Brain Cancer Growth Measurement By Length And Density Estimation Using Centroid Based Octal Axis Model

Abstract

Brain cancer growth measurement methods involve a combination of imaging techniques and computational analysis to accurately assess tumor size, volume, and progression. Traditional methods rely on manual measurements from MRI or CT scans, where radiologists outline the tumor boundaries to calculate changes in size over time. However, these manual approaches can be time-consuming and subject to variability. To enhance precision and efficiency, automated and semi-automated methods have been developed, utilizing advanced algorithms to quantify their growth. Brain cancer measurement is an important task in brain cancer diagnosis. It meets the challenges like less accuracy, unsupport for multi-direction based growth measurement, bounding box based center processing. Hence, this paper proposes a new cancer growth measure method namely ‘Brain Cancer Growth Measurement by length and density estimation using Centroid based Octal Axis Model (BCGH-COAM)’. It works based on centroid based process and the octal directional axes. This method experimentally measures cancer region better than the existing methods.