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A novel multicolor quantum dots (QDs) based immunochromatographic test strip (ICTS) was developed for simultaneous quantitative detection of multiple tumor markers, by utilizing alpha fetoprotein (AFP) and carcinoembryonic antigen (CEA) as models. The immunosensor could realize simultaneous quantitative detection of tumor markers with only one test line and(More)
In this paper, we present an efficient robust labeling method for coronary arteries from X-ray angiograms based on energy optimization. The fundamental goal of this research is to facilitate the analysis and diagnosis of interventional surgery in the most efficient way, and such effort could also improve the performance during doctor training, and surgery(More)
This paper advocates a new component-aware framework to reconstruct 3D architecture from a single image. Different from existing work, our motivation is to obtain a complete set of semantically correct 3D architectural components, which enables part reusability towards rapid model reproduction and facilitates model variation. The core of our system is a(More)
In this paper, we present a parallel 4D vessel reconstruction algorithm that simultaneously recovers 3D structure, shape, and motion based on multiple views of X-ray angiograms. The fundamental goal is to assist the analysis and diagnosis of interventional surgery in the most efficient way towards interactive and accurate performance. We start with a fully(More)
This paper presents a novel modeling framework to build 3D models of Chinese architectures from elevation drawing. Our algorithm integrates the capability of automatic drawing recognition with powerful procedural modeling to extract production rules from elevation drawing. First, different from the previous symbol-based floor plan recognition, based on the(More)
In this paper, we formulate a novel trivariate biharmonic B-spline defined over bounded volumetric domain. The properties of bi-Laplacian have been well investigated, but the straightforward generalization from bivariate case to trivariate one gives rise to unsatisfactory discretization, due to the dramatically uneven distribution of neighbouring knots in(More)
Real-time and realistic physics-based simulation of deformable objects is of great value to medical intervention, training, and planning in virtual environments. This paper advocates a virtual-reality (VR) approach to minimally-invasive surgery/therapy (e.g., percutaneous coronary intervention) in medical procedures. In particular, we devise a robust and(More)
This paper proposes a method for integrating multiple range images obtained by a range scanner, aiming to get an entire model automatically. We extract texture images for all range images and register any pair of them based on image features of their texture images. To verify the correctness and filter out mismatching pairs of range images, multiview(More)
3D modeling and codec of real objects are hot issues in the field of virtual reality. In this paper, we propose an automatic registration two range images method and a cycle based automatic global registration algorithm for rapidly and automatically registering all range images and constructing a realistic 3D model. Besides, to meet the requirement of huge(More)
Cities are the largest human artifacts and appear often in digital entertainment. To create a virtual city, a roadmap has to be designed and a large number of buildings need to be generated. In this paper, we describe a method for procedurally generating urban map using template based techniques and parameterization algorithms in an interactive way. Our(More)