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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 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)
This paper develops a volume-based technique, called Volume Sphering Analysis (VSA) which can process all acquired Magnetic Resonance (MR) image slices formed image cube using only one set of training samples obtained from an image slice. So, several significant advantages and benefits can be gained from our proposed VSA. In the past, when MR image(More)
A simple gradient-echo arterial spin tagging (GREAST) technique allows for quick assessment of regional tissue perfusion without the need for exogenous contrast agent. The purpose of this prospective study was to validate GREAST imaging in characterizing the regional perfusion status of focal brain lesions by comparing with relative cerebral blood volume(More)