外文题目: Phase-contrast imaging for body composition measurement
作者: Han, Huajie; Hu, Renfang; Wali, Faiz; Wu, Zhao; Gao, Kun; Wang, Shenghao; Gu, Yonggang; Jin, Yi; Zhai, Chao
刊名: Phys. Medica
年: 2017 卷: 43 页： 25--33
英文关键词:
X-ray phase-contrast imaging; Body composition measurement
X-RAY RADIOGRAPHY; GRATING INTERFEROMETRY; COMPUTED-TOMOGRAPHY; RETRIEVAL; ABSORPTION
英文摘要:
Purpose: In this paper, we propose a novel method for human body composition measurement, especially for the bone mineral density (BMD) measurement. The proposed method, using the absorption and differential phase information retrieved from X-ray grating-based interferometer (XGBI) to measure the BMD, has potential to replace dual-energy X-ray absorptiometry (DEXA), which is currently widely used for body composition measurement. Methods: The DEXA method employs two absorption images acquired at two different X-ray spectra (high energy and low energy) to calculate the human body composition. In this paper, a new method to calculate BMD using a single X-ray measurement is proposed. XGBI is a relatively new X-ray technique that provides absorption, phase and scattering information simultaneously using a single X-ray spectrum. With the absorption and differential phase information retrieved from XGBI, BMD can be measured using only one single X-ray spectrum. Numerical simulations are performed with a body phantom of bone (Cortical, ICRU-44) surrounded by soft tissue (Soft, ICRU-44). BMD is calculated with both the DEXA method and the proposed method. Results: Results show that BMD can be measured accurately with the proposed method; moreover, better signal-to-noise ratio (SNR) is obtained compared to DEXA. Conclusion: With the proposed method, BMD can be measured with XGBI setup. Further, the proposed method can be realized using current X-ray phase-contrast imaging (XPCI) apparatus without any hardware modification, suggesting that this technique can be a promising supplementary function to current XPCI equipment.


文献类型: 期刊论文
正文语种: English
收录类别: SCI
DOI: 10.1016/j.ejmp.2017.10.006


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