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551 results about "Brain vessel" patented technology

Moringa calcium total nutrient and preparation method thereof

The invention discloses a moringa calcium total nutrient and a preparation method thereof. The invention has the core that biomass enzymatic hydrolysis, nanometer dual wall breaking and the whole-course low-temperature extraction new technology are adopted. The moringa calcium total nutrient comprises the following components in percentage by weight: 50-70% of moringa leaf, 10-30% of moringa seed, 10-20% of moringa root and 5-10% of stevia rebaudiana. In the preparation process, the whole-course constant low-temperature ethyl alcohol extraction and the neutral protease, cellulose and pectinase enzymolysis wall breaking technology are adopted, the new technology of distilled water repeated pressure reduction and repeated recycling extraction is adopted, and the effective nutrition ingredient and the bioactivity of the natural original ecology moringa are prevented from being damaged by high temperature and chemical solvent; the new technology of nanometer physics wall breaking and nanometer tower spray drying is adopted to obtain the moringa powder of 100-200 nanometers; the effective ingredient activity of the moringa can be directly adsorbed by the human body tissue cell; the bioavailability of the moringa calcium total nutrient ingredient by the human body can be effectively improved; the moringa calcium total nutrient is suitable for the children growth period, middle and old age calcium supplement and the effective conditioning of people suffering from hyperglycemia, hyperlipidemia, hypertension, heart and cerebral vessel diseases and tumor as well as the sub-health crowd.
Owner:广州天来宝生物科技有限公司

Digital X-ray image contrast enhancement processing method

InactiveCN104574284AIncrease visibilityImage enhancementMicroscope image processingContrast resolution
The invention discloses a digital X-ray image contrast enhancement processing method, and belongs to the technical field of medical instruments. The digital X-ray image contrast enhancement processing method is characterized by comprising the following steps: according to X-ray imaging characteristics, dynamically expanding an interesting human body area image, and dynamically compressing non-human body image information, thereby effectively increasing the contrast of interesting area images; implementing detail enhancement and multi-scale contrast resolution enhancement on images adjusted within a dynamic range, and adjusting the naked eye watching effect of acquired images, thereby completely displaying human body information to a diagnosis doctor. The digital X-ray image contrast enhancement processing method has the advantages that human body image details are conspicuously highlighted, all information of the images can be watched in the same window, lung marking, lung marking tail end renal vessels, bone marking, muscle levels, brain vessels and the like can be all clearly displayed, and the diagnosis skill level can be greatly improved. In addition, on the basis of airspace image processing, the method is high in processing speed and can be applied to a dynamic image processing system.
Owner:NANJING PERLOVE RADIAL VIDEO EQUIP

Cerebrovascular image segmentation method based on multi-attention dense connection generative adversarial network

The invention discloses a cerebrovascular image segmentation method based on a multi-attention dense connection generative adversarial network. The network structure mainly comprises three parts: 1, asegmentation generation network S: based on a U-shaped structure, image feature information is reserved to the maximum extent in a contraction path by using a densely connected convolution layer so as to accurately segment a blood vessel detail contour, and discrimination features are highlighted by using an attention module in an expansion path so as to alleviate confusion of similar regions during segmentation; 2, a segmentation discrimination network D: standard real segmentation is introduced as a condition, a foreground cerebrovascular region is ninput to a densely connected convolutionlayer under the shielding of a segmentation image, and concentrating is carried out on extracting of cerebrovascular region features to distinguish generate segment and truly segment; and 3, deep enhancement of an adversarial loss function: employing deep supervision: a Wasserstein distance adversarial loss, a generative network, an error attention type weighted cross entropy loss are used to focuse on solving a class imbalance problem and reducing a segmentation error. The method can be widely applied to computer-aided diagnosis, treatment and the like of cerebrovascular diseases.
Owner:BEIHANG UNIV
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