Normalisation Factor Estimation in non-TOF 3D PET from Multiple-Energy Window Data

L. Brusaferri, Elise Emond, A. Bousse, R. Twyman, D. Atkinson, B. Hutton, S. Arridge, K. Thielemans
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Abstract

Several groups have considered the option of using multiple-energy window emission data to improve reconstruction accuracy for PET/MR imaging. However, the feasibility of this approach has only been studied with analytic simulations. To be able to handle realistic measurements a remaining challenge is related to the detection efficiencies (“normalisation”) for the different energy windows, which likely differ for scattered and unscattered events given the heterogeneity of photon energies, angles of incidence, and points of origination. In addition, the lower energy windows will potentially contain events that have been affected by scatter in the detector. This manuscript investigates the problem of estimating the normalisation factors for PET data acquired from multiple energy windows.
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基于多能窗数据的非tof三维PET归一化因子估计
几个小组已经考虑使用多能窗发射数据来提高PET/MR成像的重建精度。然而,这种方法的可行性仅通过分析模拟进行了研究。为了能够处理实际测量,剩下的挑战与不同能量窗口的检测效率(“归一化”)有关,鉴于光子能量、入射角和起源点的异质性,散射和非散射事件的检测效率可能会有所不同。此外,较低能量的窗口将潜在地包含被探测器散射影响的事件。本文研究了从多个能量窗口获取的PET数据的归一化因子估计问题。
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