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Digital Breast Tomosynthesis Geometry Calibration

机译:数字乳房Tomosynthesis几何校准

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Digital Breast Tomosynthesis (DBT) is a 3D x-ray technique for imaging the breast. The x-ray tube, mounted on a gantry, moves in an arc over a limited angular range around the breast while 7-15 images are acquired over a period of a few seconds. A reconstruction algorithm is used to create a 3D volume dataset from the projection images. This procedure reduces the effects of tissue superposition, often responsible for degrading the quality of projection mammograms. This may help improve sensitivity of cancer detection, while reducing the number of false positive results. For DBT, images are acquired at a set of gantry rotation angles. The image reconstruction process requires several geometrical factors associated with image acquisition to be known accurately, however, vibration, encoder inaccuracy, the effects of gravity on the gantry arm and manufacturing tolerances can produce deviations from the desired acquisition geometry. Unlike cone-beam CT, in which a complete dataset is acquired (500+ projections over 180°), tomosynthesis reconstruction is challenging in that the angular range is narrow (typically from 20°-45°) and there are fewer projection images (≈7-15). With such a limited dataset, reconstruction is very sensitive to geometric alignment. Uncertainties in factors such as detector tilt, gantry angle, focal spot location, source-detector distance and source-pivot distance can produce several artifacts in the reconstructed volume. To accurately and efficiently calculate the location and angles of orientation of critical components of the system in DBT geometry, a suitable phantom is required. We have designed a calibration phantom for tomosynthesis and developed software for accurate measurement of the geometric parameters of a DBT system. These have been tested both by simulation and experiment. We will present estimates of the precision available with this technique for a prototype DBT system.
机译:数字乳房Tomos合成(DBT)是用于成像乳房的3D X射线技术。安装在机架上的X射线管在乳房周围的有限角度范围内在电弧上移动,而在几秒钟的时间内获得7-15个图像。重建算法用于从投影图像创建3D卷数据集。该过程减少了组织叠加的影响,通常负责降低投影乳房X光检查的质量。这可能有助于提高癌症检测的敏感性,同时减少假阳性结果的数量。对于DBT,在一组龙门旋转角处获取图像。图像重建过程需要准确地知道与图像采集相关的几个几何因子,然而,振动,编码器不准确,重力对龙门臂和制造公差的影响可以产生与所需采集几何形状的偏差。与锥形光束CT不同,其中取得了完整的数据集(超过180°的500+突起),断层合成重建是具有挑战性的,因为角度范围窄(通常为20°-45°),投影图像较少(≈ 7-15)。利用如此有限的数据集,重建对几何对齐非常敏感。诸如检测器倾斜,龙门角角度,焦点位置,源检测器距离和源枢转距离等因素的不确定性可以在重建的体积中产生若干伪像。准确和有效地计算DBT几何形状中系统的关键部件取向的位置和角度,需要合适的幻像。我们为Tomosynest和开发的软件设计了一种校准模型,用于精确测量DBT系统的几何参数。这些都通过模拟和实验进行了测试。我们将在原型DBT系统上呈现该技术可用的精度。

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