نتایج جستجو برای: medical flow imaging
تعداد نتایج: 1458971 فیلتر نتایج به سال:
Background & Aim: Molecular imaging enables us to non-invasively visualize tissue microstructures and lesion characterization, allowing accurate diagnosis of diseases at early stages. A successful molecular imaging requires a nontoxic contrast agent with high sensitivity. Nowadays, a wide range of nanoparticles have been developed as contrast agents for medical imaging modalities. Here, we revi...
Current practice in vascular surgery utilizes only diagnostic and empirical data to plan treatments, and does not enable quantitative a priori prediction of the outcomes of interventions. We have previously described simulation-based medical planning methods to model blood flow in arteries and plan medical treatments based on physiologic models[1, 2]. These methods utilize computationally inten...
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background: inadequate use of these techniques probably increases the risks of radiography. this study has been accomplished in 2016 to determine medical students and residents of birjand university of medical science awareness levels of principles of protection in radiologic imaging. methods: in this descriptive research, all medical students, including externs, interns, radiology residents an...
Primary thyroid lymphoma (PTL) is a rare thyroid malignancy. Clinical diagnosis of PTL may not be easily established based on imaging studies, as the imaging features of PTL are similar to those of lymphocytic thyroiditis and primary thyroid cancer. The present study describes the case of a patient who was confirmed to have PTL by intra-operative pathological diagnosis. On color Doppler ultraso...
We study, in this paper, the problem of denoising images/data which are defined over non-flat surfaces. This problem arises often in many medical imaging tasks. The Beltrami flow which was defined in an explicit-intrinsic manner is generalized here to non-flat surfaces and is defined in an implicit way. We formulate the flow in a variational way which is generalized to a scalar field defined ov...
Nonlinear partial differential equations (PDE) are now widely used to regularize images. They allow to eliminate noise and artifacts while preserving large global features, such as object contours. In this context, we propose a geometric framework to design PDE flows acting on constrained datasets. We focus our interest on flows of matrixvalued functions undergoing orthogonal and spectral const...
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