Research ArticleOpen accessIn the abstractState of the Art: Practical Approach for Diagosis of Pulmonary EmbolismNarat Srivali, Supawat Ratanapo, Promporn Suksaranjit et al.Pulmonary embolism is one of the leading causes of cardiovascular related death beside myocardial infarction and stroke. Contrary to stroke and myocardial infarction, diagnosis of pulmonary embolism is considered to be much more difficult and complicated compare with the treatment once diagnosis is confirmed. Multiple diagnostic studies including clinical scoring, serum biomarker and diagnostic imaging were developed to help clinician … …Current Research in Medicine, Vol. 3, Issue 2 · 1 Aug 2012 · 7,309 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Algorithm for Lossless Image Compression using Simple Selective Scan order with Bit Plane SlicingS. N. Sivanandam, A. Pasumpon PandianProblem statement: Identifying the new lossless image compression algorithm for high performance applications like medical and satellite imaging; a high quality lossless image is most important when reproduction which leads to classify the data for decision making. Approach: A new lossless hybrid algorithm based on simple selective scan order with Bit Plane Slicing method is presented for lossless Image compression … …Journal of Computer Science, Vol. 8, Issue 8 · 28 Jul 2012 · 7,484 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Enhanced Approach for Medical Brain Image EnhancementJ. Umamaheswari, G. RadhamaniProblem statement: One of the most common degradations in medical images is their poor contrast quality and noise. The DICOM image consists of speckle (multiplicative noise). While the image is enhanced, the multiplicative noise present in the image is also enhanced. Approach: This study describes the hybrid method to improve the image quality of Digital Imaging and Communications in Medicine … …Journal of Computer Science, Vol. 8, Issue 8 · 27 Jul 2012 · 6,964 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Algorithm for Fractal Coding Using Self Organizing MapS. Bhavani, k. ThanushkodiProblem statement: In medical imaging, lossy compression schemes are generally not used due to possible loss of useful clinical information and also degradations may result in lossy compression owing to operations like enhancement. As the medical images are huge in size a good lossy compression technology is required to store them in medical archives in an economical manner. There is … …Journal of Computer Science, Vol. 8, Issue 6 · 15 Mar 2012 · 7,583 accessesView PDFCite
Research ArticleOpen accessIn the abstractFPGA-Based Architecture for a Generalized Parallel 2-D MRI Filtering AlgorithmSami Hasan, Said Boussakta, Alex YakovlevProblem statement: Current Neuroimaging developments, in biological research and diagnostics, demand an edge-defined and noise-free MRI scans. Thus, this study presents a generalized parallel 2-D MRI filtering algorithm with their FPGA-based implementation in a single unified architecture. The parallel 2-D MRI filtering algorithms are Edge, Sobel X, Sobel Y, Sobel X-Y, Blur, Smooth, Sharpen, Gaussian and Beta (HYB). Then, the … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 20 Feb 2012 · 8,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractPecan Weevil Recognition Using Support Vector Machine MethodGhulam Mubashar Hassan, Saleh Mufleh Al-SaqerProblem statement: The Pecan weevil was considered as the most dangerous pest of Pecan fruits. The aim of this research is to evaluate Support Vector Machine method (SVM) for identifying Pecan Weevil among other insects. Eventually, this recognition system will serve in a wireless imaging network for monitoring Pecan Weevils. Approach: SVM has been evaluated using two different kernel functions … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 24 Dec 2011 · 7,926 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review on Recent Research and Implementation Methodologies on Medical Image SegmentationS. K. Somasundaram, P. AlliProblem statement: Image segmentation plays a very important role in digital imaging applications for classifying the anatomical structures and other Regions of Interest. Segmentation refers to the process of identifying and isolating the surface and regions of the digital image which corresponds to the structural units. Approach: In the past few decades, many methods have been proposed to segment the … …Journal of Computer Science, Vol. 8, Issue 1 · 4 Nov 2011 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractSegmentation of Medical Image using Clustering and Watershed AlgorithmsM.C. Jobin Christ, R.M.S. ParvathiProblem statement: Segmentation plays an important role in medical imaging. Segmentation of an image is the division or separation of the image into dissimilar regions of similar attribute. In this study we proposed a methodology that integrates clustering algorithm and marker controlled watershed segmentation algorithm for medical image segmentation. The use of the conservative watershed algorithm for medical image analysis … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 22 Oct 2011 · 8,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractBraun's Multipliers: Spartan-3AN based Design and ImplementationMuhammad H. Rais, Mohammed H. Al MijalliProblem statement: Multiplication is an essential airthematic operation for common Digital Signal Processing (DSP) applications, such as filtering and Fast Fourier Transform (FFT). To achieve high execution speed, parallel array multipliers are widely used. Approach: The field Programmable Gate Arrays (FPGAs) is currently the dominant and viable technology that could be implemented and reconfigured at the same time. Results: The … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 6,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Repetitive Transcranial Magnetic Stimulation on Dystonia: An OverviewSergio Machado, Oscar Arias-Carrion, Flávia Paes et al.Problem statement: Repetitive Transcranial Magnetic Stimulation (rTMS) is a noninvasive procedure whereby a pulsed magnetic field stimulates electrical activity in the brain. Dystonia is characterized by several disabling symptoms for which effective, mechanism-based treatments remain elusive. Approach: Consequently, more advanced non-invasive therapeutic methods were required. A possible method to modulate brain activity and potentially viable for use in clinical practice … …Neuroscience International, Vol. 2, Issue 1 · 29 Jul 2011 · 10,029 accessesView PDFCite