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Study on multi-density contrast agent fillers of duct casting based on CT three-dimensional reconstruction.

The three-dimensional visualization model of human body duct is based on virtual anatomical structure reconstruction with duct angiography, which realizes virtual model transferred from two-dimensional, planar and static images into three-dimensional, stereoscopic and dynamic ones repectively. In recent years, the multi-duct segmentation and division of the same specimen (or organ) is the focus of attention shared by surgeons and clinical anatomists. On the basis of 4.22 g/cm(3) body bone density, this study has screened out metal oxide contract agent with different density for infusion and modeling, as well as compared and analyzed the effects of three-dimensional image of CT virtual bronchoscopy (CTVB), three-dimensional image of CT maximum intensity projection and three-dimensional model. This experiment result showed synchronously infusing multi-duct of same specimen (or organ) with contrast agent in different densities could reconstruct three-dimensional models of all ducts once only and adjust threshold to develop single or multiple ducts. It was easier to segment and observe the duct structure, anastomosis, directions and crossing in different parts, which was beyond comparison with three-dimensional image of CTVB. Although the existing three-dimensional duct reconstruction techniques still cannot be applied in living bodies temporarily, this study focused on a creative design of ducts segmentation in different density, which proposed a new experimental idea for developing multi-duct three-dimensional model in living body in the future. It will play a significant role in disease diagnosis and individual design in surgical treatment program. Therefore, this study observes the three-dimensional status of human duct with the application of contrast agent fillers in different density, combined with three-dimensional reconstruction technology. It provides an innovative idea and method for constructing three-dimensional model of digital multi-duct specimen, and the ultimate goal is to develop the digitized virtual human and precise medical treatment better and faster.

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