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A Blooming correction technique for improved vasa vasorum detection using an ultra-high-resolution photon-counting detector CT

机译:一种使用超高分辨率光子计数检测器CT改进血管造影血管检测的Blooming校正技术

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Proliferation of vasa vasorum, the microvasculature within artery walls, is an early marker of atherosclerosis. Detection of subtle changes in the spatial density of vasa vasorum using contrast-enhanced CT is challenging due to the limited spatial resolution and blooming effects. We report a forward model-based blooming correction technique to improve vasa vasorum detection in a porcine model imaged using an ultra-high resolution photon-counting detector CT. Six weeks preceding the CT study the animal received autologous blood injections in its left carotid artery to stimulate vasa vasorum proliferation within the arterial wall (right carotid served as control). The forward model predicted radial extent and magnitude of the luminal blooming affecting the wall signal by using prior data acquired with a vessel phantom of known dimensions. The predicted contamination from blooming was then subtracted from the original wall signal measurement to recover the obscured vasa vasorum signal. Attenuation measurements made on a testing vessel phantom before and after blooming corrections revealed a reduction in mean squared error by ~99.9% when compared to the ground truth. Applying corrections to contrast-enhanced carotid arteries from in vivo scan data demonstrated consistent reductions of blooming contamination within the vessel walls. An unpaired student t-test applied to measurements from the uncorrected porcine scan data revealed no significant difference between the vessel walls (p=0.26). However, after employing blooming correction, the mean enhancement was significantly greater in the injured vessel wall (p=0.0006).
机译:脉管壁内微脉管vasa vasorum的增殖是动脉粥样硬化的早期标志。由于有限的空间分辨率和起霜作用,使用造影剂增强型CT检测脉管血管空间密度的细微变化具有挑战性。我们报告基于正向模型的布鲁姆校正技术,以改善使用超高分辨率光子计数检测器CT成像的猪模型中的血管迷走神经检测。 CT研究前六周,该动物在其左颈动脉接受了自体血液注射,以刺激动脉壁内血管血管的增生(右颈作为对照)。前向模型通过使用使用已知尺寸的血管模型获得的先验数据来预测影响壁信号的腔壁开花的径向范围和大小。然后,从原始壁信号测量值中减去因起霜而产生的预测污染,以恢复模糊的脉管血管信号。在起霜校正前后,在测试容器模型上进行的衰减测量表明,与地面真实情况相比,均方误差降低了约99.9%。根据体内扫描数据对颈动脉造影剂进行校正,结果显示血管壁内的起霜污染持续减少。对未经校正的猪扫描数据进行测量的未配对学生t检验显示,血管壁之间无显着差异(p = 0.26)。但是,在采用水华校正后,受伤血管壁的平均增强明显更大(p = 0.0006)。

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