Research On Automatic Analysis Of Medical Ultrasonic Gray-scale Detection Images

In recent years,medical ultrasound equipment has rapid development in the field of imaging.Ultrasound equipment has its unique non-destructive,real-time and low-cost,and has been widely used in clinical field,including cardiovascular disease,abdominal examination and gynecological examination.Therefore,the quality of medical ultrasound image is very important,and engineers need to regularly detect the quality of the medical ultrasound in the hospital.At present,there are three kinds of detecting devices for medical ultrasonic image in China,Detecting the characteristic parameters of medical ultrasonic gray scale image,detecting the blood flow parameters of medical ultrasonic and detecting the safety parameters of medical ultrasonic.Detect gray scale image characterization parameters detection device which has been widely used,the detection device is used for testing medical ultrasonic equipment of gray-scale image detection depth,the axial resolution,lateral resolution,blind area,geometric position error and cystic focal diameter error value for two-dimensional gray-scale imaging performance parameters,such as,this a series of parameters is to measure the performance of medical ultrasound gray-scale image of the important parameters.At present,the measurement and ranging of various parameters of medical ultrasonic equipment mainly relies on the measuring tools of medical ultrasonic equipment system.The target point is selected later to select the initial point and the cut-off point for visual inspection.There will be a certain deviation in accuracy.In addition,as the application of medical ultrasound becomes more and more extensive and more important in medical imaging system,more and more medical ultrasound needs to be tested regularly for quality control.Currently,there are relatively few medical ultrasonic testing professionals,which cannot meet the increasing demand of the number of tests.With the increasing demand of medical ultrasonic imaging equipment,it is necessary to explore a method for automatic detection of grayscale image parameters,hoping to improve the detection efficiency and accuracy of detection parameters through this method.In this paper,the gray scale detection image is preprocessed,and the gray scale transformation,gray scale image denoising,gray scale image enhancement and gray scale image segmentation are introduced successively,which provides a foundation for the gray scale detection image measurement.Then the image processing is carried out by combining the grey level detection image instances,and the useful information points in the grey level detection image are extracted and measured by image binarization,image mean filtering and image segmentation.Finally,the measurement values of gray scale detection images are obtained,and the detection results of image processing are compared with those of the detection personnel,and a conclusion is drawn.The detection efficiency and accuracy of medical ultrasonic gray-scale images are improved by image processing.