A Study on Osteoporosis Measurement Using Reflection Ultrasound Based on AR2 Autoregression Stochastic Model

• Main Authors: Chin-Sue Chang, 張清樹
• Other Authors: Rong-Chin Lo
• Format: Others
• Language: en_US
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/18803770767912524428

碩士 === 國立臺北科技大學 === 電腦通訊與控制研究所 === 91 === ABSTRACT Osteoporosis is a disease where bone density and structural quality deteriorate, leading to weakness and bone fragility of the skeleton and increase risk of fracture. Bone loss is often gradual and without warning signs, until the disease is advanced. Thus, how to prevent and to cure the osteoporosis in advance is very important. At present the clinical assessment of osteoporosis relies mainly on X-ray techniques. All these techniques use ionizing radiation and are relatively expensive and bulky. Quantitative ultrasound (QUS) methods for bone assessment are less expensive, faster, simpler and more portable than their X-ray components. Several biochemical markers are currently being investigated as a means of assessing bone turnover. The study was designed to evaluate the relationships between ultrasound analysis and biochemical markers and bone mass density. Quantitative ultrasound (QUS) techniques measured of bone velocity and slope of attenuation using a conventional substitution technique. In our study, we have developed a reflection technique for prediction of osteoporosis, based on AR2 Autoregression stochastic model. Ultrasonic measurements were performed by immersion with a transmitted/received broadband transducer with a center frequency 3.5MHz. From experimental results, our proposed Autoregressive (AR) model correlated with BMD values is better than Biochemical markers method. This study shows the feasibility of our proposed.