@Article{mcb.2020.08933,
AUTHOR = {Xiaozhong Chen},
TITLE = {Hierarchical Rigid Registration of Femur Surface Model Based on Anatomical Features},
JOURNAL = {Molecular \& Cellular Biomechanics},
VOLUME = {17},
YEAR = {2020},
NUMBER = {3},
PAGES = {139--153},
URL = {http://www.techscience.com/mcb/v17n3/39484},
ISSN = {1556-5300},
ABSTRACT = {Existing model registration of individual bones does not have a high
certainly of success due to the lack of anatomic semantic. In light of the surface
anatomy and functional structure of bones, we hypothesized individual femur
models would be aligned through feature points both in geometrical level and
in anatomic level, and proposed a hierarchical approach for the rigid registration
(HRR) of point cloud models of femur with high resolution. Firstly, a coarse
registration between two simplified point cloud models was implemented based
on the extraction of geometric feature points (GFPs); and then, according to the
anatomic feature points (AFPs) in two level namely shape features and structure
features, the fine weight-based registration was performed to achieve anatomical
alignment; finally, the origin source model was automatically transformed by
applying the obtained coarse matrix and fine one in sequence. Experimental
results show that the hierarchical registration method can rapidly and accurately
register point clouds of individual femurs, and achieves the medical semantic
alignment, and provides a basic tool for the understanding and comparison of
femur anatomy and structure.},
DOI = {10.32604/mcb.2020.08933}
}