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Radiomics, an emerging field of quantitative imaging, encompasses a broad class of analytical techniques. Recent literature have interrogated associations between quantitatively derived GLCM-based texture features and clinical/pathology information using machine learning algorithms in many cancer settings, but often fail to elucidate the predictive power of these features. Moreover, for many cancers...
In this paper a synthetic aperture (SA)-based ultra wideband (UWB) imaging system with broadband adaptive processing is proposed for general medical applications (e.g. breast cancer, water accumulation in bladder, etc.). For the signal processing, a broadband version of minimum variance distortionless response (MVDR) is implemented. To demonstrate the efficiency of the method, it is applied to an...
This paper studies the decomposition of the time reversal operator (DORT, by the French acronym) technique for microwave breast lesion classification. We apply the finite-difference time-domain (FDTD) method to a realistic numerical breast phantom where lesion-like targets are artificially introduced, and obtain the multistatic data matrix (MDM) for a particular antenna array configuration. Then,...
This paper presents an automatic segmentation system aimed at tracking the tumor volume during a therapeutic treatment from MRI images (an examination every four months). An improved level set method is proposed to automatically segment the tumor slice by slice for each examination and tracking the segmented volume for the following examinations. An initial slice with a seed is firstly chosen by the...
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