34 results about "Lesion analysis" patented technology

A system and method for performing quantitative lesion analysis in molecular breast imaging (MBI) using the opposing images of a slightly compressed breast that are obtained from the dual-head gamma camera. The method uses the shape of the pixel intensity profiles through each tumor to determine tumor diameter. Also, the method uses a thickness of the compressed breast and the attenuation of gamma rays in soft tissue to determine the depth of the tumor from the collimator face of the detector head. Further still, the method uses the measured tumor diameter and measurements of counts in the tumor and background breast region to determine relative radiotracer uptake or tumor-to-background ratio (T / B ratio).

The invention discloses a real-time control method for ultrasonic scanning. The real-time control method for ultrasonic scanning includes: obtaining multiple ultrasonic images aimed at human chest continuously collected by an ultrasonic probe at designated coordinates; judging the integrity of each ultrasonic image, and Store at least three ultrasound images whose completeness meets the requirements; calculate the correlation coefficient between the stored ultrasound images, and store the ultrasound images with a correlation coefficient higher than the first preset threshold as an image sequence; calculate the correlation coefficient in the image sequence If the sharpness of each ultrasonic image is lower than the second preset threshold, the pose of the ultrasonic probe is adjusted according to the specified coordinates and the ultrasonic image is acquired again. The invention realizes the real-time control of the movement of the ultrasonic probe through the feedback of the ultrasonic image, thereby ensuring that the ultrasonic image finally acquired by the ultrasonic probe in a designated area can clearly and completely display all pathological structures and meet the requirements of lesion analysis.

The invention discloses an osteomyelitis lesion analysis method based on medical image registration. The present invention extracts the lesion area of ​​osteomyelitis through accurate registration of images collected in different periods before and after operation, and allows doctors to intuitively and accurately observe and judge the development of the lesion at the same position through synchronous display browsing, gray value measurement and other technologies Recovery after surgery. The present invention includes the following steps: 1) Firstly, two-by-two registration is performed on the CBCT image data sets collected at different times before and after the operation using a multi-resolution registration method based on mutual information; one of the data sets is taken as the original data set, and the other is used as the target Data set; 2) In the registered image, the lesion area is extracted by sampling and analyzing the difference between the two images; 3) The lesion area is analyzed using the histogram and the evaluation result is output. The overall flowchart of the method is shown in Figure 1. The invention has the beneficial effect of greatly saving the diagnosis time of doctors, and has great application prospects in clinical diagnosis.

The invention discloses a transfer learning-based method for establishing an intracranial blood vessel enhanced three-dimensional model. The method comprises the following steps of: acquiring a bright blood image group, a black blood image group and an enhanced black blood image group of an intracranial blood vessel part; performing registration on each bright blood image by using a registration method based on mutual information and an image pyramid by taking the corresponding enhanced black blood image as a reference to obtain a registered bright blood image group; performing empty flow artifact elimination operation on the enhanced black blood images in the enhanced black blood image group by using the registered bright blood image group to obtain an artifact-eliminated enhanced black blood image group; subtracting corresponding images in the artifact elimination enhanced black blood image group and the black blood image group to obtain K contrast enhanced images; establishing a blood three-dimensional model by using the registered bright blood image group and a transfer learning method; establishing a blood vessel three-dimensional model for blood boundary expansion by using the registered bright blood image group; according to the method, the overall state of the intracranial blood vessel is clinically, conveniently, rapidly and visually obtained so as to carry out intracranial vascular lesion analysis.

The present invention relates to a Raman probe for in-vivo and in-situ puncture diagnosis. The Raman probe is in a puncture type, and can enter organ tissues in a human body for performing in-vivo and in-situ puncture detection and reduce damage by using an elongated needle for puncture or needle for biopsy to extend a conventional Raman probe. Optical components in a puncture needle cavity can achieve the extension of the incident light and the collection of scattered light. The Raman probe has the advantages of simple structure, convenient disassembly, easy disinfection, reusability, and high sensitivity and reliability, is suitable for in-vivo and in-situ detection of organ tissues and lesion analysis, and provides support and help for early accurate diagnosis and timely and accurate treatment for tumors. The Raman probe can be used for detecting the difference of the molecular structure of the biological tissue, and can also diagnose whether the organ tissue in the organism undergoes mutation or not according to the detected Raman signal.

The invention relates to a tissue culture early warning method based on lesion monitoring, comprising: obtaining real-time monitoring image information of tissue culture monitoring points in a tissue culture room; preprocessing the real-time monitoring image information to obtain a preprocessed image, and then grayscale , to obtain a grayscale image; edge detection is performed on the grayscale image to extract the contour of the lesion, and then contour filtering and contour area growth analysis are performed in sequence to obtain the lesion analysis result; the lesion analysis result is sent to the user, if the result shows If it belongs to the lesion area, an early warning will be given. The present invention preprocesses, grayscales, and detects lesion on the collected tissue culture images through the server side, and according to the detection results, reminds the management personnel through mobile phone text messages, signal lights and PC terminals, and finds suspected germ-infected groups. According to the prompt information, the management personnel can specifically check whether there is tissue culture infected by bacteria in the alarm area, and perform corresponding operations.