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Towards additive manufacturing oriented geometric modeling using implicit functions (2018)
Journal Article
Li, Q., Hong, Q., Qi, Q., Ma, X., Han, X., & Tian, J. (2018). Towards additive manufacturing oriented geometric modeling using implicit functions. Visual Computing for Industry, Biomedicine, and Art, 1(1), https://doi.org/10.1186/s42492-018-0009-y

Surface-based geometric modeling has many advantages in terms of visualization and traditional subtractive manufacturing using computer-numerical-control cutting-machine tools. However, it is not an ideal solution for additive manufacturing because t... Read More about Towards additive manufacturing oriented geometric modeling using implicit functions.

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions (2018)
Journal Article
Hong, Q., Li, Q., Wang, B., Liu, K., Lin, F., Lin, J., …Zeng, M. (2018). Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions. Computer aided geometric design, 62, 206-216. https://doi.org/10.1016/j.cagd.2018.03.006

Accurate vascular geometry modeling is an essential task in computer assisted vascular surgery and therapy. This paper presents a vessel cross-section based implicit vascular modeling technique, which represents a vascular surface as a set of locally... Read More about Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions.

3D vasculature segmentation using localized hybrid level-set method (2014)
Journal Article
Hong, Q., Li, Q., Wang, B., Li, Y., Yao, J., Liu, K., & Wu, Q. (2014). 3D vasculature segmentation using localized hybrid level-set method. BioMedical Engineering OnLine, 13(1), 169. doi:10.1186/1475-925x-13-169

Background Intensity inhomogeneity occurs in many medical images, especially in vessel images. Overcoming the difficulty due to image inhomogeneity is crucial for the segmentation of vessel image. Methods This paper proposes a localized hybrid l... Read More about 3D vasculature segmentation using localized hybrid level-set method.

GPU accelerating technique for rendering implicitly represented vasculatures (2014)
Journal Article
Hong, Q., Wang, B., Li, Q., Li, Y., & Wu, Q. (2014). GPU accelerating technique for rendering implicitly represented vasculatures. Bio-medical materials and engineering, 24(1), 1351-1357. doi:10.3233/BME-130938

With the flooding datasets of medical Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), implicit modeling techniques are increasingly applied to reconstruct the human organs, especially the vasculature. However, displaying implicitly rep... Read More about GPU accelerating technique for rendering implicitly represented vasculatures.

Virtual angioscopy based on implicit vasculatures (2011)
Journal Article
Hong, Q., Li, Q., & Tian, J. (2011). Virtual angioscopy based on implicit vasculatures. Lecture notes in computer science, 6785 LNCS(PART 4), 592-603. doi:10.1007/978-3-642-21898-9_49

Virtual endoscopy is among the most active areas in medical data visualization, which focuses on the simulated visualizations of specific hollow organs for the purposes of training and diagnosis. In this paper, we present a virtual angioscopy techniq... Read More about Virtual angioscopy based on implicit vasculatures.

Implicit reconstruction of vasculatures using bivariate piecewise algebraic splines (2011)
Journal Article
Hong, Q., Li, Q., & Tian, J. (2012). Implicit reconstruction of vasculatures using bivariate piecewise algebraic splines. IEEE Transactions on Medical Imaging, 31(3), 543-553. doi:10.1109/TMI.2011.2172455

Vasculature geometry reconstruction from volumetric medical data is a crucial task in the development of computer guided minimally invasive vascular surgery systems. In this paper, a technique for reconstructing the geometry of vasculatures using biv... Read More about Implicit reconstruction of vasculatures using bivariate piecewise algebraic splines.

Local hybrid level-set method for MRA image segmentation (2010)
Conference Proceeding
Hong, Q., Li, Q., & Tian, J. (2010). Local hybrid level-set method for MRA image segmentation. doi:10.1109/CIT.2010.250

In this paper, a local hybrid level-set method for medical image segmentation is presented. In proposed method, a locally fitted binary energy function is introduced into the hybrid level-set framework proposed by Zhang et al.. Compared with the glob... Read More about Local hybrid level-set method for MRA image segmentation.

Local hybrid level-set method for MRA image segmentation (2010)
Conference Proceeding
Hong, Q., Li, Q., & Tian, J. (2010). Local hybrid level-set method for MRA image segmentation. doi:10.1109/cit.2010.250

In this paper, a local hybrid level-set method formedical image segmentation is presented. In proposed method,a locally fitted binary energy function is introduced into thehybrid level-set framework proposed by Zhang et al..Compared with the globally... Read More about Local hybrid level-set method for MRA image segmentation.


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