Bone mineral density value evaluation based on photoacoustic spectral analysis combined with deep learning method |
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Authors: | Xue Zhou Zhibin Jin Ting Feng Qian Cheng Xueding Wang Yao Ding Hongchen Zhan Jie Yuan |
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Institution: | (Jinling College,Nanjing University,Nanjing 210089,China;School of Electronic Science and Engineering,Nanjing University,Nanjing 210008,China;Nanjing Drum Tower Hospital,Nanjing 210093,China;Institution of Acoustics,Tongji University,Shanghai 200092,China) |
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Abstract: | The diagnosis of osteoporosis is eventually converted to the measurement of bone mineral density(BMD) in clinical trials.Since our previous work had proved the ability of using photoacoustic spectral analysis(PASA)to efficiently detect osteoporosis,in this contribution,we proposed a fully connected multi-layer deep neural network combined with PASA to semi-quantify BMD values corresponding to varying degrees of bone loss and to further evaluate the degree of osteoporosis.Experiments were carried out on swine femur heads,and the performance of our proposed method is satisfying for future clinical screening. |
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