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- 저자 : Lingchao Meng (검색결과 2 건)
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Yunhe Xiong,Wen-Biao Liao,Sixing Yang,Lingchao Meng,Chao Song 한국조직공학과 재생의학회 2015 조직공학과 재생의학 Vol.12 No.3
Ileal conduits are commonly used in bladder cancer treatment and in pediatric patients who require urinary diversion surgeries. We constructed a tissue-engineered conduit using bone marrow mesenchymal stem cells (BMSCs) and a bladder acellular matrix (BAM) and transplanted it into rabbits for urinary diversion to evaluate the feasibility of its clinical application. Rabbit BMSCs were isolated, expanded in vitro, and were then treated with a conditional medium for 3 weeks, allowing the BMSCs to transform into urothelium-like cells. These cells were seeded onto BAM and cultured for another week. The cell-matrix grafts were then sewn into a conduit approximately 4 cm in length and 1 cm in diameter and were implanted as conduits for urinary diversion in 12 male rabbits. Rabbits were sacrificed at 1, 2, and 4 week after operation. Histologic examinations were performed using hematoxylin and eosin staining and tissue structures were evaluated by using immunohistochemistry. BMSCs can transform into urothelium-like cells that express the urothelium-specific proteins uroplakin 1A (UPK1A), cytokeratin 7 (CK7), and cytokeratin 13 (CK13). These cells are able to generate epithelial coverage in the conduit lumen based on BAM. Immunohistochemistry showed positive staining with AE1/AE3, UPK1A, and tight junction protein 1 (ZO-1), indicating the presence of mature and functional epithelial cells on the lumen of the conduit. BMSCs may represent a new source cell for urinary tissue engineering, and it is feasible to construct a conduit with transformed BMSCs and BAM for urinary diversion in rabbits.
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3D Facial Landmark Tracking and Facial Expression Recognition
Medioni, Gerard,Choi, Jongmoo,Labeau, Matthieu,Leksut, Jatuporn Toy,Meng, Lingchao The Korea Institute of Information and Commucation 2013 Journal of information and communication convergen Vol.11 No.3
In this paper, we address the challenging computer vision problem of obtaining a reliable facial expression analysis from a naturally interacting person. We propose a system that combines a 3D generic face model, 3D head tracking, and 2D tracker to track facial landmarks and recognize expressions. First, we extract facial landmarks from a neutral frontal face, and then we deform a 3D generic face to fit the input face. Next, we use our real-time 3D head tracking module to track a person's head in 3D and predict facial landmark positions in 2D using the projection from the updated 3D face model. Finally, we use tracked 2D landmarks to update the 3D landmarks. This integrated tracking loop enables efficient tracking of the non-rigid parts of a face in the presence of large 3D head motion. We conducted experiments for facial expression recognition using both framebased and sequence-based approaches. Our method provides a 75.9% recognition rate in 8 subjects with 7 key expressions. Our approach provides a considerable step forward toward new applications including human-computer interactions, behavioral science, robotics, and game applications.
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