首页|全范围头面部DR辅助摆位系统设计与实现

全范围头面部DR辅助摆位系统设计与实现

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为了辅助放射技师减少摆位错误,提出了一套完整的全范围头面部DR(digital radiography)智能辅助摆位系统.该系统以嵌入式计算平台为基础,利用RGB-D相机捕获的图像准确估计患者头部姿态,并针对不同的拍摄体位需求提供精确的摆位指导.采用六维向量描述头部姿态,并开发了一个深度神经网络Effi6DNet,其能够实时从RGB图像中估计全范围的头部姿态;同时,通过三维可塑模型(3DMM)和3D头部重建技术优化头部姿态估计,达到更高的准确度.该系统结合这2种技术,并融入具体摆位要求,实现了在嵌入式平台上实时和高精度的辅助摆位功能.在多个数据集上的验证结果表明,该系统能够实时和准确识别头部姿态,提供合理的摆位指导.该系统为提高头面部DR的效率和准确性提供了一种新的智能化解决方案.
Design and implementation of a full-range positioning assistance system for cranium and facial bones DR
To assist radiographers in minimizing positioning errors,a comprehensive intelligent positioning as-sistance system for full-range cranium and facial bones digital radiography(DR)is introduced.Based on an embedded computing platform equipped with an RGB-depth(RGB-D)camera,this system accurately esti-mates a patient's head pose,providing precise positioning recommendations for various imaging requirements.Employing a 6D vector to represent head pose,a deep neural network,Effi6DNet,is constructed to achieve real-time estimation of full-range head pose from RGB images.Furthermore,head pose optimization with en-hanced accuracy is achieved through the application of 3D morphable model(3DMM)and 3D head recon-struction techniques.The integration of these two techniques,along with specific positioning requirements,fa-cilitates real-time,high-precision positioning assistance on an embedded computing platform.Validation on multiple datasets demonstrates that the system can promptly and accurately identify head poses and offer appro-priate positioning suggestions,thereby presenting an innovative intelligent solution to improve the efficiency and accuracy of the cranium and facial bones DR.

cranium and facial bones digital radiography(DR)positioning assistancehead pose estimationRGB-depth(RGB-D)images

赵杰、吕天翎、刘建强、陈阳

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东南大学计算机科学与工程学院,南京 210096

江苏康众数字医疗科技股份有限公司,苏州 215123

头面部DR 辅助摆位 头部姿态估计 RGB-D图像

国家重点研发计划资助项目国家重点研发计划资助项目国家杰出青年科学基金资助项目江苏省重点研发计划资助项目江苏省重点研发计划资助项目

2022YFC24085002022YFC2401600T2225025BE2021703BE2022768

2024

东南大学学报(自然科学版)
东南大学

东南大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.989
ISSN:1001-0505
年,卷(期):2024.54(3)