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Magnetic resonance imaging (MRI) plays a critical role in medicine today. Over the last few years, there has been an interest in techniques that use multiple coils on one side of the imaging system such as parallel excitation or parallel imaging to improve performance in high-field MRI. In this paper, we explore the use of multiple coils at both the transmit and receive sides for enhanced imaging...
X-ray computed tomography (CT) scanners provide clinical value through high resolution and fast imaging. However, achievement of higher signal-to-noise ratios generally requires emission of more X-rays, resulting in greater dose delivered to the body of the patient. This is of concern, as higher dose leads to greater risk of cancer, particularly for those exposed at a younger age. Therefore, it is...
Magnetic resonance imaging (MRI) is considered a key modality for the future as it offers several advantages, including the use of non-ionizing radiation and having no known side effects on the human body, and has recently begun to serve as a key component of multi-modal neuroimaging. However, two major intrinsic problems exist: slow acquisition and intrusive acoustic noise. Parallel MRI (pMRI) techniques...
Imaging acoustic noise (IAN) is a confounding factor that undermines the usefulness of functional magnetic resonance imaging (fMRI), especially in auditory related experiments. This paper presents the methods and results of measuring auditory hemodynamic responses (HDR) due to different temporal patterns of IAN using fMRI. Six different temporal patterns of IAN corresponding to acoustic noise generated...
A portable real-time speech processor that implements an acoustic simulation model of a cochlear implant (CI) has been developed on the Apple iPhone / iPod Touch to permit testing and experimentation under extended exposure in real-world environments. This simulator allows for both a variable number of noise band channels and electrode insertion depth. Utilizing this portable CI simulator, we tested...
We employ our previously proposed framework [18] for the analysis of event-related functional magnetic resonance imaging (fMRI) data. In [18], we use a Gaussian blurring kernel to explicitly model the spatial correlation introduced by the scanner. In the present paper, we propose an improved strategy for estimating the extent of this spatial blurring. We also propose a new algorithm for performing...
Chaotic analysis and modeling methods were applied to a small collection of healthy individuals' sleeping EEGs in order to establish whether a common representational space could be discovered for use in comparative analysis. Common challenges were encountered and dealt with in a practical manner. The methods used and the choices made in this effort are described herein. The authors observe and describe...
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