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科研方法
| ★方法一：基于图论方法的光学相干断层扫描图像分割 |
| 我们已经提出用基于图论的方法对病变视网膜层分割和症状性渗出物相关的紊乱的病变区域分割。所提出的图论方法有效地结合了图搜索和图割方法，能同时分割和视网膜层。 |
基于图论的图搜索图割算法
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症状性渗出物相关的紊乱的病变区域分割 |
色素上皮层脱落的病变视网膜图像分割 |
相关论文 |
(1). Xinjian Chen, Meindert Niemeijer, Li Zhang, Kyungmoo Lee, Michael D. Abràmoff, and Milan Sonka, 3D SEAD Segmentation by Probability Constrained Graph-Search-Graph-Cut, IEEE Transactions on Medical Imaging, Vol. 31, No.8, pp.1521-1531,Epub. Mar. 19, 2012.
(2). Fei Shi, Xinjian Chen*, Heming Zhao, Weifang Zhu, Dehui Xiang, Enting Gao, Milan Sonka and Haoyu Chen， Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images with Serous Pigment Epithelial Detachments, IEEE Transactions on Medical Imaging, 2014.
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| ★方法二：基于分类方法的病变结构检测 |
| 分类是机器视觉和模式识别的一个共同的研究领域，已广泛应用于医学图像检测，医学图像分割、医学疾病的诊断。分类包括两分类和多分类问题。 |
对外界膜断裂的定量分析
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内节/外节缺失的定量分析 |
相关论文 |
(1). Xinjian Chen, Ping Hou, Chao Jin, Weifang Zhu, Xiaohong Luo, Fei Shi, Milan Sonka and Haoyu Chen, Quantitative analysis of retinal layers' optical intensities on 3D optical coherence tomography, IOVS, vol. 54, No. 10, pp. 6846-6851,Oct, 2013.
(2). Xinjian Chen, Li Zhang, Elliott H. Sohn, Kyungmoo Lee, Meindert Niemeijer, John Chen, Milan Sonka, and Michael D. Abramoff, Quantification of External Limiting Membrane Disruption Caused by Diabetic Macular Edema from SD-OCT, IOVS, Vol. 53, No. 13, pp. 8042-8048, 2012.
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| ★方法四：融合图割与定向的主动轮廓模型方法 |
| 我们已经提出用基于图论的方法对病变视网膜层分割和症状性渗出物相关的紊乱的病变区域分割。所提出的图论方法有效地结合了图搜索和图割方法，能同时分割和视网膜层。 |
肿瘤生长预测
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多器官分割 |
在正电子发射计算机断层扫描成像图像上的肺肿瘤分割 |
相关论文 |
(1). GC-ASM: Synergistic Integration of Graph-Cut and Active Shape Model Strategies for Image Segmentation, Computer Vision and Image Understanding, 2013.
(2). Xinjian Chen, et. al, Medical Image Segmentation by Combining Graph Cut and Oriented Active Appearance Models, IEEE Transactions on Image Processing, Vol.21, No.4,pp. 2035-2046, EPub. Jan. 31,2011.
(3). Kidney Tumor Growth Prediction by Coupling Reaction-Diffusion and Biomechanical Model, IEEE Transactions on Biomedical Engineering, 2013.
(4). Xinjian Chen, Jayaram K. Udupa, Abass Alavi and Drew A. Torigian, Automatic Anatomy Recognition via MultiObject Oriented Active Shape Models, Medical Physics, Vol. 37, No. 12, pp. 6390-6401, 2010.
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| ★方法五：多普勒光学相干断层扫描成像 |
多普勒光学相干断层扫描成像原理
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多普勒光学相干断层扫描成像设备对人的手掌实时成像 |
| ★方法六：改进的基于低阶+稀疏分解的OCT散斑去除算法 |
| 散斑噪声严重影响OCT图像的精确定量分析。我们提出了一种基于低阶+稀疏分解的OCT图像散斑去除算法。将去除散斑的OCT图像视为低阶分量，散斑图像视为稀疏分量。该算法能够提高OCT图像的对比噪声比、对比度和边缘清晰度。[Matlab代码下载] |
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相关论文 |
Ivica Kopriva, Fei Shi, Xinjian Chen, Enhanced low-rank +sparsity decomposition for speckle reduction in optical coherence tomography, Journal of Biomedical Optics, 2016 (In Press)
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