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102 articles for “resonance”
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Research ArticleOpen accessIn the keywordsMRI Observation and Analysis of Muscle Activity During ExerciseLi-Chang Zou, Hong-Wu LiWhile conventional biomechanical testing techniques are able to determine the mechanical characteristics of muscle tissue, they do not offer precise insight into how muscle metabolism and microstructure change in response to various types of exercise activities over the course of time. Using Magnetic Resonance Imaging (MRI) analysis of muscle tissue allows researchers to examine how different levels of intensity affect … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 30 Jul 2026 · 1,025 accessesView PDFCite
Literature ReviewOpen accessIn the keywordsIntracranial Atherosclerotic Disease: Treatment Potential and Diagnostic OpportunitiesAnastasia Vladimirovna Poznyak, Victoria Alexandrovna Khotina, Anton Yuvenalievich Postnov et al.Atherosclerosis, characterized by the accumulation of atherosclerotic plaques within large arteries, substantially increases the risk of cardiovascular events, including ischemic stroke. Intracranial atherosclerotic disease (ICAD) represents a particularly significant clinical threat given its strong association with ischemic stroke across multiple intracranial arterial territories. This review provides a comprehensive analysis of the pathogenesis, diagnosis, and management of intracranial atherosclerosis. Special attention … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 5 May 2026 · 1,093 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An AppraisalKavery Verma, Subodh Srivastava, Ritesh Kumar MishraDigital medical images acquired from the brain are highly susceptible to noise, which causes significant challenges for radiologists to identify abnormalities in a precise manner. Noise interference hampers both diagnostic accuracy and the interpretation of underlying abnormalities, potentially leading to flaw conclusions. Magnetic Resonance (MR) imaging is the most preferred digital imaging technique for brain abnormality detection. To achieve precise … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,462 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel SIFT-SVM Approach for Prostate Cancer DetectionSwetha Parvatha Reddy Chandrasekhara, Mohan Govindsa Kabadi, SrivinayProstate cancer is a major cause of concern in male population as it is said to affect 1 in every 7 men in their lifetime. The number of cases being registered for prostate cancer and its mortality rates are increasing yearly at an alarming rate. Due to the high resolution and multi-dimensionality of the Magnetic Resonance Imaging (MRI) images, proper … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 7,524 accessesView PDFCite
Review ArticleOpen accessIn the keywordsNikola TESLARelly Victoria Virgil Petrescu, Raffaella Aversa, Antonio Apicella et al.Nicolae Tesla, has remained and spent most of his life, making it hard to pronounce "Teslea"), is considered to be the inventor of the alternating current and uncovered cableless power transmission. It is attributed to the transmission of energy through monophase, biphasic, polyphase alternating currents and transmission of non-wired energy by electromagnetic waves (oscillations) in the industrial alternating current frequency … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 6 Nov 2017 · 13,193 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDenoising Methods for MRI ImagerySamuel KozaitisThere are several new denoising algorithms that may be useful for magnetic resonance imaging. We compared the performance of some of the latest denoising algorithms with those that have been developed specifically for MRI imagery. We found that the latest approaches show impressive performance in terms of mean squared error, but a measure based on perceptual quality may be needed … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 30 Aug 2017 · 7,478 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Quantum Mechanical Study of Structural and Electronic Dilution Effects in Paramagnetic Chemical Exchange Saturation Transfer AgentsWhelton A. Miller III, Preston B. MooreWe present a computational study of the effect of chemical modifications of the meta and para substituents in the coordinating pendant arm of a modified 1,4,7,10-tetraazacyclododecane-N, N’, N’’, N’’’-tetraamide (DOTAM) ligand on the Chemical Exchange Saturation Transfer (CEST) signal. Magnetic Resonance Imaging (MRI) is currently one of the most widely used techniques available. MRI has led to a new class … …Journal of Organic and Biomolecular Simulations, Vol. 1, Issue 1 · 11 Dec 2013 · 28,364 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORKS. Karpagam, S. GowriNeural networks are a computational paradigm model of the human brain that has become popular in recent years. We have tried to address the problem of Glioma by creating a more accurate classifier which can act as an expert assistant to medical practitioners. Brain stem gliomas are now recognized as a heterogenous group of tumors. In this study proposed a … …Journal of Computer Science, Vol. 9, Issue 11 · 1 Oct 2013 · 6,693 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIgG Subclass Variation of a Monoclonal Antibody Binding to Human Fc-Gamma ReceptorsRekha Patel, Krista K. Johnson, Bruce A. Andrien, Paul P. TamburiniThe importance of human Fc receptors in immune regulation is well known. Their role is critical not only in the recruitment of cellular effector functions but also in regulating the balance in the periphery between autoimmunity and tolerance. Despite their central importance, there is a dearth of literature on controlled numeric comparisons in affinities of antibody subclasses for gamma receptors. … …American Journal of Biochemistry and Biotechnology, Vol. 9, Issue 3 · 21 Sep 2013 · 8,065 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMedical Image Compression with Lossless Region of Interest Using Adaptive Active ContourR. Loganathan, Y. S. KumaraswamyProblem statement: With increasing bandwidth, digital medical image storage and transmission is a boon to patients and health professionals alike. Medical images are available instantly and avoid the need to carry the data physically. Popular imaging techniques extensively used in medicine include X-Ray, Magnetic Resonance Imaging (MRI), Ultrasound and Computed Tomography (CT). The images produced from the above techniques can … …Journal of Computer Science, Vol. 8, Issue 5 · 1 Mar 2012 · 7,723 accessesView PDFCite