I received a Bachelor and Master degree of Engineering in the major of Optical Engineering and Instrumentation from Shanghai Institute of Mechanical Engineering, China, and a doctoral degree of Electrical Engineering from University of Delaware, USA, in 1993.
During 1993 to 2013, I have been working in the Medical Imaging Research Center, University of Pittsburgh. My research interest and work focused on the development and evaluation of computer-aided detection and diagnosis (CAD) schemes of medical images that include mammograms and magnetic resonance image (MRI) for breast cancer, computed tomography (CT) images for lung diseases, and microscopic cytogenetic images for leukemia and cervical cancer. After joining the faculty in University of Oklahoma in May 2013, I continue my research work in the fields of developing and optimizing interactive CAD schemes that aim to provide clinicians “visual-aided” tools in cancer diagnosis, developing and validating the computerized biomarkers extracted from the biomedical images and electrical signals in order to help improve accuracy and reliability of assessing cancer prognosis and treatment efficacy.
During 1993 to 2013, I have been working in the Medical Imaging Research Center, University of Pittsburgh. My research interest and work focused on the development and evaluation of computer-aided detection and diagnosis (CAD) schemes of medical images that include mammograms and magnetic resonance image (MRI) for breast cancer, computed tomography (CT) images for lung diseases, and microscopic cytogenetic images for leukemia and cervical cancer. After joining the faculty in University of Oklahoma in May 2013, I continue my research work in the fields of developing and optimizing interactive CAD schemes that aim to provide clinicians “visual-aided” tools in cancer diagnosis, developing and validating the computerized biomarkers extracted from the biomedical images and electrical signals in order to help improve accuracy and reliability of assessing cancer prognosis and treatment efficacy.
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A Contrast-Detail phantom is imaged by 59 kV and 89 kV systems with a CCD camera and varying filter thicknesses, ranging from 1.0 mm to 3.3 mm of aluminum. The average glandular radiation dose is set to 1.3 mGy throughout the experiment, regardless of imaging parameters. The Contrast-Detail (CD) curves are generated from the reading results of three experienced observers. The Contrast-to-Noise-Ratio (CNR) is calculated for objective comparisons. The results show that the beam hardening with 1.3 and 2.5 mm aluminum filters in the 59 kV system provides the most desirable CNRs and CD curves, whereas a 3.3 mm aluminum might be a preferable external filtration in the 89 kV system. It can be concluded that the 59 KV beam, filtered by a 1.3 mm aluminum, is a better choice, as it results in comparable image quality and a 35% shorter exposure time. On the other hand, the 89 KV beam filtered by 3.3 mm aluminum results in higher image quality at the expense of slightly increased acquisition time. The prolonged acquisition effect on the image blurring should be evaluated in patient studies where the object is not immobile like imaging phantoms.
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors
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