO examination, and a 3D model of heart, extracted from a set of CT slices. The fused image provides an intuitive view on the contractual function of heart, by overlaying the bull's eye diagram on the model of left ventricle. By preserving the spatial information, it is possible to accurately point the location of areas with impaired contractual function. Another method described by the authors, displays the use of the CT volume for simulation of echocardiography images for purpose of training application. A simple approach based on pixel brightness adaptation is used to provide images of sufficient training quality. At the same time authors highlight the issues of storage and run-time memory requirement of such application, and suggest a method of reducing the working set size.
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  • Lodz University of Technology, Department of Microelectronics and Computer Science, Wólczańska 221/223, 90-924 Łódź
Bibliografia
  • [1] JENSEN J.A., Simulation of advanced ultrasound systems using Field II, IEEE International Symposium on Biomedical Imaging, 2004, pp 636-639
  • [2] SCHROEDER W., MARTIN K., LORENSEN B., The Visualization Toolkit An Object-Oriented Appro ach To 3D Graphics, 4th Edition, Kitware, Inc. Publishers, 2006
  • [3] NARKBUAKAEW W., SOTTHIVIRAT S., GANSAWAT D., et al., 3D Surface Reconstruction of Large Medical Data Using Marching Cubes in VTK, The 3rd International Symposium on Biomedical Engineering (ISBME 2008), pp. 64-67
  • [4] National Electrical Manufacturers Association, Digital Imaging and Communications in Medicine (DICOM), Standard specification, 2009.
  • [5] SHAMS R., HARTLEY R., NAVAB N., Real-Time Simulation of Medical Ultrasound from CT Images, Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention, pp. 734-741, 2008
  • [6] SUN B., MC KENZIE F., Real-Time Sonography Simulation for Medical Training, International Jour nal of Education and Information Technologies, Vol. 5, No. 3, pp. 328-335, 2011
  • [7] KUTTNER O., SHAMS R., NAVAB N., Visualization and GPU-accelerated simulation of medical ultrasound from CT images, Computer Methods and Programs in Bio medicine, Vol. 94, pp. 250-266, 2009
  • [8] PIÓRKOWSKI A., KEMP NY A., The Transesophageal Echocardiography Simulator Based on Computed Tomography Images, IEEE Transactions on Biomedical Engineering, in print
  • [9] G.T Herman, A. Kuba, “Discrete tomography in medical imaging”, Proceedings of the IEEE, 2003
  • [10] LO Murta-Jr, A. Pazin-Filho, A. Schmidt, OC Almeida -Filho, JA Marin-Neto, BC Maciel, "Segmental Quantitative Analysis of Myocardial Contrast Echocardiography Im ages Using a Bullseye Representation", Computers in Cardiology, 2003
  • [11] H. Belghitia, S. Brette, S. Lafitte "Automated Function imaging: A new operator independent strain method fo r assessment of left ventricular function.", Cardiovasc Dis, 2008
  • [12] I. Cheng, A. Badalov, C. Silva and A. Basu "Effects of Texture and Color on the Perception of Medical Images", Engineering in Medicine and Biology Society, 20082008
  • [13] Digital Imaging and Communications in Medicine (DICOM) , Standard specification, National Electrical Manufacturers Association, 2009.
  • [14] O.Gaemperli, F.M. Bengel, P. A. Kaufmann “Cardiac hybrid imaging”, European Heart Journal 2011 (32)
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Bibliografia
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bwmeta1.element.baztech-article-LODD-0002-0040
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