| CPC A61B 6/505 (2013.01) [A61B 6/463 (2013.01); A61B 6/469 (2013.01); A61B 6/5217 (2013.01); A61B 6/54 (2013.01); G06T 7/0012 (2013.01); G06T 7/64 (2017.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20101 (2013.01); G06T 2207/30012 (2013.01)] | 15 Claims |
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1. A bone age estimation method, comprising the steps of:
extracting a region of interest including a cervical spine region from a lateral cephalometric radiographic image obtained by imaging a subject's cervical spine, by using a first deep learning model;
extracting landmarks from the extracted region of interest by using a second deep learning model;
displaying landmarks as points in the region of interest on the basis of a user input selecting landmarks to be displayed and landmarks to not be displayed from the extracted landmarks;
calculating a landmark numerical value on the basis of the displayed landmarks; and
providing maturity information of a maturation stage of the cervical spine on the basis of the calculated landmark numerical value,
wherein the step of providing maturity information includes:
a step of visually providing the maturity information of the cervical spine on the basis of a gender of the subject, age-specific standardization information for a concavity of a fourth cervical spine lower border corresponding to the gender of the subject, and a concavity ratio of the fourth cervical spine lower border of the subject, and
a step of providing a graph corresponding to the age-specific standardization information and a graph corresponding to the concavity ratio of the fourth cervical spine lower border of the subject to be overlaid.
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