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        A High Step-up DC-DC Converter with Multiplier Voltage Cells

        Song Liye,Tian Guosheng,Peng Jishen,Ding Xinping 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1

        The non-isolated high voltage gain dc-dc converter becomes the focus of research in the sustainable energy converters. This paper proposes a high step-up dc-dc converter with switched-capacitor and 3-winding coupled inductor. It consists of voltage multiplier cell, coupled inductor, and switched-capacitor. Compared with existing high step-up dc-dc converters, the proposed converter incorporates a switched-capacitor at the output side of the converter, which has a lower impulse current and power loss due to the current limiting efect of magnetic element. Therefore, it makes full use of the boosting capability of the switched-capacitor and avoids its drawbacks. The converter achieves high voltage gain by cascaded boost method, which is composed of 3-winding coupled-inductor based boost cells. It reduces voltage stresses on the components in each cell, achieves high voltage gain by utilizing devices with low on-state resistance and low voltage rating that improves the efciency. An inherent passive clamp circuit alleviates voltage spike of switch as well as recycles the leakage energy. The converter provides high voltage gain, high efciency and high power density. The operation modes, steady-state analysis, stresses of the components, comparison with other candidates, and design guideline are analyzed and presented. The validation of the proposed converter is verifed by a 200 W prototype constructed in the laboratory

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        Dark-Blood Computed Tomography Angiography Combined With Deep Learning Reconstruction for Cervical Artery Wall Imaging in Takayasu Arteritis

        Su Tong,Zhang Zhe,Chen Yu,Wang Yun,Li Yumei,Xu Min,Wang Jian,Li Jing,Tian Xinping,Jin Zhengyu 대한영상의학회 2024 Korean Journal of Radiology Vol.25 No.4

        Objective: To evaluate the image quality of novel dark-blood computed tomography angiography (CTA) imaging combined with deep learning reconstruction (DLR) compared to delayed-phase CTA images with hybrid iterative reconstruction (HIR), to visualize the cervical artery wall in patients with Takayasu arteritis (TAK). Materials and Methods: This prospective study continuously recruited 53 patients with TAK (mean age: 33.8 ± 10.2 years; 49 females) between January and July 2022 who underwent head-neck CTA scans. The arterial- and delayed-phase images were reconstructed using HIR and DLR. Subtracted images of the arterial-phase from the delayed-phase were then added to the original delayed-phase using a denoising filter to generate the final-dark-blood images. Qualitative image quality scores and quantitative parameters were obtained and compared among the three groups of images: Delayed-HIR, Dark-blood-HIR, and Dark-blood-DLR. Results: Compared to Delayed-HIR, Dark-blood-HIR images demonstrated higher qualitative scores in terms of vascular wall visualization and diagnostic confidence index (all P < 0.001). These qualitative scores further improved after applying DLR (Dark-blood-DLR compared to Dark-blood-HIR, all P < 0.001). Dark-blood DLR also showed higher scores for overall image noise than Dark-blood-HIR (P < 0.001). In the quantitative analysis, the contrast-to-noise ratio (CNR) values between the vessel wall and lumen for the bilateral common carotid arteries and brachiocephalic trunk were significantly higher on Darkblood- HIR images than on Delayed-HIR images (all P < 0.05). The CNR values were significantly higher for Dark-blood-DLR than for Dark-blood-HIR in all cervical arteries (all P < 0.001). Conclusion: Compared with Delayed-HIR CTA, the dark-blood method combined with DLR improved CTA image quality and enhanced visualization of the cervical artery wall in patients with TAK.

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