论文标题
将不确定性归因于Spect Imaging中热点的不确定性
Attributing Uncertainties in the Identification of Hotspots in SPECT Imaging
论文作者
论文摘要
在SPECT成像中，病变的识别和检测依赖于重建层析成像图像的目视检查或后处理图像分析方法。两种方法都不提供将可量化的不确定性归因于此识别的能力。我们提出了一个框架，该框架允许对这种不确定性进行量化，并赋予对热点检测的置信度的分配。基于图像重建方法的“来自模拟集合的重建图像”（RISE），提出的方案使用一组投影测量值来得出定义放射性吸收的参数，热点的位置和大小，以及其相关的不确定性。该方法的功能通过来自Gate Phantom模拟的投影数据证明。
In SPECT imaging, the identification and detection of a lesion rely either on visual inspection of the reconstructed tomographic images or post-processing image analysis methods. Both approaches do not provide the capability to attribute a quantifiable uncertainty to this identification. We present a framework which allows the quantification of this uncertainty and the assignment of a level of confidence to the detection of hotspots. Based on the "Reconstructed Image from Simulations Ensemble" (RISE), an image reconstruction method, the presented scheme uses the set of projection measurements to derive the parameters defining the uptake of radioactivity, the position and the size of a hotspot, and as well as their associated uncertainties. The capabilities of the proposed method are demonstrated with projection data from GATE phantom simulations.
