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首页> 外文期刊>IEEE Transactions on Medical Imaging >Task-Based Modeling of a 5k Ultra-High-Resolution Medical Imaging System for Digital Breast Tomosynthesis
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Task-Based Modeling of a 5k Ultra-High-Resolution Medical Imaging System for Digital Breast Tomosynthesis

机译：数字乳腺断层合成的5k超高分辨率医学成像系统基于任务的建模

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摘要

High-resolution, low-noise X-ray detectors based on CMOS active pixel sensor (APS) technology have demonstrated superior imaging performance for digital breast tomosynthesis (DBT). This paper presents a task-based model for a high-resolution medical imaging system to evaluate its ability to detect simulated microcalcifications and masses as lesions for breast cancer. A 3-D cascaded system analysis for a 50-μm pixel pitch CMOS APS X-ray detector was integrated with an object task function, a medical imaging display model, and the human eye contrast sensitivity function to calculate the detectability index and area under the ROC curve (AUC). It was demonstrated that the display pixel pitch and zoom factor should be optimized to improve the AUC for detecting small microcalcifications. In addition, detector electronic noise of smaller than 300 e and a high display maximum luminance (>1000 cd/cm) are desirable to distinguish microcalcifications of 150 μm in size. For low contrast mass detection, a medical imaging display with a minimum of 12-bit gray levels is recommended to realize accurate luminance levels. A wide projection angle range of greater than ±30° in combination with the image gray level magnification could improve the mass detectability especially when the anatomical background noise is high. On the other hand, a narrower projection angle range below ±20° can improve the small, high contrast object detection. Due to the low mass contrast and luminance, the ambient luminance should be controlled below 5 cd/m. Task-based modeling provides important firsthand imaging performance of the high-resolution CMOS-based medical imaging system that is still at early stage development for DBT. The modeling results could guide the prototype design and clinical studies in the future.
机译：基于CMOS有源像素传感器（APS）技术的高分辨率，低噪声X射线探测器已经证明了用于数字乳房断层合成（DBT）的卓越成像性能。本文提出了一个基于任务的高分辨率医学成像系统模型，以评估其检测模拟微钙化和肿块作为乳腺癌病变的能力。将50μm像素间距CMOS APS X射线检测器的3-D级联系统分析与目标任务功能，医学成像显示模型和人眼对比敏感度功能集成在一起，以计算可检测性指标和在该条件下的面积ROC曲线（AUC）。结果表明，应优化显示像素的间距和缩放系数，以改善用于检测小微钙化的AUC。此外，希望能分辨出小于300 e的探测器电子噪声和高显示最大亮度（> 1000 cd / cm），以区分大小为150μm的微钙化。对于低对比度质量检测，建议使用至少12位灰度级的医学成像显示器以实现准确的亮度级。大于±30°的宽投射角范围结合图像灰度放大倍数可以改善质量检测能力，尤其是在解剖背景噪声较高的情况下。另一方面，在±20°以下的较窄投影角度范围可以改善小型，高对比度目标的检测。由于较低的质量对比度和亮度，应将环境亮度控制在5 cd / m以下。基于任务的建模为基于CMOS的高分辨率医学成像系统提供了重要的第一手成像性能，而DBT仍处于早期开发阶段。建模结果可为将来的原型设计和临床研究提供指导。

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