Development of a next generation tomosynthesis system

Jeffrey E. Eben; Trevor L. Vent; Chloe J. Choi; Sushmitha Yarrabothula; Lucy Chai; Margaret Nolan; Elizabeth Kobe; Raymond J. Acciavatti; Andrew D. A. Maidment

doi:10.1117/12.2294931

9 March 2018 Development of a next generation tomosynthesis system

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

Author Affiliations +

Proceedings Volume 10573, Medical Imaging 2018: Physics of Medical Imaging; 105735Q (2018) https://doi.org/10.1117/12.2294931
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

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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Jeffrey E. Eben, Trevor L. Vent, Chloe J. Choi, Sushmitha Yarrabothula, Lucy Chai, Margaret Nolan, Elizabeth Kobe, Raymond J. Acciavatti, and Andrew D. A. Maidment "Development of a next generation tomosynthesis system", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105735Q (9 March 2018); https://doi.org/10.1117/12.2294931

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