2results about How to "Guaranteed registration accuracy" patented technology

The application discloses a parameterized human body model reconstruction method based on a Chinese database, three-dimensional human body grid data of multiple female naked bodies of different ages, body types and heights are collected to establish a database; point clouds are learned based on BPS, SMPL model grid points are respectively roughly registered to the vicinity of each three-dimensional human body grid point to generate corresponding rough registration models; then, a non-rigid grid registration algorithm based on an ICP algorithm is used to finely register each rough registration model to generate corresponding SMPLD models; each SMPLD model is corrected in a standard standing posture, and then PCA principal component analysis is performed on each SMPLD model after the standing posture correction, a plurality of principal component proportions obtained are used as body parameters of a parameterized human body model adapted to Chinese body shapes, original posture parameters of the SMPL model are used as posture parameters of the parameterized human body model adapted to Chinese body shapes, and a final parameterized human body model is constructed.

The application discloses a three-dimensional image registration method, comprising the steps of: obtaining the position of a mark point on a phantom in a phantom coordinate system; obtaining a three-dimensional image of the phantom through a C-arm scanner, periodically obtaining the pose of the C-arm in the scanning process, and constructing a C-arm coordinate system; identifying the position of the mark point in the three-dimensional image, and calculating the transformation relationship between the image coordinate system and the phantom coordinate system; calculating the transformation relationship between the C-arm coordinate system and the phantom coordinate system according to the pose of the C-arm and the phantom identified by an optical tracking system, and calculating the transformation relationship between the C-arm coordinate system and the image coordinate system. In the application, the use of intraoperative positioning mark points is removed, the registration accuracy is ensured, the surgical process is simplified, and the surgical efficiency is improved.