Mr. Jeff E. Eben Profile

Jeff E. Eben

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Proceedings Article | 9 March 2018 Paper

Development of a next generation tomosynthesis system

Jeffrey Eben, Trevor Vent, Chloe Choi, Sushmitha Yarrabothula, Lucy Chai, Margaret Nolan, Elizabeth Kobe, Raymond Acciavatti, Andrew D. Maidment

Proceedings Volume 10573, 105735Q (2018) https://doi.org/10.1117/12.2294931

KEYWORDS: X-rays, X-ray detectors, Sensors, Breast, Digital breast tomosynthesis, X-ray imaging, Signal detection, Microcontrollers, Image segmentation, Switches

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A next generation tomosynthesis (NGT) system has been proposed to obtain higher spatial resolution than traditional digital breast tomosynthesis (DBT) by achieving consistent sub-pixel resolution. Resolution and linear acquisition artifacts can be further improved by creating multi-axis, x-ray tube acquisition paths. This requires synchronization of the x-ray generator, x-ray detector, and motion controller for an x-ray tube motion path composed of arbitrarily spaced x-ray projection points. We have implemented a state machine run on an Arduino microcontroller that synchronizes the system processes through hardware interrupts. The desired x-ray projection points are converted into two-dimensional motion segments that are compiled to the motion controller’s memory. The state machine then signals the x-ray tube to move from one acquisition point to another, exposing x-rays at each point, until every acquisition is made. The effectiveness of this design was tested based on speed of procedure and image quality metrics. The results show that the average procedure time, over 15 test runs for three different paths, took under 20 seconds, which is far superior to previous acquisition methods on the NGT system. In conclusion, this study shows that a state machine implementation is viable for fast and accurate acquisitioning in NGT systems.

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