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Early diagnosis of breast cancer
(2017-07-05) Wang, Lulu; Department of Engineering
Early-stage cancer detection could reduce breast cancer death rates significantly in the long-term. The most critical point for best prognosis is to identify early-stage cancer cells. Investigators have studied many breast diagnostic approaches, including mammography, magnetic resonance imaging, ultrasound, computerized tomography, positron emission tomography and biopsy. However, these techniques have some limitations such as being expensive, time consuming and not suitable for young women. Developing a high-sensitive and rapid early-stage breast cancer diagnostic method is urgent. In recent years, investigators have paid their attention in the development of biosensors to detect breast cancer using different biomarkers. Apart from biosensors and biomarkers, microwave imaging techniques have also been intensely studied as a promising diagnostic tool for rapid and cost-effective early-stage breast cancer detection. This paper aims to provide an overview on recent important achievements in breast screening methods (particularly on microwave imaging) and breast biomarkers along with biosensors for rapidly diagnosing breast cancer.
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Dawn of a New Era : [Editorial]
(2017-07-01) Thorisson, Kristinn R.; Department of Computer Science
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Post-disaster psychosocial support and quality improvement : A conceptual framework for understanding and improving the quality of psychosocial support programs
(2015-06-01) Dückers, Michel L.A.; Thormar, Sigridur B.; Department of Psychology
This article is original in that it addresses post-disaster psychosocial support programs from a quality-improvement perspective, not from the traditional viewpoint of mental health services. Based on a combination of renowned quality models, a framework is sketched that offers chances to better understand and optimize the quality of post-disaster psychosocial service delivery. The quality is reflected in the program's structure, process, and outcome. Moreover, quality can be expressed in scores per criterion (i.e. need centeredness, effectiveness, safety, timeliness, efficiency, and equity) that are proposed to be related to the "attitude" (more passive or active) toward affected people. When quality and attitude are combined in a 2-D parabolic model, psychosocial support is preferably found in the middle of the attitude-axis (high quality); extremely passive or active positions are to be avoided (low quality). Well-timed assessments of structure, process, and outcome aspects, and associations between them, will help planners, providers, and evaluators understand if the optimum is reached, as well as provide guidance for quality improvement.
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Three-dimensional far-field holographic microwave imaging : An experimental investigation of dielectric object
(2015) Wang, Lulu; Simpkin, Ray; Al-Jumaily, Ahmed M.; Department of Engineering
This work presents experimental investigations of three-dimensional (3-D) far-field holographic microwave imaging (HMI) method for diagnosing inclusions within dielectric objects, and in particular, it relates to electromagnetic imaging to reconstruct dielectric properties of inhomogeneous, lossy bodies with arbitrary shape. The apparatus is designed for operation at a single frequency of 12.6GHz. 16 antennas are located on a 2-D array plane which is placed under the object in the far-field region, with air in the space between the antenna array and the object. Experimental results indicate that the 3-D HMI system has the ability to produce a 3-D image of multimedia dielectric object and detect small inclusions embedded within an object. The invention has potential application to tissue imaging.
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Imaging of 3-D dielectric objects using far-field holographic microwave imaging technique
(2015) Wang, Lulu; Al-Jumaily, Ahmed M.; Simpkin, Ray; Department of Engineering
This paper describes the working principle of a three-dimensional (3-D) holographic microwave imaging (HMI) method for imaging small inclusion embedded in a dielectric object. Using published dielectric properties of various materials, a 3-D mathematical model is developed under the MATLAB environment to validate the HMI on various dielectric objects. Results indicate that the 3-D HMI has an ability to produce a 3-D image and detect small inclusions embedded within a dielectric object. Several potential applications of the 3-D HMI method includes biological tissues imaging, security screening and packaged food evaluation.

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