ENGINEERING OF SEMI-AUTOMATIC SEGMENTATION IN IMAGING FOR OSTEOPOROSIS

Abstract: Osteoporosis is an illness that has an impact on bones, which exhibits a decrease in bone mass and a deterioration of the trabecular structures. Typically, the method used to detect it is bone densitometry, which measures the density of bones, which act in our body as a reservoir of calcium. However, it has been proven that it is possible to assist in the diagnosis of osteoporosis using radiological images by identifying and analyzing specific interest areas. The knowledge that medical professionals have allows the location of these areas within the images. However, it is very beneficial to have efficient and effective computer tools for detecting them, since the time that this process takes them can be excessive for large volumes of data. This work proposes a tool that allows, among other things, to detect in a semi-automatic way the regions of interest in the head of the femur bone and then apply assistance methods to the diagnosis of osteoporosis.

Keywords: Osteoporosis, bones, radiology, segmentation.