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Wu, Menglin,Chen, Qiang,He, XiaoJun,Li, Ping,Fan, Wen,Yuan, SongTao,Park, Hyunjin IEEE 2018 IEEE Transactions on Biomedical Engineering Vol.65 No.1
<P>Objective: Accurate segmentation of neurosensory retinal detachment (NRD) associated subretinal fluid in spectral domain optical coherence tomography (SD-OCT) is vital for the assessment of central serous chorioretinopathy (CSC). A novel two-stage segmentation algorithm was proposed, guided by Enface fundus imaging. Methods: In the first stage, Enface fundus image was segmented using thickness map prior to detecting the fluid-associated abnormalities with diffuse boundaries. In the second stage, the locations of the abnormalities were used to restrict the spatial extent of the fluid region, and a fuzzy level set method with a spatial smoothness constraint was applied to subretinal fluid segmentation in the SD-OCT scans. Results: Experimental results from 31 retinal SD-OCT volumes with CSC demonstrate that our method can achieve a true positive volume fraction (TPVF), false positive volume fraction (FPVF), and positive predicative value (PPV) of 94.3%, 0.97%, and 93.6%, respectively, for NRD regions. Our approach can also discriminate NRD-associated subretinal fluid from subretinal pigment epithelium fluid associated with pigment epithelial detachment with a TPVF, FPVF, and PPV of 93.8%, 0.40%, and 90.5%, respectively. Conclusion: We report a fully automatic method for the segmentation of subretinal fluid. Significance: Our method shows the potential to improve clinical therapy for CSC.</P>
Medical Image Retrieval with Relevance Feedback via Pairwise Constraint Propagation
( Menglin Wu ),( Qiang Chen ),( Quansen Sun ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.1
Relevance feedback is an effective tool to bridge the gap between superficial image contents and medically-relevant sense in content-based medical image retrieval. In this paper, we propose an interactive medical image search framework based on pairwise constraint propagation. The basic idea is to obtain pairwise constraints from user feedback and propagate them to the entire image set to reconstruct the similarity matrix, and then rank medical images on this new manifold. In contrast to most of the algorithms that only concern manifold structure, the proposed method integrates pairwise constraint information in a feedback procedure and resolves the small sample size and the asymmetrical training typically in relevance feedback. We also introduce a long-term feedback strategy for our retrieval tasks. Experiments on two medical image datasets indicate the proposed approach can significantly improve the performance of medical image retrieval. The experiments also indicate that the proposed approach outperforms previous relevance feedback models.
Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging
Wu, Menglin,Cai, Xinxin,Chen, Qiang,Ji, Zexuan,Niu, Sijie,Leng, Theodore,Rubin, Daniel L.,Park, Hyunjin ELSEVIER SCIENTIFIC PUBLISHERS IRELAND LTD 2019 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE Vol.182 No.-
<P><B>Abstract</B></P> <P><B>Background and objective</B></P> <P>Accurate assessment of geographic atrophy (GA) is critical for diagnosis and therapy of non-exudative age-related macular degeneration (AMD). Herein, we propose a novel GA segmentation framework for spectral-domain optical coherence tomography (SD-OCT) images that employs synthesized fundus autofluorescence (FAF) images.</P> <P><B>Methods</B></P> <P>An en-face OCT image is created via the restricted sub-volume projection of three-dimensional OCT data. A GA region-aware conditional generative adversarial network is employed to generate a plausible FAF image from the en-face OCT image. The network balances the consistency between the entire synthesize FAF image and the lesion. We use a fully convolutional deep network architecture to segment the GA region using the multimodal images, where the features of the en-face OCT and synthesized FAF images are fused on the front-end of the network.</P> <P><B>Results</B></P> <P>Experimental results for 56 SD-OCT scans with GA indicate that our synthesis algorithm can generate high-quality synthesized FAF images and that the proposed segmentation network achieves a dice similarity coefficient, an overlap ratio, and an absolute area difference of 87.2%, 77.9%, and 11.0%, respectively.</P> <P><B>Conclusion</B></P> <P>We report an automatic GA segmentation method utilizing synthesized FAF images.</P> <P><B>Significance</B></P> <P>Our method is effective for multimodal segmentation of the GA region and can improve AMD treatment.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Novel geographic atrophy (GA) segmentation for spectral-domain optical coherence tomography. </LI> <LI> Our approach uses synthesized fundus autofluorescence images to aid the segmentation. </LI> <LI> Our method can improve the segmentation performance of the GA. </LI> </UL> </P>
Rapid Dynamic Response Flyback AC-DC Converter Design
Changyuan Chang,Menglin Wu,Luyang He,Dadi Zhao 전력전자학회 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.6
A constant voltage AC-DC converter based on digital assistant technology is proposed in this paper, which has rapid dynamic response capability. The converter operates in the PFM (Pulse Frequency Modulation) mode. According to the load state, the compensation current produced by the digital compensation module was injected into the CS pin to adjust the switching pulse width dynamically and improve the dynamic response. The control chip is implemented based on NEC 1μm 5V/40V HVCMOS process. A 5V/1.2A prototype has been built to verify the proposed control method. When the load jumps from idle to heavy, the undershoot time is only 7.4ms.
Rapid Dynamic Response Flyback AC-DC Converter Design
Chang, Changyuan,Wu, Menglin,He, Luyang,Zhao, Dadi The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.6
A constant voltage AC-DC converter based on digital assistant technology is proposed in this paper, which has rapid dynamic response capability. The converter operates in the PFM (Pulse Frequency Modulation) mode. According to the load state, the compensation current produced by the digital compensation module was injected into the CS pin to adjust the switching pulse width dynamically and improve the dynamic response. The control chip is implemented based on NEC $1{\mu}m$ 5V/40V HVCMOS process. A 5V/1.2A prototype has been built to verify the proposed control method. When the load jumps from idle to heavy, the undershoot time is only 7.4ms.
Fault-tolerant converter and fault-tolerant methods for switched reluctance generators
Han, Guoqiang,Liu, Wanli,Lu, Zhe,Wu, Menglin,Lin, Hang The Korean Institute of Power Electronics 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.10
Aiming at improving the fault-tolerant performance of switched reluctance generators, a new power converter with fault-tolerance capability is proposed in this paper. The structure of the converter is simple and there is only one transistor in each of the working modes, which makes fault diagnosis easier. To obtain more fault information, an improved current measurement method is proposed. The phase current is obtained by solving current equations obtained by current sensors and rotor positions. Open-circuit and short-circuit faults can be determined by comparing the consistency of the current slope and gate signal. Fault locations can be determined by comparing the relationships among the magnitude of the bus current, the phase current, and the corresponding thresholds. Open-circuit transistors can be replaced by fault-tolerant strategy, which returns the power converter to normal and maintains the stable operation of the system. Simulations and experiments show that the open-circuit and short-circuit faults of transistors can be diagnosed by the proposed strategy.