@inproceedings{187062d705de4e5d9a296998331320df,
title = "Anatomy registration via patient sensing for chest x-ray digital tomosynthesis",
abstract = "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.",
keywords = "Anatomy registration, X-ray tomosynthesis, patient sensing",
author = "Yang Zhao and Alex Chen and Eric Tkaczyk and Jie Liu",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2023: Physics of Medical Imaging ; Conference date: 19-02-2023 Through 23-02-2023",
year = "2023",
doi = "10.1117/12.2654160",
language = "英语",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Lifeng Yu and Rebecca Fahrig and Sabol, \{John M.\}",
booktitle = "Medical Imaging 2023",
address = "美国",
}