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	VOLUMETRIC RECONSTRUCTION OF CRANIOFACIAL STRUCTURES FROM 2D LATERAL CEPHALOGRAMS BY REGRESSION FOREST
	Pei, Yuru ; Dai, Fanfan ; Xu, Tianmin ; Zha, Hongbin ; Ma, Gengyu
	2016
关键词	volumetric intensity image reconstruction lateral cephalogram regression forest craniofacial structures X-RAY IMAGES REGISTRATION CT
英文摘要	The 3D reconstruction is an essential step to measure the craniofacial morphological changes from the historical growth database with only 2D cephalograms. In this paper, we propose a novel regression-forest-based method to estimate the volumetric intensity images from a lateral cephalogram. The regression forest can produce a prediction of the volumetric craniofacial structure as a mixture of Gaussian by weighted aggregating the distributions from trees. The dense anatomical structure can be reconstructed with no time-consuming digitally-reconstructed-radiographs (DRR) in the online testing process. The experiments demonstrate the proposed method can reconstruct volumetric intensity images from the lateral cephalograms effectively.; CPCI-S(ISTP); 4052-4056
语种	英语
出处	23rd IEEE International Conference on Image Processing (ICIP)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/459891]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Pei, Yuru,Dai, Fanfan,Xu, Tianmin,et al. VOLUMETRIC RECONSTRUCTION OF CRANIOFACIAL STRUCTURES FROM 2D LATERAL CEPHALOGRAMS BY REGRESSION FOREST. 2016-01-01.

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