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Patient safety has become an important issue due to medical errors. Some health care systems use Radio Frequency Identification (RFID) to identify patients during medical procedures. However, the RFID data readability especially depends upon the environment, an investigation of data reliability and signal loss is essential to making an effective deployment(More)
PURPOSE To effectively perform quantification of brain normal tissues and pathologies simultaneously, independent component analysis (ICA) coupled with support vector machine (SVM) is investigated and evaluated for effective volumetric measurements of normal and lesion tissues using multispectral MR images. MATERIALS AND METHODS Synthetic and real MR data(More)
Blindly separating images prior to applying tissue-contrast-enhancing algorithms shows clear improvements over current techniques. Imaging using magnetic resonance (MR) provides superior soft-tissue contrast resolution over other screening techniques used in medicine. Analysis of the images is generally performed by spatial-domain-analysis-based processing(More)
BACKGROUND Primary nasal natural killer (NK)/T-cell lymphoma is the most common cellular subtype seen in nasal lymphomas. It is rare in the Western population but occurs more frequently in Asia, South America, and Mexico. The purpose of this study was to describe the computed tomography (CT) and magnetic resonance (MR) imaging findings of primary nasal(More)
BACKGROUND Traditional digital subtraction angiography (DSA) is currently the gold standard diagnostic method for the diagnosis and evaluation of cerebral arteriovenous malformation (AVM) and dural arteriovenous fistulas (dAVF). OBJECTIVES The aim of this study was to analyze different less invasive magnetic resonance angiography (MRA) images,(More)
A new TRIO algorithm method integrating three different algorithms is proposed to perform brain MRI segmentation in the native coordinate space, with no need of transformation to a standard coordinate space or the probability maps for segmentation. The method is a simple voxel-based algorithm, derived from multispectral remote sensing techniques, and only(More)
BACKGROUND C-arm cone-beam computed tomography (CBCT) is a comparatively novel modality for guiding percutaneous transthoracic lung biopsies (PTLBs), and despite its potential advantages over conventional computed tomography (CCT), a head-to-head comparison of the two techniques has yet to be reported in the literature. This study aims to evaluate the(More)