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The mathematical underpinnings of a novel reconstruction algorithm are presented that can facilitate 4D tomosynthesis for the purpose of guiding needle breast biopsies in real-time. Conventional tomosynthesis reconstruction algorithms produce motion artifacts when applied to a continuous tomosynthesis acquisition of a moving biopsy needle. The novel algorithm proposed in this work successfully overcomes this by using differences in slow-scan data to identify variational regions in the reconstructed volume, and adaptively reconstruct those regions to eliminate motion. The algorithm has been tested using simulated images, where reconstructed images of a moving needle had significantly better clarity than the conventional algorithm.
Priyash Singh,Chloe J. Choi,Trevor L. Vent,Bruno Barufaldi,Raymond J. Acciavatti,Emily F. Conant, andAndrew D. A. Maidment
"Mathematical foundations of a novel reconstruction algorithm that facilitates real-time 4D tomosynthesis", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 1203104 (4 April 2022); https://doi.org/10.1117/12.2608299
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Priyash Singh, Chloe J. Choi, Trevor L. Vent, Bruno Barufaldi, Raymond J. Acciavatti, Emily F. Conant, Andrew D. A. Maidment, "Mathematical foundations of a novel reconstruction algorithm that facilitates real-time 4D tomosynthesis," Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 1203104 (4 April 2022); https://doi.org/10.1117/12.2608299