Kris B. Siemionow,Cristian J. Luciano,Dominik Gawel,Edwing Isaac Mejia Orozco,Michal Trzmiel
申请号：
US16677707
公开号：
US20200151507A1
申请日:
2019.11.08
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A method for autonomous segmentation of three-dimensional nervous system structures from raw medical images, the method including: receiving a 3D scan volume with a set of medical scan images of a region of the anatomy； autonomously processing the set of medical scan images to perform segmentation of a bony structure of the anatomy to obtain bony structure segmentation data； autonomously processing a subsection of the 3D scan volume as a 3D region of interest by combining the raw medical scan images and the bony structure segmentation data, wherein the 3D ROI contains a subvolume of the bony structure with a portion of surrounding tissues, including the nervous system structure； autonomously processing the ROI to determine the 3D shape, location, and size of the nervous system structures by means of a pre-trained convolutional neural network (CNN).
