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3D reconstruction of a patient‐specific surface model of the proximal femur from calibrated x‐ray radiographs: A validation study a)
Author(s) -
Zheng Guoyan,
Schumann Steffen
Publication year - 2009
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3089423
Subject(s) - radiography , 3d reconstruction , medicine , iterative reconstruction , surface reconstruction , cadaver , surface (topology) , nuclear medicine , computer vision , artificial intelligence , radiology , computer science , mathematics , anatomy , geometry
Twenty‐three femurs (one plastic bone and twenty‐two cadaver bones) with both nonpathologic and pathologic cases were considered to validate a statistical shape model based technique for three‐dimensional (3D) reconstruction of a patient‐specific surface model from calibrated x‐ray radiographs. The 3D reconstruction technique is based on an iterative nonrigid registration of the features extracted from a statistically instantiated 3D surface model to those interactively identified from the radiographs. The surface models reconstructed from the radiographs were compared to the associated ground truths derived either from a 3D CT‐scan reconstruction method or from a 3D laser‐scan reconstruction method and an average error distance of 0.95 mm were found. Compared to the existing works, our approach has the advantage of seamlessly handling both nonpathologic and pathologic cases even when the statistical shape model that we used was constructed from surface models of nonpathologic bones.