公制(单位)
计算机科学
噪音(视频)
相(物质)
相位噪声
算法
物理
人工智能
光学
工程类
运营管理
量子力学
图像(数学)
作者
Chuanjiang Cui,Kyu‐Jin Jung,Thierry Meerbothe,Cornelis A. T. van den Berg,Stefano Mandija,Dong‐Hyun Kim
摘要
Motivation: To devise a metric to assess the extent of noise amplification in MR-EPT reconstruction algorithms. Goal(s): We explore the correlation between the proposed metric and noise amplification for phase-based conductivity reconstructions. Approach: This study conducted experiments using a concentric cylindrical simulated phantom with uniform electrical properties. Additionally, the proposed metric was applied to in-vivo data. Results: This metric serves as an indicator of the reliability of the reconstructed conductivity maps. the size of the Laplacian kernel and the chosen weighting method significantly impact the metric. Impact: This work reveals that the power of a designed MR-EPT reconstruction kernel acts as a noise error propagation factor in the MR-EPT conductivity reconstruction. Consequently, this map can offer insights into the reliability of reconstructed conductivity map.
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