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We propose a semi-informative aware approach using the topic model on query expansion problem in the biomedicine domain. the demographics and disease information is applied to semi-structure the topic model as the “known” label, compared to the traditional latent topics in topic modelling. Then, we suggest to select three terms from the top ranked documents to expand the query, based on the assumption...
To develop new dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) parameters to quantify the vascular effects of different doses of the antiangiogenic drug sunitinib on renal cell carcinoma (RCC) kidney tumors in mice. Mice bearing established RCC xenograft tumors were treated with sunitinib doses of 10, 20 or 40 mg/kg/day (SU10, SU20 or SU40 respectively) or treated with vehicle only...
Flow and structural related studies of the vasculature of the head and neck have indicated that venous outflow may be obstructed in MS patients, with postulation that this leads to the development or exacerbation of the disease. The current work presented in the following is to determine if there is correlation between abnormal internal jugular vein (IJV) flow and average cerebral blood flow in MS...
A novel algorithm for registering brain images in magnetic resonance imaging is presented. It is based on an improved variant to the classic tensor-based moment-of-inertia rigid body method. Given a reference image and a test to register, binary masks are applied so that only pixels above a given threshold are used for the calculation. Application of a low pass Hanning filter on k-space data is new...
A new automatic skull stripping method for fluid attenuated inversion recovery (FLAIR) MR images is proposed for the quantification of brain volume in multiple sclerosis (MS) patients. The proposed method is based on the use of local moment of inertia structure tensor and morphological operators. The local moment of inertia structure tensor is used to determine the boundary of the brain, instead of...
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