![]() Wang, Shenghao Han, Huajie Gao, Kun Wang, Zhili Zhang, Can Yang, Meng Wu, Zhao Wu, Ziyu ![]() Also, it could facilitate sharing of medical image databases and collaboration amongst researchers and clinicians, regardless of location.Ī user-friendly LabVIEW software platform for grating based X-ray phase-contrast imaging. It can become an easily accessible resource over the Internet to promote the learning and of understanding image processing algorithms. Our software tool supports various image processing techniques commonly used in medical image processing and can run without the need of any specialized hardware. These performance numbers demonstrate the feasibility of using this software interactively on desktop computes. ![]() A window/level operation took 0.38 seconds while a 3 X 3 median filter took 0.71 seconds. Using a 512 X 512 X 8-bit image, a 3 X 3 convolution took 0.88 seconds on an Intel Pentium Pro PC running at 200 MHz with 64 Mbytes of memory. The software is then able to access and process any image on the iNternet or on the local computer. Future versions of the operating systems supplied by Sun, Microsoft, Apple, IBM, and others will include Java interpreters. In order to use the tool, the user needs to download the software from our site before he/she runs it using any Java interpreter, such as those supplied by Sun, Symantec, Borland or Microsoft. It was compiled and tested using Microsoft's Visual Java 1.0 and Microsoft's Just in Time Compiler. The software was written in Java - the new programming language developed by Sun Microsystems. The tool is a general purpose, easy to use, flexible, platform independent image processing software package with functions most commonly used in medical image processing.It provides for processing of medical images located wither remotely on the Internet or locally. We have developed a software tool for image processing over the Internet. Platform-independent software for medical image processing on the Internet The software platform can be exploited also for educational purposes. The improved visibility of mammographic structures suggests further investigation and optimisation of phase contrast x-ray breast imaging, especially when abnormalities are present. The application of the platform is demonstrated in a feasibility study for phase contrast images of complex inhomogeneous and anthropomorphic breast phantoms, compared to x-ray images generated in absorption mode. The visual and quantitative results of the validation process showed an overall good correlation between simulated and experimental images and show the potential of this platform for research in phase contrast x-ray imaging of the breast. The software platform was used to design computational phantoms that mimic those used in the experimental study and to generate x-ray images in absorption and phase contrast modes. To test and validate the platform, several phantoms differing in their complexity were constructed and imaged at 25 keV and 60 keV at the beamline ID17 of the European Synchrotron Radiation Facility. Projection images are generated in an in-line acquisition geometry. These modules were updated to take into account the refractive index for phase contrast imaging as well as implementation of the Fresnel-Kirchhoff diffraction theory of the propagating x-ray waves. The software platform, developed at the Technical University of Varna on the basis of a previously validated x-ray imaging software simulator, comprises modules for object creation and for x-ray image formation. To present and validate a computer-based simulation platform dedicated for phase contrast x-ray breast imaging research. Furthermore, it could be used to classify images including from other anatomical parts such as breast or lung, after proper re-training of the classification algorithms.Ī software platform for phase contrast x-ray breast imaging research.īliznakova, K Russo, P Mettivier, G Requardt, H Popov, P Bravin, A Buliev, I The proposed software platform has a friendly and clear graphical user interface and could be a useful second-opinion tool to a dermatologist. The automated selection of a ROI includes filtering for smoothing the image and thresholding. Furthermore, it provides suitable tools for selecting, either manually or automatically, a region of interest (ROI) on the image. ![]() The platform supports image formats such as Windows bitmaps, JPEG, JPEG2000, portable network graphics, TIFF. The platform provides the capability for reading a file that contains a dermatology image. The purpose of this paper is to present a software platform developed in Python programming environment that can be used for the processing and analysis of dermatology images. ![]() Vlassi, Maria Mavraganis, Vlasios Asvestas, Panteleimon A software platform for the analysis of dermatology images ![]()
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