RGB-D Camera-Based Clinical Workflow Optimization for Rotational Angiography

İncetan, Kağan; Mohan, Rishi; Stoutjesdijk, Henry; Fernandes, Nelson; Jager, Bram de

doi:10.1109/jsen.2020.2985502

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…The ISO-centering parameter is calculated by the results of patient contour detection and guides the CT table automatically to adjust so that the center of the patient body region overlaps with the scanner ISO center. Kagan Incetan et al [22] has developed a safety system based on an RGB-D camera to automate the patient positioning process of digital rotational angiography (DRA) imaging. The Upstream workflow of conventional X-ray imaging Upstream workflow of automated X-ray imaging Fig.…”

Section: Introductionmentioning

confidence: 99%

Automatic Video Analysis Framework for Exposure Region Recognition in X-Ray Imaging Automation

Sun

et al. 2022

IEEE J. Biomed. Health Inform.

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The deep learning-based automatic recognition of the scanning or exposing region in medical imaging automation is a promising new technique, which can decrease the heavy workload of the radiographers, optimize imaging workflow and improve image quality. However, there is little related research and practice in X-ray imaging. In this paper, we focus on two key problems in X-ray imaging automation: automatic recognition of the exposure moment and the exposure region. Consequently, we propose an automatic video analysis framework based on the hybrid model, approaching real-time performance. The framework consists of three interdependent components: Body Structure Detection, Motion State Tracing, and Body Modeling. Body Structure Detection disassembles the patient to obtain the corresponding body keypoints and body Bboxes. Combining and analyzing the two different types of body structure representations is to obtain rich spatial location information about the patient body structure. Motion State Tracing focuses on the motion state analysis of the exposure region to recognize the appropriate exposure moment. The exposure region is calculated by Body Mod-

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Section: Introductionmentioning

confidence: 99%