Image Processing Algorithms and Measures for the Analysis of Biomedical Imaging Systems Applications

摘要

The medical profession has changed dramatically in the past decade due to the advances in engineering innovations. Traditionally, medical doctors relied solely on their training and experience for diagnosis and interpretation of medical conditions captured through a variety of imaging techniques. Typically, these images are produced from CAT scan machines, MRI, or X-rays. Today, computer aided techniques are designed to enhance the visual quality of biomedical images to better help humans discriminate regions of interest, such as the presence of cancer. Since these enhanced images are intended to assist the medical professional in making a diagnosis or to track the progress of a treatment, it is important that abnormalities presented in the images are actual objects and not artifacts resulting from the enhancement process that could lead to an inaccurate diagnosis. Too much information presented can be distracting for the viewer and too little information presented could be disastrous for the patient, should a life-threatening abnormality be missed or filtered out. Therefore, the dilemma lies in answering the question: "What is the best image to use?"