Dr. Eric Tkaczyk Profile

Dr. Eric Tkaczyk

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Proceedings Article | 7 April 2023 Poster + Paper

Anatomy registration via patient sensing for chest x-ray digital tomosynthesis

Yang Zhao, Alex Chen, Eric Tkaczyk, Jie Liu

Proceedings Volume 12463, 1246335 (2023) https://doi.org/10.1117/12.2654160

KEYWORDS: Anatomy, Reconstruction algorithms, Lung, Chest, Cameras, Image registration, Chest imaging, RGB color model, X-rays, X-ray detectors

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Chest X-ray is one of the most commonly performed radiologic procedures for respiratory diseases. Digital tomosynthesis (DTS) provides volumetric anatomic information at lower cost and dose compared to computed tomography (CT). However, current DTS system provides insufficient patient positioning feedback and requires a large number of reconstructed slices in order to ensure imaging the entirety of targeted anatomy. We propose an anatomy registration prototype using measurements from RGB-D cameras to 1) assist acquisition workflow, 2) provide individual-specific anatomical information to improve tomosynthesis reconstruction. Our experiments show that anatomy registration can provide real-time feedback of patient 2D position and body thickness. Our reconstruction simulations show that the anatomy and body information can speed up DTS reconstruction, reduce the number of redundant tomosynthesis slices, and help reduce image interpretation time.

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