Pointsbased reconstruction and rendering of 3D shapes from large volume dataset

Mingchang Zhao; Jie Tian; Huiguang He; Guangming Li

doi:10.1117/12.479608

30 May 2003 Points based reconstruction and rendering of 3D shapes from large volume dataset

Mingchang Zhao, Jie Tian, Huiguang He, Guangming Li

Proceedings Volume 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display; (2003) https://doi.org/10.1117/12.479608
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

In the field of medical imaging, researchers often need visualize lots of 3D datasets to get the informaiton contained in these datasets. But the huge data genreated by modern medical imaging device challenge the real time processing and rendering algorithms at all the time. Spurring by the great achievement of Points Based Rendering (PBR) in the fields of computer graphics to render very large meshes, we propose a new algorithm to use the points as basic primitive of surface reconstruction and rendering to interactively reconstruct and render very large volume dataset. By utilizing the special characteristics of medical image datasets, we obtain a fast and efficient points-based reconstruction and rendering algorithm in common PC. The experimental results show taht this algorithm is feasible and efficient.

Citation Download Citation

Mingchang Zhao, Jie Tian, Huiguang He, and Guangming Li "Points based reconstruction and rendering of 3D shapes from large volume dataset", Proc. SPIE 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display, (30 May 2003); https://doi.org/10.1117/12.479608

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