Osteoporosis Study Based On Blood Oxygen Level-Depend Magnetic Resonance Imaging

Osteoporosis is a set of systemic skeletal disease that is characterized by bone loss or(and) bone microstructure damage, thus lead to the decrease of the bone strength and osteopsathyrosis increased, easy to fracture. At present, there are about 200 million people around the world have osteoporosis, osteoporosis has become the world’s seventh of various kinds of common diseases. A direct consequence of osteoporosis is fracture. For the elderly, hip fracture is a very serious incident, the consequence is very serious. China is the world’s most populous country, hold about 1/5 of the world’s population. As the population ages, life expectancy extends and population structure changes, the incidence of osteoporosis increases gradually.The causes of osteoporosis is complex, has yet to clarify now. In recent years, clinical, pathology and epidemiology launched the research of the correlation between osteoporosis and human vascular diseases, and found a strong correlation between bone mineral density and vascular disease. BOLD(blood oxygen level dependent) magnetic resonance imaging is a kind of MRI technology that based on organization oxygen saturation changes to make contrast. Different from DCE-MRI, BOLD-MRI utilize the body’s own internal blood oxygen concentration change as a contrast agent, so can more accurately reflect the organization the change of blood perfusion and oxygen metabolism ability.This research utilized the BOLD-MRI as imaging method, through extracting dynamic characteristic curve from images observe muscle tissue blood flow and oxygen metabolism ability, so as to achieve no damage of intervention methods to study blood perfusion and oxygen metabolism of skeletal muscle, to explore the relationship between vascular disease and osteoporosis, and biologically deeper research into the cause of osteoporosis, so as to provide scientific basis for new treatment methods. Using quantitative and half quantitative analysis of two kinds of methods to study the skeletal muscle blood perfusion, and study the relationship between the oxygen metabolism and bone mineral density. In the process of half quantitative analysis, adopts double exponential function with s-shaped function of characteristic curve modeling, to extract more stable and accurate physiological parameters. In the process of quantitative analysis, the modeling method based on the reference area, is suitable for the blood oxygen metabolism of BOLD signal dynamic model.This study found that the different muscles has significant difference in the blood perfusion and oxygen metabolism ability, as different bone mineral density groups has significant difference in perfusion ability on individual muscle. The results show that there is a link between the bone mineral density and surrounding tissues’ blood circulation and metabolism of oxygen, The changed blood circulation may be one of the reasons induced osteoporosis. Hoping research we have done, can help for osteoporosis prevention and early diagnosis.