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59 results for “Magnetic Resonance”
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Research ArticleOpen accessPhrase in the titleExperimental Evaluation of Adaptive Step-Size Based FxLMS Approach for Active Noise Control in Magnetic Resonance Imaging SystemsI. Juvanna, Uppu Ramachandraiah, G. Muthukumaran et al.Magnetic Resonance Imaging (MRI) scanners emit up to 135 decibels of acoustic noise, which is a major source of discomfort for patients and personnel evaluating them during routine medical scans, necessitating the development of a method to reduce the acoustic noise generated during MRI testing. The goal of this study is to propose a frequency-domain Active Noise Control (ANC) method … …Journal of Computer Science, Vol. 18, Issue 12 · 24 Nov 2022 · 5,503 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePhysical Basis of Magnetic Resonance Spectroscopy and its Application to Central Nervous System DiseasesNicolás Fayed, Salvador Olmos, Humberto Morales, Pedro J. ModregoMagnetic Resonance Spectroscopy is based on the chemical shift property of the atom nuclei when a magnetic field is applied. This technique offers invaluable information about living tissues with special contribution to the diagnosis and prognosis of the central nervous system diseases. Concentration of several metabolites can be assessed in a reproducible manner by means of modern clinical scanners. N-acetyl-aspartate … …American Journal of Applied Sciences, Vol. 3, Issue 5 · 31 May 2006 · 7,851 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMorphological Aspects of the Inferior Frontal Gyrus and its Relations with Brain Hemispheres and Gender: A Study with in vivo Magnetic Resonance ImagingSergio Murilo Georgeto, Munir Antônio Gariba, Luiz Roberto AguiarThis study aims to evaluate the reliability of an anatomy-topographic location method for the anatomical references that form the inferior frontal gyrus and compare the findings of both studied brain hemisphere as well as the genre. Two different pulse sequences-gradient-echo T1 (T1 GRE) and reversal recovery gradient-echo T1 (T1 IR GRE) were used for such purpose. The sample consisted of … …Neuroscience International, Vol. 7, Issue 1 · 22 Mar 2017 · 7,272 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCardiovascular Disease Prediction through Ensembled Transfer Learning on Cardiac Magnetic Resonance ImagingSibu Cyriac, Sivakumar R., Nidhin RajuCardiovascular Diseases (CVD) cause more deaths worldwide than most of the other diseases. The diagnosis of cardiovascular disease from Magnetic Resonance Imaging plays a major role in the medical field. The technological revolution contributed a lot to increase the effectiveness of CVD diagnosis. Many Artificial Intelligence methods using Deep Learning models are available to assist the cardiologist in the diagnosis … …Journal of Computer Science, Vol. 18, Issue 11 · 2 Nov 2022 · 6,169 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSpherical and Improved Helmholtz Coil with High B1 Homogeneity for Magnetic Resonance ImagingSidi M. Ahmed Ghaly, Khalid A. Al-Snaie, Obaidullah Khan MohammadSeveral types of volume RF coils such as Helmholtz pair have been used for Magnetic Resonance Imaging. However, the field uniformity of a coil has always been suffering from a critical issue in imaging accuracy. The presented work is a study and design of spherical and improved radiofrequency Helmholtz coil which produces a high B1 magnetic field homogeneity. This coil … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 22 Dec 2016 · 8,159 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleWavelet Statistical Texture Features with Orthogonal Operators Tumour Classification in Magnetic Resonance Imaging BrainR. Meenakshi, P. AnandhakumarTumors medically also called neoplasms are an abnormal mass of tissue resulting from uncontrolled proliferation or division of cells occurring in the human body. If such growth is located in the brain then it is called as brain tumor. Identification of such tumors is a major challenge in the field of medical science. Early identification of tumors prove to be … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,600 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleHeart Localization from Magnetic Resonance Images SequenceAhmed Farag, Mahmoud FakhreldinProblem statement: Heart localization is an important step in cardiac Magnetic Resonance Images (MRI) analysis. This study aims to locate the moving heart region from MRI sequence of images. Approach: The idea is to use the motion detection techniques to isolate the heart region from the background image and then apply morphological operations to construct a moving heart region mask. … …Journal of Computer Science, Vol. 8, Issue 4 · 30 Jan 2012 · 6,852 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFactor Analysis, Target Factor Testing and Model Designing of Aromatic Solvent Effect of the Formyl Proton Nuclear Magnetic Resonance Chemical Shift in Para substituted BenzaldehydesGhazwan F. FadhilProblem statement: The variations of formyl proton Chemical Shifts (CS) of p-substituted benzaldehydes in aromatic solvents were investigated. The validity of several physical solvent and empirical solvent scales was examined. Also, to predict dipolarity-polarizability (π*) solvent scale for some aromatic solvents. Model designing was also achieved to rationalize the aromatic solvent effect on the formyl proton CS. Approach: The previously … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,582 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBrain Tumor Segmentation and Classification Using HardNet Transformer With Gated Recurrent Unit ModelSaida D, Srinivas Adepu, Thade Lakshmi Devi et al.The uncontrolled growth of brain tumor cells presents a severe health risk, making early diagnosis and accurate classification essential for improving treatment outcomes. However, the existing approaches used for segmentation fail to delineate the tumor regions accurately due to a lack of global contextual information of brain tumors, resulting in poor classification performance. To overcome this limitation, this research proposes … …Journal of Computer Science, Vol. 22, Issue 9 · 26 Sep 2026 · 630 accessesView PDFCite
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