Thomas Larsen, Hsin Wu Tseng, Rachawadee Trinate, Zhiyang Fu, Jing-Tzyh Alan Chiang, Andrew Karellas, Srinivasan Vedantham
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Independent system parameters considered were the scintillator thickness, applied X-ray tube voltage, and X-ray beam filtration. The combination of these parameters that maximized the detectability index was considered optimal.</p><p><strong>Results: </strong>Prewhitening, nonprewhitening, and nonprewhitening with eye filter numerical observers indicate that the combination of 0.525 to 0.6 mm thick scintillator, 70 kV, and 0.25 to 0.4 mm added copper filtration maximized the detectability index at a mean glandular dose (MGD) of 4.5 mGy.</p><p><strong>Conclusion: </strong>Using parallel cascade systems' analysis, the combination of parameters that could maximize the detection of microcalcifications was identified. 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引用次数: 0
摘要
目的:我们的目标是确定 X 射线光谱和探测器闪烁体厚度的组合,使专用锥形束乳腺 CT 中微钙化簇的可探测性最大化:方法: 在空间频率域实施级联线性系统分析,并使用数字观测器确定可探测性指数,以完成探测直径为 0.17 毫米的碳酸钙球微钙化簇的成像任务。分析考虑了掺铊碘化铯闪烁体与互补金属氧化物半导体探测器的耦合,以及分析滤波后投影重建算法。考虑的独立系统参数包括闪烁体厚度、X 射线管应用电压和 X 射线束过滤。这些参数的组合能最大限度地提高可探测性指数,因此被认为是最佳组合:结果:预白化、非预白化、非预白化和眼滤光片数字观测器表明,在平均腺体剂量(MGD)为 4.5 mGy 的情况下,0.525 至 0.6 mm 厚的闪烁体、70 kV 和 0.25 至 0.4 mm 的铜滤光片的组合能最大限度地提高可探测性指数:结论:通过平行级联系统分析,确定了能最大限度检测微钙化的参数组合。分析表明,在适合乳腺癌筛查的平均腺体剂量(MGD)下,比目前使用的光束更强的光束可能有利于检测微钙化。
Maximizing microcalcification detectability in low-dose dedicated cone-beam breast CT: parallel cascades-based theoretical analysis.
Purpose: We aim to determine the combination of X-ray spectrum and detector scintillator thickness that maximizes the detectability of microcalcification clusters in dedicated cone-beam breast CT.
Approach: A cascaded linear system analysis was implemented in the spatial frequency domain and was used to determine the detectability index using numerical observers for the imaging task of detecting a microcalcification cluster with 0.17 mm diameter calcium carbonate spheres. The analysis considered a thallium-doped cesium iodide scintillator coupled to a complementary metal-oxide semiconductor detector and an analytical filtered-back-projection reconstruction algorithm. Independent system parameters considered were the scintillator thickness, applied X-ray tube voltage, and X-ray beam filtration. The combination of these parameters that maximized the detectability index was considered optimal.
Results: Prewhitening, nonprewhitening, and nonprewhitening with eye filter numerical observers indicate that the combination of 0.525 to 0.6 mm thick scintillator, 70 kV, and 0.25 to 0.4 mm added copper filtration maximized the detectability index at a mean glandular dose (MGD) of 4.5 mGy.
Conclusion: Using parallel cascade systems' analysis, the combination of parameters that could maximize the detection of microcalcifications was identified. The analysis indicates that a harder beam than that used in current practice may be beneficial for the task of detecting microcalcifications at an MGD suitable for breast cancer screening.
期刊介绍:
JMI covers fundamental and translational research, as well as applications, focused on medical imaging, which continue to yield physical and biomedical advancements in the early detection, diagnostics, and therapy of disease as well as in the understanding of normal. The scope of JMI includes: Imaging physics, Tomographic reconstruction algorithms (such as those in CT and MRI), Image processing and deep learning, Computer-aided diagnosis and quantitative image analysis, Visualization and modeling, Picture archiving and communications systems (PACS), Image perception and observer performance, Technology assessment, Ultrasonic imaging, Image-guided procedures, Digital pathology, Biomedical applications of biomedical imaging. JMI allows for the peer-reviewed communication and archiving of scientific developments, translational and clinical applications, reviews, and recommendations for the field.