Results 1 to 10 of about 174,201 (277)

Ultrasonic Imaging and Sensors [PDF]

Sensors, 2022
Ultrasound imaging is a wide research field, covering areas from wave propagation physics, sensors and front-end electronics to image reconstruction algorithms and software [...]
Jorge Camacho, Linas Svilainis, Tomás Gómez Álvarez-Arenas   +2 more
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Physical Simulation of Ultrasonic Imaging Logging Response [PDF]

Sensors, 2022
Ultrasonic imaging logging can visually identify the location, shape, dip angle and orientation of fractures and holes. The method has not been effectively applied in the field; one of the prime reasons is that the results of physical simulation ...
Junqiang Lu, Jiyong Han, Jinping Wu, Xiaohua Che, Wenxiao Qiao, Jiale Wang, Xu Chen   +6 more
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Risk factor analysis and prediction model for papillary thyroid carcinoma with lymph node metastasis

Frontiers in Endocrinology, 2023
ObjectiveWe aimed to identify the clinical factors associated with lymph node metastasis (LNM) based on ultrasound characteristics and clinical data, and develop a nomogram for personalized clinical decision-making.MethodsA retrospective analysis was ...
Juerong Lu, Jintang Liao, Yunhao Chen, Jie Li, Xinyue Huang, Huajun Zhang, Huajun Zhang, Huajun Zhang, Bo Zhang, Bo Zhang   +9 more
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Contrast-enhanced ultrasound improves the potency of fine-needle aspiration in thyroid nodules with high inadequate risk

BMC Medical Imaging, 2022
Background This study aims to determine the clinical value of contrast enhanced ultrasound (CEUS) for fine-needle aspiration (FNA) of high inadequate risky thyroid nodules.
Tinghui Yin, Bowen Zheng, Yufan Lian, Haifeng Li, Lei Tan, Shicheng Xu, Yong Liu, Tao Wu, Jie Ren   +8 more
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Sequential ultrasound molecular imaging for noninvasive identification and assessment of non-alcoholic steatohepatitis in mouse models

Liver Research, 2023
Background and objective: Noninvasive non-alcoholic steatohepatitis (NASH) assessment is a clinical challenge to the management of non-alcoholic fatty liver disease.
Tingting Sha, Yujia You, Xiaoyan Miao, Huan Deng, Wei Zhang, Huolin Ye, Ping Wang, Rongqin Zheng, Jie Ren, Tinghui Yin   +9 more
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Contrast-enhanced ultrasound of intrahepatic portal vein gas: Case report and review of literature

Radiology Case Reports, 2021
Portal vein gas is a rare imaging finding and a concomitant sign of abdominal disease. Here, we report a 64-year-old man with an emphasis on contrast-enhanced ultrasound for describing the findings for portal vein gas and evaluating liver blood perfusion.
Tingting Sha, Tinghui Yin, Rongqin Zheng
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Photoacoustic tomography of fingerprint and underlying vasculature for improved biometric identification

Scientific Reports, 2021
Capitalizing on the photoacoustic effect, we developed a new fingerprint sensing system that can reveal both fingerprints and underlying vascular structures at a high spatial resolution. Our system is built on a 15 MHz linear transducer array, a research
Wenhan Zheng, Diana Lee, Jun Xia
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Intracolic ultrasound molecular imaging: a novel method for assessing colonic tumor necrosis factor-α expression in inflammatory bowel disease

Molecular Medicine, 2021
Background While anti-tumor necrosis factor alpha (TNF-α) therapy has been proven effective in inflammatory bowel disease (IBD), approximately 40% of patients lose the response.
Xiaoyan Miao, Ren Mao, Yujia You, Huichao Zhou, Chen Qiu, Xuehua Li, Zhihui Chen, Jie Ren, Minhu Chen, Ping Wang, Rongqin Zheng, Tinghui Yin   +11 more
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Ultrasomics prediction for cytokeratin 19 expression in hepatocellular carcinoma: A multicenter study

Frontiers in Oncology, 2022
ObjectiveThe purpose of this study was to investigate the preoperative prediction of Cytokeratin (CK) 19 expression in patients with hepatocellular carcinoma (HCC) by machine learning-based ultrasomics.MethodsWe retrospectively analyzed 214 patients with
Linlin Zhang, Linlin Zhang, Qinghua Qi, Qian Li, Shanshan Ren, Shanshan Ren, Shunhua Liu, Bing Mao, Xin Li, Xin Li, Yuejin Wu, Yuejin Wu, Lanling Yang, Lanling Yang, Luwen Liu, Luwen Liu, Yaqiong Li, Shaobo Duan, Shaobo Duan, Lianzhong Zhang, Lianzhong Zhang   +20 more
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Intelligent Prediction of Cryptogenic Stroke Using Patent Foramen Ovale from TEE Imaging Data and Machine Learning Methods

International Journal of Computational Intelligence Systems, 2022
In spite of the popularity of random forests (RF) as an efficient machine learning algorithm, methods for constructing the potential association for between patent foramen ovale (PFO) and cryptogenic stroke (CS) using this technique are still barely. For
Jiao Bai, Jia Yang, Wanwan Song, Yumin Liu, Haibo Xu, Yang Liu   +5 more
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