PPG2RespNet: a deep learning model for respirational signal synthesis and monitoring from photoplethysmography (PPG) signal [0.03%]
基于光电容积描记信号的呼吸信号合成和监测的深度学习模型(ppg2respnet)
Md Nazmul Islam Shuzan,Moajjem Hossain Chowdhury,Saadia Binte Alam et al.
Md Nazmul Islam Shuzan et al.
Breathing conditions affect a wide range of people, including those with respiratory issues like asthma and sleep apnea. Smartwatches with photoplethysmogram (PPG) sensors can monitor breathing. However, current methods have limitations due...
Yashar Naderahmadian
Yashar Naderahmadian
This study introduces a novel watermarking technique for electrocardiogram (ECG) signals. Watermarking embeds critical information within the ECG signal, enabling data origin authentication, ownership verification, and ensuring the integrit...
A deep learning phase-based solution in 2D echocardiography motion estimation [0.03%]
基于深度学习的相位法二维心超运动估计方法
Sahar Khoubani,Mohammad Hassan Moradi
Sahar Khoubani
In this paper, we propose a new deep learning method based on Quaternion Wavelet Transform (QWT) phases of 2D echocardiographic sequences to estimate the motion and strain of myocardium. The proposed method considers intensity and phases ga...
Effect of mirror system and scanner bed of a flatbed scanner on lateral response artefact in radiochromic film dosimetry [0.03%]
台式扫描仪的镜像系统和扫描床对于放射变色片剂量测量横向响应伪迹的影响
Tarafder Shameem,Nick Bennie,Martin Butson et al.
Tarafder Shameem et al.
Radiochromic film, evaluated with flatbed scanners, is used for practical radiotherapy QA dosimetry. Film and scanner component effects contribute to the Lateral Response Artefact (LRA), which is further enhanced by light polarisation from ...
Jun Cao,Iain K Ball,Benjamin Cassidy et al.
Jun Cao et al.
Theory and modelling suggest that detection of neuronal activity may be feasible using phase sensitive MRI methods. Successful detection of neuronal activity both in vitro and in vivo has been described while others have reported negative r...
Measurement of computed tomography modulation transfer function with a novel polymethyl methacrylate phantom [0.03%]
利用新型有机玻璃模体测量CT系统的MTF性能研究
J Svenson,M A Irvine
J Svenson
A novel phantom for measuring the 10% and 50% values of the modulation transfer function (MTF) for computed tomography scanners (CT) was investigated. The phantom was constructed by drilling rows of holes of different sizes and frequencies ...
Visualization of spatial dose distribution for effective radiation protection education in interventional radiology: obtaining high-accuracy spatial doses [0.03%]
介入放射学有效辐射防护教育的剂量空间分布可视化研究：获得高精度的空间剂量分布数据
Yutaro Mori,Tomonori Isobe,Yasuwo Ide et al.
Yutaro Mori et al.
In recent years, eye lens exposure among radiation workers has become a serious concern in medical X-ray fluoroscopy and interventional radiology (IVR), highlighting the need for radiation protection education and training. This study prese...
A model fusion method based DAT-DenseNet for classification and diagnosis of aortic dissection [0.03%]
基于DAT-DenseNet的主动脉夹层分类与诊断模型融合方法
Linlong He,Shuhuan Wang,Ruibo Liu et al.
Linlong He et al.
In this paper, we proposed a complete study method to achieve accurate aortic dissection diagnosis at the patient level. Based on the CT angiography (CTA) images, a classification model named DAT-DenseNet, which combined the deep attention ...
Optimization of sub-arc collimator angles in volumetric modulated arc therapy: a heatmap-based blocking index approach for multiple brain metastases [0.03%]
基于热图的阻塞指数法在弧形调强放射治疗多发性脑转移瘤中的亚弧挡块角度优化研究
Shi-Xiong Huang,Song-Hua Yang,Biao Zeng et al.
Shi-Xiong Huang et al.
To develop and assess an automated Sub-arc Collimator Angle Optimization (SACAO) algorithm and Cumulative Blocking Index Ratio (CBIR) metrics for single-isocenter coplanar volumetric modulated arc therapy (VMAT) to treat multiple brain meta...