نتایج جستجو برای: biomedical mri
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Wolfram|Alpha Computational Knowledge Engine software, despite all internet search engines, tries to provide the the best answer for a question or compute an equation in the most correct way based on the current knowledge. Therefore, given the unique characteristic of Wolfram|Alpha and its vast applications, the aim of the present article is to familiarize the biomedical scientists with...
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Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Panu Vesanen Name of the doctoral dissertation Combined ultra-low-field MRI and MEG: instrumentation and applications Publisher School of Science Unit Department of Biomedical Engineering and Computational Science Series Aalto University publication series DOCTORAL DISSERTATIONS 87/2013 Field of research Biomedical Engineering...
Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in t...
To know the latest and newest biomedical information' is necessary and a professional responsibility. This is possible with using various sources. Biomedical information sources are various and different factors such as age experience, speciality, practice type and ... have influence on their selection. Orientation with different types of biomedical information sources and the ways of using the...
تصویر برداری mri یکی از بهترین روش های تصویر برداری در مهندسی پزشکی می باشد. یکی از کاربردهای این روش، تصویربرداری از بافت های مغز می باشد. تصاویر mri مغز معمولا دارای دو مشکل غیر یکنواختی و نویز می باشند. که این وارد ناحیه بندی آن ها را مشکل می سازد. در این رساله به بیان یک الگوریتم ترکیبی بر پایه شبکه های عصبی- فازی جهت ناحیه بندی بافت های مغز در تصاویر mri خواهیم پرداخت. چنانچه خواهیم دید ای...
Clinical diagnostic and treatment decisions rely upon the integration of patient-specific data with clinical reasoning. Cancer presents a unique context that influence decisions, given its diverse forms disease evolution. Biomedical imaging allows noninvasive assessment based on visual evaluations leading to better outcome prediction therapeutic planning. Early methods brain cancer characteriza...
The role of predictive algorithm selection on the accuracy of MRI-based prediction of tissue outcome after acute ischemic stroke Mark JRJ Bouts, Elissa McIntosh, Raquel Bezerra, Izzuddin Diwan, Steven Mocking, Priya Garg, William T Kimberly, Ethem M Arsava, William A Copen, Pamela W Schaefer, Hakan Ay, Aneesh B Singhal, Bruce R Rosen, Rick M Dijkhuizen, and Ona Wu Athinoula A. Martinos Center, ...
This paper reports that iron carbide nanoparticles with high air-stability and strong saturation magnetization can serve as effective T2 contrast agents for magnetic resonance imaging. Fe5C2 nanoparticles (~20 nm in diameter) exhibit strong contrast enhancement with an r2 value of 283.2 mM(-1) S(-1), which is about twice as high as that of spherical Fe3O4 nanoparticles (~140.9 mM(-1) S(-1)). In...
Magnetic Particle Imaging (MPI) shows promise for medical imaging, particularly in angiography of patients with chronic kidney disease. As the first biomedical imaging technique that truly depends on nanoscale materials properties, MPI requires highly optimized magnetic nanoparticle tracers to generate quality images. Until now, researchers have relied on tracers optimized for MRI T2*-weighted ...
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