Window Width Value Estimation Technique for CT Brain Images Using Average of Median of Statistical Central Moments

摘要

For stroke detection, computed tomography (CT) scan is always the initial choice for imaging the damages or infraction on the brain. However, CT is commonly poor in infarction diagnosis due possible problems of the proper window settings. There is similar default window setting for every CT brain images but the default setting is unable to fully enhance the contrast of infarction of the brain images. Thus, performance of infarction diagnosis in CT brain images is poorer than other medical image modalities. Therefore, this paper introduces a novel estimation method with fixed value of window center (WC) to estimate the window width value (WW) for selected CT brain images, by calculating average of median of statistical central moments. This method requires only 101 WW values to produce estimated value with sensitivity ofO.OSHU. The focus of the proposed approach is to improve the efficiency brain infarction diagnosis for radiologists.