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223 results about "Vascular network" patented technology

The vascular network is a highly polarized structure. Branching points distributed along the vascular channel and the directionality of the new branches form a basis for the polarity.

Non-invasive central aortic blood pressure measuring method and device

The invention discloses a non-invasive central aortic blood pressure measuring method and device. The non-invasive central aortic blood pressure measuring method includes, according to a human artery network model based on viscous fluid mechanics, a method of calculating artery network model personalized parameters of a measured person through measured radial artery and brachial artery pulse wave signals and arm blood pressure values, a method of calculating an ascending aorta-radial artery transfer function and a method of calculating central arterial pressure waveforms through measured central arterial pressures. The non-invasive central aortic blood pressure continuous measuring device comprises a pulse wave signal processing and analysis unit and a radial artery and brachial artery pulse wave signal acquisition unit worn on a wrist. The method is different from an existing general transfer function method, the artery network model parameters of each person to be measured are measured and calculated and the artery network model parameters are numerical characteristics of the cardiovascular system states of the person to be measured with the calculated central arterial pressure waveforms, and the method and device has important meanings in prevention, curing and control of cardiovascular diseases, especially high-risk diseases, such as hypertensions and coronary heart diseases.
Owner:南京茂森电子技术有限公司

Method for automatically identifying and distinguishing eye fundus images

The invention discloses a method for automatically identifying and distinguishing eye fundus images. The method comprises the following steps: obtaining black and white or colored eye fundus image pictures by using eye fundus photographic equipment, and storing the black and white or colored eye fundus image pictures according to a left eye or a right eye; dividing the eye fundus image of the left eye or the right eye into seven regions, which are respectively a first region-optic disk region, a second region-macular region, a third region- macular temporal region, a fourth region- area temporalis superior, a fifth region- area temporalis inferior, a sixth region- superior nasal region and a seventh region- inferior nasal region; and automatically judging that the collected eye fundus image belongs to one of the seven eye fundus regions through the computer graphics according to the optic disk, macular and vascular network information in the eye fundus image. The method disclosed by the invention is used for introducing automatic computer image identification into the processing of the images of the seven eye fundus regions, and extracting feature structures of different eye fundus regions to serve as reference for automatically locating and collecting the eye fundus image, and providing a brand new manner for researchers or film reading doctors to research and read the images of the seven eye fundus regions, so as to greatly improve the film reading efficiency and reduce the error probability.
Owner:成都银海启明医院管理有限公司

A retinal blood vessel morphology quantization method based on a connected region

The invention provides a retinal blood vessel morphology quantization method based on a connected region. The method obtains a retinal blood vessel segmentation image after the fundus image is preprocessed, and then performs post-processing on the blood vessel segmentation image. On this basis, the vascular network is thinned and boundary treated, and the vascular centerline network and vascular boundary map are obtained. Corner detection is then performed and removed from the vascular centerline network so that the vascular segments of the vascular network form separate communication areas. Traversing is performed on the blood vessel segment, approximate the centerline of the blood vessel segments, and the blood vessel segment is changed into a broken line to calculate the direction of the blood vessel. At last, that initial diameter value is calculated, the center of the circle is selected by sliding on the centerline of the blood vessel segment, a semicircle window is created according to the direction of the circle cardiovascular and the diameter value measured in the early stage, and the distance between the window and the two intersection points of the blood vessel boundary is taken as a new diameter value. From this iteration, a set of vessel diameter values are measured, and the median value is the vessel diameter of the vessel segment. The invention is applicable to the quantification of large-scale retinal blood vessel morphology, and has high reliability.
Owner:CENT SOUTH UNIV

Segmentation method and device for blood vessels in fundus image, and storage medium

The invention provides a segmentation method and device for blood vessels in a fundus image, and a storage medium. The method comprises the steps that blood vessel segmentation based on Hessian matrixenhancement is conducted, and a threshold value is adopted for segmentation of the blood vessels; a multi-directional linear structure element is used for open operation processing on a G channel, morphological reconstruction is conducted for further enhancement, the multi-directional open operation is adopted and the minimum response is taken to obtain a background without a linear structure, and two images are subtracted to obtain a main vascular network; secondly, multi-directional Gaussian smoothing filtering and multi-directional Gaussian-Laplace filtering are conducted successively, andmulti-directional morphology and morphological reconstruction are adopted to enhance and preserve the filtered vascular network; finally an adaptive threshold value is determined to segment the bloodvessels; the segmentation results of the above two stages are combined to merge and make the final repair to obtain a final blood vessel binary image. The blood vessel segmentation method can improvethe sensitivity of blood vessel recognition and has better calculation efficiency without the need to train in advance.
Owner:JILIN UNIV
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