用于人体通气电阻抗断层成像D-bar重建的动态优化先验
DYNAMIC OPTIMIZED PRIORS FOR D-BAR RECONSTRUCTIONS OF HUMAN VENTILATION USING ELECTRICAL IMPEDANCE TOMOGRAPHY.
作者信息
Alsaker Melody, Mueller Jennifer L, Murthy Rashmi
机构信息
Department of Mathematics; Gonzaga University, Spokane, WA 99258 USA,
Department of Mathematics and School of Biomedical Engineering, Colorado State University, CO 80523 USA,
出版信息
J Comput Appl Math. 2019 Dec 15;362:276-294. doi: 10.1016/j.cam.2018.07.039. Epub 2018 Aug 13.
Abstract
A method of including dynamic spatial priors in the 2-D D-bar reconstruction algorithm is presented for use on time-difference reconstructions of human subject thoracic data. The conductivity values for the prior are updated at each frame in the reconstruction using an optimization method applied to the scattering transform. The updates of the dynamic spatial priors are guided by a principle component analysis of the data to determine the timepoint in the ventilatory (or cardiac) cycle. The effectiveness of the method is demonstrated on human subject ventilatory data.
摘要
提出了一种在二维D-bar重建算法中纳入动态空间先验的方法，用于人体胸部数据的时差重建。使用应用于散射变换的优化方法，在重建的每一帧更新先验的电导率值。通过对数据进行主成分分析来确定通气（或心脏）周期中的时间点，从而指导动态空间先验的更新。该方法在人体通气数据上的有效性得到了验证。
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