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

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题名:	A Study on Osteoporosis Measurement Using Reflection Ultrasound Based on AR2 Autoregression Stochastic Model
作者:	Chin-Sue Chang (張清樹);Rong-Chin Lo (駱榮欽);Yu-Jen Chen (陳裕仁);Yu-Zheng Yang (楊育正);Wen-Xiang Xie (謝文祥);Jian-Pei Huang (黃建霈);Chin-Yin Xu(許清寅);Hung-Cheng Chen陳弘政）
贡献者:	Department of Electronic Engineering, National Taipei University of Technology;Department of Radiation Oncology, Mackay Memorial Hospital
关键词:	Osteoporosis;QUS;Biochemical Markers;BMD;AR2
日期:	2003-09-13
上传时间:	2009-12-09 05:24:58 (UTC+0)
出版者:	臺中健康暨管理學院
摘要:	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. 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 [1]. Biochemical markers of bone turnover are currently being investigated as a means of assessing bone. 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 AR2 Autoregression Stochastic Model correlated with BMD values is better than Biochemical markers method. This study shows the feasibility of our proposed.
關聯:	第六屆工程科技與中西醫學應用研討會 81-88
显示于类别:	[行動商務與多媒體應用學系] 會議論文

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