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Authors: Liu, Jun | Zhan, Weiwei | Zhou, Mingyang | Zhang, Xiaoxiao

Article Type: Research Article

Abstract: BACKGROUND: A virtual navigation system (VNS) can combine two imaging modalities for synchronous observation and can be beneficial for diagnosis and treatment. Ultrasound elastography (UE) can distinguish between soft and hard tissues. However, the application of UE to musculoskeletal structures is rare. OBJECTIVE: To evaluate UE of the supraspinatus tendon using ultrasound-magnetic resonance imaging (US-MRI) virtual navigation. METHODS: Sixty patients with an ache in the shoulder were diagnosed with supraspinatus tendon injuries using MRI. US-MRI virtual navigation was used to identify lesions in the supraspinatus tendon, and finally US elastography (UE) was performed. Volunteers whose supraspinatus tendons were diagnosed as …normal by MRI were also selected for US elastography. The UE scores were then compared between patients and volunteers. RESULTS: A total of 60 patients were diagnosed with supraspinatus tendon injuries using MRI and forty-two patients classified as Grade I exhibited no obvious abnormality by US. The supraspinatus tendon injury scores were significantly higher in Grade I patients compared with volunteers (P< 0.05). CONCLUSION: US elastography is helpful for the diagnosis of the supraspinatus tendon injuries when used with US-MRI virtual navigation. Show more

Keywords: Ultrasound elastography, supraspinatus tendon, virtual navigation

DOI: 10.3233/THC-150961

Citation: Technology and Health Care, vol. 23, no. s2, pp. S263-S268, 2015

Authors: Ren, Long | Chen, Renwen | Xia, Huakang | Zhang, Xiaoxiao | Xu, Dongxia

Article Type: Research Article

Abstract: To scavenge vibration energy from industrial application environments and supply power to wireless sensor networks, this paper proposes an electromagnetic vibration energy harvester (VEH) using an optimized transducer. The VEH consists of a planar spring, an axially magnetized magnet assembly, a coil assembly and an outer casing. An analytical model is proposed to analyze and optimize the electromagnetic transducer and improve its energy harvesting performance. Finite element analysis is then used to verify the model. An optimized prototype is manufactured and fabricated, and finally tested by experiment. The experimental results indicate that an open-circuit voltage of 2.2 V can be …achieved when the VEH is excited by the vibration with a resonant frequency of 22.4 Hz and an acceleration amplitude of 100 mg. When the optimal resistor of 200 Ω is connected to the coil assembly, its maximum load power of 0.29 mW can be achieved, which can meet the needs of many industrial sensors as well as wireless communication modules and guarantee their intermittent work at least. Show more

Keywords: Vibration energy harvester, electromagnetic, optimization, finite element analysis

DOI: 10.3233/JAE-150099

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 51, no. 1, pp. 11-19, 2016

Authors: Bing, Wanchun | Zhang, Xiaoxiao | Wang, Dawei | Gu, Xiaoyan

Article Type: Research Article

Abstract: BACKGROUND: Recurrent acute pancreatitis is a common acute abdominal disease in surgery. OBJECTIVE: To evaluate the radiographic features of pancreatic computed tomography (CT) imaging in the diagnosis of acute and chronic pancreatitis. METHODS: 48 pancreatitis patients who met the criteria were selected in this retrospective study from 2010 to 2019. Each diagnosis was evaluated as functional abdominal pain, recurrent acute pancreatitis, or chronic pancreatitis. All clinical data were collected from the patient’s medical records. 54 radiological features were extracted from each region of interest in outline the pancreas and divided into five categories: first order statistics, the gray level co-occurrence …matrix (GLCM), the gray level run-length matrix (GLRLM), the neighborhood gray level difference matrix (NGTDM), and morphological features by the MATLAB program. RESULTS: Of the 48 patients, 16 had functional abdominal pain (33.3%), 18 had recurrent acute pancreatitis (37.5%), and 14 had chronic pancreatitis (29.2%). In the univariate analysis, nine radiological features, eight GLCM features and one NGTDM feature were significantly different between groups. Nine radiological characteristics had important reference values with AUC values ranging from 0.73–0.91. CONCLUSION: Nine radiographic features of CT imaging demonstrate good evaluation efficiency in the diagnosis of pancreatitis and can distinguish patients with functional abdominal pain, recurrent acute pancreatitis, and chronic pancreatitis. Show more

Keywords: Computed tomography, radiomics, recurrent acute pancreatitis, chronic pancreatitis

DOI: 10.3233/THC-220732

Citation: Technology and Health Care, vol. 32, no. 2, pp. 605-613, 2024