发明名称 |
System and method for gradient assisted non-connected automatic region (GANAR) analysis |
摘要 |
A system and method for analyzing medical images of a subject includes acquiring the medical images of the subject and texture images. A computer system determines, using the medical images and the texture feature images, a plurality of segmentation surfaces by iteratively adjusting a relationship between a region growing algorithm that selects a region of interest (ROI) to determine a given segmentation surface and cost function for evaluating the given segmentation surface. The computer system generates a report using the plurality of segmentation surfaces indicating at least boundaries between anatomical structures with functional differences in the medical images. |
申请公布号 |
US9355447(B2) |
申请公布日期 |
2016.05.31 |
申请号 |
US201313971913 |
申请日期 |
2013.08.21 |
申请人 |
Wisconsin Alumni Research Foundation |
发明人 |
Galavis Paulina E.;Paliwal Bhudatt;Holden James;Jeraj Robert |
分类号 |
G06K9/00;G06T7/00;G06T7/40;A61N5/10 |
主分类号 |
G06K9/00 |
代理机构 |
Quarles & Brady, LLP |
代理人 |
Quarles & Brady, LLP |
主权项 |
1. A method for programming operation of a radiation therapy system to deliver radiation therapy to a subject, the method comprising:
acquiring medical images of the subject including functional information and anatomical information about the subject; generating texture feature images using the acquired medical images; using the medical images and the texture feature images, determining a plurality of segmentation surfaces by minimizing a relationship between a region growing algorithm that selects a region of interest (ROI) to determine a given segmentation surface and cost function for evaluating the given segmentation surface; synthesizing the plurality of segmentation surfaces into a segmentation report; and using information from the segmentation report to program operation of the radiation therapy system for a delivery of radiation therapy to the subject. |
地址 |
Madison WI US |