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采用经验性双能量校准的小动物放射研究平台的双能 CT

Dual energy CT for a small animal radiation research platform using an empirical dual energy calibration.

机构信息

Department of Radiation Oncology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany.

Physics Department, Technical University of Munich (TUM), Garching, Germany.

出版信息

Phys Med Biol. 2022 Jun 29;67(13). doi: 10.1088/1361-6560/ac7770.

Abstract

Dual energy computed tomography (DECT) has been shown to provide additional image information compared to conventional CT and has been used in clinical routine for several years. The objective of this work is to present a DECT implementation for a Small Animal Radiation Research Platform (SARRP) and to verify it with a quantitative analysis of a material phantom and a qualitative analysis with anmouse measurement.For dual energy imaging, two different spectra are required, but commercial small animal irradiators are usually not optimized for DECT. We present a method that enables dual energy imaging on a SARRP with sequential scanning and an Empirical Dual Energy Calibration (EDEC). EDEC does not require the exact knowledge of spectra and attenuation coefficients; instead, it is based on a calibration. Due to the SARRP geometry and reconstruction algorithm, the calibration is done using an artificial CT image based on measured values. The calibration yields coefficients to convert the measured images into material decomposed images.To analyze the method quantitatively, the electron density and the effective atomic number of a material phantom were calculated and compared with theoretical values. The electron density showed a maximum deviation from the theoretical values of less than 5% and the atomic number of slightly more than 6%. For use in mice, DECT is particularly useful in distinguishing iodine contrast agent from bone. A material decomposition of anmouse with iodine contrast agent was material decomposed to show that bone and iodine can be distinguished and iodine-corrected images can be calculated.DECT is capable of calculating electron density images and effective atomic number images, which are appropriate parameters for quantitative analysis. Furthermore, virtual monochromatic images can be obtained for a better differentiation of materials, especially bone and iodine contrast agent.

摘要

双能 CT(DECT)与常规 CT 相比可提供更多的图像信息,且已在临床常规中应用多年。本研究旨在介绍一种小型动物辐射研究平台(SARRP)的 DECT 实现方法,并通过材料体模的定量分析和对老鼠的测量进行定性分析来验证其性能。

对于双能成像,需要两种不同的光谱,但商业小型动物辐照器通常未针对 DECT 进行优化。我们提出了一种使用顺序扫描和经验双能校准(EDEC)在 SARRP 上进行双能成像的方法。EDEC 不需要对光谱和衰减系数的精确了解,而是基于校准。由于 SARRP 的几何形状和重建算法,校准是使用基于测量值的人工 CT 图像完成的。校准会生成转换测量图像为物质分解图像的系数。

为了对该方法进行定量分析,计算了材料体模的电子密度和有效原子序数,并与理论值进行了比较。电子密度的最大偏差小于理论值的 5%,原子序数略大于 6%。对于在老鼠中的应用,DECT 在区分碘造影剂和骨骼方面特别有用。对带有碘造影剂的老鼠进行物质分解,以显示可以区分骨骼和碘,并且可以计算碘校正图像。

DECT 能够计算电子密度图像和有效原子序数图像,这是定量分析的合适参数。此外,还可以获得虚拟单色图像,以便更好地区分材料,特别是骨骼和碘造影剂。

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