Application of Ray Casting Algorithm in Medical Image Enhancement and Edge Detection

The Ray Casting algorithm plays an important role in improving medical images and edge detection. Medical imaging typically includes a large amount of image data, such as computed tomography, magnetic resonance imaging, etc. These data need to be effectively and accurately processed and analyzed in order for doctors to make correct diagnoses. The Ray Casting algorithm is a method that allows for effective and accurate processing of medical images. This article mainly used experimental methods and algorithm comparison to analyze the running time and accuracy of medical images using different algorithms. The experimental results showed that the image detection accuracy using the improved Ray Casting algorithm exceeds 95%, which can achieve the enhancement and edge detection of precise medical images, and the effect is better than traditional image processing algorithms. Ray Casting Algorithms can quickly and accurately render medical images, allowing doctors and researchers to better understand and analyze image information. Through the Ray algorithm, the voxel-level enhancement and operation of the medical image are realized to improve the contrast and clarity of the image. To detect and extract edge information in medical images to help assist diagnosis and disease analysis.