Medical Image Computation
I gained extensive experience in medical image processing during my graduate studies at Shanghai Jiao Tong University, beginning in 2019. Throughout this period, I developed strong expertise in OpenCV, medical image processing with ITK, visualization using VTK, and software development with Qt. Building upon these foundations, I further expanded my skill set into Deep Learning for medical image analysis. Concurrently, I strengthened my programming proficiency in both C++ and Python, which have become my primary development languages.
Projects
[Code] Orbital Rim Registration Software V1.1
01/2020-06/2020
Master Project, Supervisor: Dr. Xiaojun Chen
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A software for point clouds registration based on VTK7.0 and Qt5.0. (you can cmake it😀)The basic algorithm is ICP, the number of iterations is set to 50.
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The upper left window renders the stable STL while the upper right window can be input several STLs for transformation.
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You can either registrate by right clicking (to get points) on STL or registrate directly by point clouds.
You can find details here.
[Code] Bone Graft Segmentation in Maxillary Sinus using Tensorflow C++ API
09/2019-11/2019
Master Project, Supervisor: Dr. Xiaojun Chen
- Reduced computation time of a medical image computation software by 80% through integration of DL models.
- Compiled the TensorFlow C++ library and translated the segmentation pipelines from Python to C++ for deployment and performance optimization.
- Developed semi-automatic labelling algorithms to segment the bone graft from maxillary sinus for training.
You can find the code here.
[Code] Course Project of Advanced Biomedical Image Processing
04/2020-06/2020
Course Project, Advanced Biomedical Image Processing
Implemented several traditional algorithms in C++ with OpenCV3.4, VTK7.0 and QtGui.
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Thresholding: OTSU & Entropy and Histgram
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Convolution: Roberts & Sobel & Prewitt Operator and Gaussian & Median Filter
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Morphology: Basic Operations, Morphological Edge Detection, Gray Scale Reconstruction, Distance Transform & Skeleton and Conditional Dilation
You can find the code here.


