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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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Hanguang Xiao, Yuewei Li, Bin Jiang, Qingling Xia, Yujia Wei and Huanqi Li
Lung cancer is the highest-mortality cancer with the largest number of patients in the world. Early screening and diagnosis of lung cancer by CT imaging is of great significance to improve the cure rate of lung cancer. CT signs mean the information of co...
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Tong Zhang, Rui Guo, Haolin Zhang, Hongyu Zhou, Yeyu Cao, Maokun Li, Fan Yang and Shenheng Xu
The change of acoustic velocity in the human thorax reflects the functional status of the respiratory system. Imaging the thorax?s acoustic velocity distribution can be used to monitor the respiratory system. In this paper, the feasibility of imaging the...
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Amélie Cohu, Matias Tramontini, Antoine Chevalier, Jean-Christophe Ianigro and Jacques Marteau
Muon tomography or muography is an innovative imaging technique using atmospheric muons. The technique is based on the detection of muons that have crossed a target and the measurement of their attenuation or deviation induced by the medium. Muon flux mo...
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Hyung Min Kim, Chang Wook Jeong, Cheol Kwak, Cheryn Song, Minyong Kang, Seong Il Seo, Jung Kwon Kim, Hakmin Lee, Jinsoo Chung, Eu Chang Hwang, Jae Young Park, In Young Choi and Sung-Hoo Hong
Patients with brain metastasis (BM) have a better prognosis when it is detected early. However, current guidelines recommend brain imaging only when there are central nervous system symptoms or abnormal experimental values. Therefore, metastases are disc...
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