Thermal Wave Imaging for Detection of Osteoporosis

Osteoporosis is a clinical sickness wherein the bones end up brittle and volatile because of tissue loss, which is usually caused by hormonal changes or a calcium or vitamin D deficiency. Osteoporosis has neither clinical signs nor symptoms, until some fracture occur. The aim of our project is to predict bone brittleness in order to detect osteoporosis using Image processing techniques. The objective measurement of bone mineral density (BMD), is presently accepted as the best indicator of osteoporosis fractures. For measuring and assessing biomaterials, thermal wave imaging is a potential , non-invasive, non-contact and safe imaging method.. Thermal wave imaging has the unique ability to measure physiological changes. The thermal images of bone are taken and removal of noise is carried out and undergone stationary wavelets transform process to improve the resolution of edges. The result shows that Artificial Neural Network is capable of predicting the brittleness of the bone using Regression in Machine Learning .