A method for outputting blood flow parameter images under low radiation dose
A parametric image and output method technology, applied in 2D image generation, image enhancement, image data processing, etc., can solve problems such as large calculation errors and inability to provide more stable blood flow parameters, so as to improve safety and reduce X effect of radiation dose
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[0027] In the prior art, the technical solution closest to the present invention is: a. Sparse deconvolution method based on learning high-dose hemodynamic parameter images (Fang et al.2013). This method mainly uses dictionary learning and sparse coding methods to learn characteristic dictionaries from a large number of high-radiation dose, high-quality hemodynamic parameter maps, and then uses sparse coding methods to reconstruct image segments in low radiation doses. . The Gai method uses machine learning and data mining methods to learn structural information from existing medical images, which is used to reduce the radiation dose of CTP and improve the accuracy of blood flow parameter maps. (Fang et al.2013) aimed at learning structural information from blood flow parameter maps with high radiation doses of different patients, while ignoring the patient's own non-contrast CT (Non-contrast CT) and CT blood vessels in the stroke diagnostic imaging scheme Angiography (CTAngi...
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