Track: Healthcare Operations and Services

Abstract

To aid medical professionals in their timely and accurate diagnoses of patients, powerful and accurate diagnostic tools are required. Image processing software tools improve the quality and accuracy of x-ray images used in medical diagnoses. The scope of this project encompasses the design and use of X-hance, an interface created to enhance image quality issues of various medical images which are taken from the MedPix R- CME Cases Database. These images have some problems, such as blurriness, undefined or unclear edges, unfair distribution of contrast between bone and tissue structure, darkness, and bad tonal rendering. Our main purpose is to process these problematic images using different functionalities of X-hance. These functionalities are one push button to upload the unprocessed image, another push button to preprocess the image, and three sliders that can be used for adjusting signal equalization, tonal rendering, and display compensation. The advantage of using sliders in an interface is enabling the user to correct images by manually controlling the parameters of the algorithm when moving the sliders left or right and stopping at the desired position to obtain an improved quality of the x-ray image.