3D High Resolution Diffusion-Weighted MRI at 3T: Preliminary Application in Patients undergoing Active Surveillance Protocol for Low-Risk Prostate Cancer Christopher Nguyen, Zhaoyang Fan, Ali Afshar, Yibin Xie, Rola Saouaf, Hyung Kim, and Debiao Li Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, Bioengineering, University of California Los Ang...

Detailed understanding of the complexities of flow and in biological materials is essential for the design, development, and optimization of MRI protocols for medical and biomedical applications. However, the design of such processes resort to trial and error, because the mathematics and physics of most experimental techniques are fundamentally limited. In this study, we develop a new magnetic ...

There exist different methods to analyze and study biomedical signals. Some of these methods are based on medical imaging, involving Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Nuclear Scintigraphy, etc. This techniques show the image of a specific part of the human body. But there exits other methods which study the different signals based in 1-dimensional analysis, such as Ele...

Regional quantification of cerebral venous oxygenation from MRI susceptibility mapping during hypercapnia Audrey P Fan, Karleyton C Evans, Jeffrey N Stout, Bruce R Rosen, and Elfar Adalsteinsson Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United ...

Optimal Decision Tree for Classification of Benign and Malignant Ovarian Masses Based on DCE-MRI Quantitative Parameters Employing Hierarchical Clustering Approach Anahita Fathi Kazerooni, Mohammad Hadi Arabi, Elahe Kia, and Hamidreza Saligheh Rad Medical Physics and Biomedical Engineering Department, School of Medicine,Tehran University of Medical Sciences, Tehran, Tehran, Iran, Quantitative M...

J. O. Cleary, A. N. Price, D. L. Thomas, P. J. Scambler, V. Kyriakopoulou, R. J. Ordidge, and M. F. Lythgoe Centre for Advanced Biomedical Imaging, University College London, London, United Kingdom, Department of Medical Physics and Bioengineering, University College London, London, United Kingdom, Wellcome Trust Advanced MRI Laboratory, University College London, London, United Kingdom, Molecu...

We determine a statistic called the (radially) persistent angular structure (PAS) from samples of the Fourier transform of a three-dimensional function. The method has applications in diffusion magnetic resonance imaging (MRI), which samples the Fourier transform of the probability density function of particle displacements. The PAS is then a representation of the relative mobility of particles...

Abstract The brain is the most vital component of neurological system. Therefore, tumor classification a very challenging task in field medical image analysis. There has been qualitative leap artificial intelligence, deep learning, and their imaging applications last decade. importance this remarkable development emerged biomedical engineering due to sensitivity seriousness issues related it. u...

the importance of nanotechnology in medical technologies, especially biomedical diagnostics, is indubitable. by taking advantages of nanomaterials, many medical diagnostics methods have been developed so far, including electrochemical nanobiosensors. they have been used for quantification of different clinical biomarkers for detecting, screening, or follow up a disease. micrornas (mirnas) are o...