6 results about "Tissue Distributions" patented technology

The present application relates to the technical field of image processing, in particular to a kind of cardiovascular medicine OCT image filtering enhancement method, the method comprises: by obtaining optical coherence tomography OCT image, and the classification distribution parameter and tissue distribution parameter of image, wherein classification distribution parameter is based on the light and dark change of original image and is obtained by classifying original image, and tissue distribution parameter is based on the tissue distribution of original image and is obtained by segmenting original image.Then based on the difference of classification distribution parameter and tissue distribution parameter, determine the noise influence factor of original image, and according to noise influence factor, original image is carried out non-local mean filtering, clear target image that inhibits speckle noise is obtained, finally, target image is enhanced, it is ensured that the OCT image after enhancement retains important structure details, and unnecessary noise interference is reduced.

The invention relates to a method for predicting absorption in medical imaging by providing (S1) an absorption model based on at least one physiological parameter and a tissue distribution, providing (S3) a group of patient data, translating (S4) the group of patient data into a statistical distribution of at least the physiological parameter and determining (S5) a statistical distribution of absorption values ​​for the group with the absorption model as a function of the statistical distribution of the physiological parameter.

This invention discloses a mouse experimental method for detecting the tissue distribution of exogenous oxytocin, belonging to the field of biotechnology. Specifically, oxytocin is injected into or nasally sprayed into oxytocin knockout mice, and body tissues, including but not limited to brain tissue, mammary gland tissue, blood, heart tissue, uterine tissue, bone tissue, and muscle tissue, are collected at different time points. The tissue distribution and content of oxytocin are then detected using liquid chromatography-mass spectrometry (LC-MS / MS). This experimental method allows for a wider range of experimental samples, not just focusing on brain tissue and blood; it also has higher sensitivity and stronger specificity; and by utilizing oxytocin gene knockout mice, it eliminates the influence of endogenous oxytocin, providing certain assistance for subsequent animal experiments and clinical research on oxytocin.

The invention discloses a method and a system for analyzing body components based on abdominal CT (computed tomography) scanning, which effectively solve the problem of spine confusion caused by highly similar structures of adjacent vertebral bodies by introducing a local anatomical marker on an image, and do not need to depend on a large data set to perform remote vertebral body context learning, thereby reducing the data demand and improving the accuracy of the data. And the reliability of spine segmentation is improved. According to the method, a two-stage segmentation strategy is adopted, spine segmentation and body composition segmentation are optimized respectively, the independence and precision of each segmentation task are guaranteed, the strategy can effectively improve the segmentation accuracy, and compared with an existing method, centrum confusion is reduced, and the consistency of measurement results is improved. According to the method, three-dimensional volume measurement of muscle, subcutaneous fat and visceral fat is realized, and compared with a single-slice or multi-slice two-dimensional area inference method, tissue distribution in a whole spine range can be reflected more comprehensively and accurately, so that the volume measurement error is remarkably reduced, and the reference of data is improved.

The invention relates to a method for predicting absorption in medical imaging by providing (S1) an absorption model that is based on at least one physiological parameter and a tissue distribution, providing (S3) a group of patient data, translating (S4) the group of patient data into a statistical distribution of at least the physiological parameter and determining (S5) a statistical distribution of absorption values for the group with the absorption model in dependence upon the statistical distribution of the physiological parameter.

The application provides a sequence composition and a kit for detecting tissue distribution and / or expression level of an AAV vector drug.The sequence composition for detecting tissue distribution and / or expression level of the AAV vector drug provided by the application comprises a first forward primer as shown in SEQ ID NO:1, a first reverse primer as shown in SEQ ID NO:2 and a first probe as shown in SEQ ID NO:4.The sequence composition and the kit provided by the application have the remarkable advantages of being universal, efficient, specific, accurate, sensitive and the like in application, and provide a more optimal solution for detection and research in the related field.