Suppr超能文献

最大似然 X 射线计算机断层扫描的进展。

Developments with maximum likelihood X-ray computed tomography.

机构信息

Dept. of Biomed. Eng., Rensselaer Polytech. Inst., Troy, NY.

出版信息

IEEE Trans Med Imaging. 1992;11(1):40-52. doi: 10.1109/42.126909.

Abstract

An approach to the maximum-likelihood estimation of attenuation coefficients in transmission tomography is presented as an extension of earlier theoretical work by K. Lange and R. Carson (J. Comput. Assist. Tomography, vol.8, p.306-16, 1984). The reconstruction algorithm is based on the expectation-maximization (EM) algorithm. Several simplifying approximations are introduced which make the maximization step of the algorithm available. Computer simulations are presented using noise-free and Poisson randomized projections. The images obtained with the EM-type method are compared to those reconstructed with the EM method of Lange and Carson and with filtered backprojection. Preliminary results show that there are potential advantages in using the maximum likelihood approaches in situations where a high-contrast object, such as bone, is embedded in low-contrast soft tissue.

摘要

提出了一种用于传输断层摄影中衰减系数最大似然估计的方法,该方法是对 K. Lange 和 R. Carson(J. Comput. Assist. Tomography,vol.8,p.306-16,1984)的早期理论工作的扩展。重建算法基于期望最大化(EM)算法。引入了几个简化的近似值,使算法的最大化步骤可用。使用无噪声和泊松随机投影进行了计算机模拟。使用 EM 型方法获得的图像与 Lange和卡森的 EM 方法以及滤波反投影重建的图像进行了比较。初步结果表明,在高对比度物体(如骨骼)嵌入低对比度软组织的情况下,使用最大似然方法有潜在的优势。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验