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Xuan V. Nguyen, Devi D. Nelakurti, Engin Dikici, Sema Candemir, Daniel J. Boulter and Luciano M. Prevedello
Background: Distinguishing between the spinal cord and cerebrospinal fluid (CSF) non-invasively on CT is challenging due to their similar mass densities. We hypothesize that patch-based machine learning applied to dual-energy CT can accurately distinguis...
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Viona S. K. Yokhana, Benedicta D. Arhatari and Brian Abbey
The majority of lab-based X-ray sources are polychromatic and are not easily tunable, which can make the 3D quantitative analysis of multi-component samples challenging. The lack of effective materials separation when using conventional X-ray tube source...
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Etsuko Ohmae, Nobuko Yoshizawa, Kenji Yoshimoto, Maho Hayashi, Hiroko Wada, Tetsuya Mimura, Yuko Asano, Hiroyuki Ogura, Yutaka Yamashita, Harumi Sakahara and Yukio Ueda
We previously compared time-domain diffuse optical spectroscopy (TD-DOS) with magnetic resonance imaging (MRI) using various water/lipid phantoms. However, it is difficult to conduct similar comparisons in the breast, because of measurement differences d...
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