Presentation + Paper
4 April 2022 Mathematical foundations of a novel reconstruction algorithm that facilitates real-time 4D tomosynthesis
Priyash Singh, Chloe J. Choi, Trevor L. Vent, Bruno Barufaldi, Raymond J. Acciavatti, Emily F. Conant, Andrew D. A. Maidment
Author Affiliations +
Abstract
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.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Priyash Singh, Chloe J. Choi, Trevor L. Vent, Bruno Barufaldi, Raymond J. Acciavatti, Emily F. Conant, and 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
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KEYWORDS
Reconstruction algorithms

Breast

Biopsy

Tissues

Radiography

Visualization

Sensors

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