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Beijing, China

Dong L.,University of Electronic Science and Technology of China | Wang X.,University of Electronic Science and Technology of China | Tong T.,University of Electronic Science and Technology of China | Feng H.,University of Electronic Science and Technology of China | And 2 more authors.
Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 | Year: 2010

Cardiovascular diseases (CVDs) continue to be the number one cause of death globally. Functions evaluation of left ventricle (LV), especially ejection fraction (EF) and mass, is the significant predictor of CVDs. Taking the place of extremely time-consuming manual segmentation, accurate extraction of the cavity and myocardium of LV is the key step for analyzing heart functions quantitatively. In this paper, an improved robust semi-automated approach is presented for segmentation of cavity and myocardium from 3D cardiac multi-slice CT (MSCT) dataset. Based on random walks, a novel seeds selection method composed of region growing technique and morphological operation is introduced to locate and identify the cavity and myocardium of LV. 6-connected lattice topology and Conjugate Gradient method have been applied in the random walker algorithm to promote the segmentation performance of 3D dataset. The consecutive result of 3D reconstruction shows the efficacy and advantage of our method for the segmentation of LV in MSCT images. ©2010 IEEE. Source


Tong T.,University of Electronic Science and Technology of China | Huang Y.,University of Electronic Science and Technology of China | Wang X.,University of Electronic Science and Technology of China | Feng H.,University of Electronic Science and Technology of China | Li C.,Medical Image Center
ICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology | Year: 2010

Accurate segmentation of lung texture tree is an essential step for diagnosing pulmonary diseases, including pulmonary emboli and nodules detection, which provides powerful information for research of automatic computeraided diagnostic (CAD) systems. It still remains a challenging problem because of partial volume effects, high density airway walls and no difference on CT values between arteries and veins. In this paper, we present a novel approach to automatically extract lung tissue textures which contain bronchus and pulmonary veins and arteries. Firstly, we extract the bronchus branch by branch with an adaptive region growing approach. Secondly, a new technique based on selective marking and depth constrained (SMDC)-connection cost is proposed to segment the lung blood vessels. At last, we present a new method to separate the lung blood vessels into pulmonary veins and arteries by using an anatomical feature between each vessel and bronchus. About 91% of arteries and 92% of veins are correctly extracted. The results show that the proposed algorithm provides an automatic and efficient method to extract pulmonary veins and arteries and bronchus. © 2010 IEEE. Source


Wang X.-J.,University of Electronic Science and Technology of China | Dong L.-N.,University of Electronic Science and Technology of China | Li C.-F.,Medical Image Center | Fan Y.,University of Electronic Science and Technology of China | Feng H.-Q.,University of Electronic Science and Technology of China
Chinese Journal of Biomedical Engineering | Year: 2011

Recently several new multi-slice spiral CT (MSCT) machines have come into the market and they can provide 4D-CT imaging datasets which are useful for the dynamic function analysis of heart and lung. However, the very challenging key step is to find a powerful automatic/semi-automatic method to segment these organs from 4D-CT dataset accurately. A novel approach based on the improved coupled level set (ICLS) method has been developed to extract both the epicardium and endocardium boundaries of the left ventricle (LV) automatically. Based on structure continuity of MSCT slices, the LV cavity coarse region can be extracted from the real datasets by a new automatic localization algorithm, as the initial contour of the improved coupled level set. By incorporating the coarse cavity contours and prior knowledge into the traditional levelset model, the new established coupled level set approach could extract the epicardium and endocardium automatically and accurately. The experimental results of 8 cases of 256-slice 3D cardiac MSCT datasets show that, the average similarity of segmentation results of the LV cavity between ICLS model and manual operation is 95% or more, on average the LV myocardium more than 90%. The segmentation results of 3D surface reconstruction demonstrate the identity and integrity of the LV extracted from real MSCT datasets by ICLS approach. Source


Wang Z.G.,Medical Image Center | Cui W.,Special Needed Hospital Ward | Yang L.F.,Special Needed Hospital Ward | Zhu Y.Q.,Health Check Center | Wei W.H.,Special Needed Hospital Ward
Genetics and Molecular Research | Year: 2014

We conducted a hospital-based case-control study to investigate the associations of dietary intake of folate and MTHFR C677T and A1298C polymorphisms with breast cancer in a Chinese population. A 1:1-matched case-control study was conducted. Two hundred and thirty patients who were newly diagnosed and histologically confirmed breast cancer and 230 controls were enrolled from Xinxiang Central Hospital. Folate intake was calculated by standard portion size and relative size for each food item in the questionnaire. Genotyping of MTHFR C677T and A1298C was performed by PCR-RFLP. MTHFR 677TT (OR = 2.26, 95%CI = 1.09-4.87, P = 0.02) and T allele (OR = 1.40, 95%CI = 1.03-1.90, P = 0.03) had an increased risk of laryngeal cancer when compared with the CC genotype. We found any interaction between MTHFR C677T and folate intake (P for interaction = 0.02). In conclusion, our study demonstrated that MTHFR C677T polymorphism and folate are associated with risk of breast cancer. © FUNPEC-RP. Source


Huang Y.,University of Electronic Science and Technology of China | Tong T.,University of Electronic Science and Technology of China | Liu W.,University of Electronic Science and Technology of China | Fan Y.,University of Electronic Science and Technology of China | And 2 more authors.
2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010 | Year: 2010

Image registration is an indispensable process in the detection of brain structural and anatomical abnormities. Inverse-consistency, topology preserving and real time application are essential to provide accurate deformation fields for statistical analysis of brain variability. Unfortunately, the previous algorithms lacked of these features. We present a registration method by adapting the optimization procedure on a Lie pseudo-group so that the generated deformations are smooth with low energy of the deformation. In order to speed up the performance of registration method, we have implemented it on Nvidia 8800GTX GPU with Computer Unified Device Architecture (CUDA) platform. Experimental results indicate that large deformation compatible and topology preserving demonstrated through experiments on synthetic data and real brain CT images. Additionally, a faster runtime among the available GPU-based registration implementations against straight forward CPU version was achieved. © 2010 IEEE. Source

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