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METHOD AND APPARATUS FOR PARTIAL VOLUME IDENTIFICATION FROM PHOTON-COUNTING MACRO-PIXEL MEASUREMENTS

机译:从光子计数宏像素测量中部分体积识别的方法和装置

摘要

A method and apparatuses are provided to identify and correct partial volume errors (PVEs) in material decomposition of a spectral computed tomography (CT) scan, due to different X-ray trajectories incident on a same macro-pixel passing through different material components (e.g., bone and water). Macro-pixels are virtual crystals generated by aggregating the signals/counts from several smaller actual pixels (i.e., micro-pixels) of a detector array. Thus, when a PVE is identified within a macro-pixel, the separate signals/counts from the micro-pixels can be used for material decomposition, instead of the aggregated signals/counts of the macro-pixel, thereby providing improved spatial resolution of the material components and, at least partial, overcoming the PVE. A measure of the difference between spectrally-resolved counts based a material projection lengths (e.g., from a calibrated lookup table) and the measured counts of the macro-pixel can be used to identify PVEs, e.g., when the difference measure exceeds a predefined threshold.
机译:提供了一种方法和装置,用于识别和校正由于通过不同材料成分(例如,入射到同一宏像素上的不同X射线轨迹)而在光谱计算机断层扫描(CT)扫描的材料分解中的部分体积误差(PVE)。 ,骨头和水)。宏观像素是通过聚集来自探测器阵列的几个较小的实际像素(即,微型像素)的信号/计数而生成的虚拟晶体。因此,当在宏像素中识别出PVE时,可以将来自微像素的单独信号/计数用于材料分解,而不是将宏像素的聚合信号/计数用于材料分解,从而提高像素的空间分辨率。重要的组成部分,至少部分克服了PVE。基于材料投影长度(例如,来自校准查找表)的光谱分辨计数之间的差异与宏像素的测量计数之间的差异可以用于识别PVE,例如,当差异度量超出预定阈值时。

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