发明名称 |
Multiparametric non-linear dimension reduction methods and systems related thereto |
摘要 |
Featured are methods and systems to multiparametric non-linear dimension reduction (NLDR) methods for segmentation and classification of radiological images. Such methods for segmentation and classification of radiological images, includes pre-processing of acquired image data; and reconstructing the acquired image data using a non-linear dimension reduction technique so as to yield an embedded image representing all of the acquired, where the acquired image data comprises a plurality of different sets of image data of the same region of interest. Such NLDR methods and systems are particularly suitable for the ability to combine multiple input images into a single unit for increased specificity of diagnosis. |
申请公布号 |
US9256966(B2) |
申请公布日期 |
2016.02.09 |
申请号 |
US201214000011 |
申请日期 |
2012.02.17 |
申请人 |
The Johns Hopkins University |
发明人 |
Jacobs Michael A.;Akhbardeh Alireza |
分类号 |
G06K9/00;G06T11/00;A61B5/055;G06K9/62;G06T7/00;A61B5/00;A61B6/00 |
主分类号 |
G06K9/00 |
代理机构 |
Mintz Levin Cohn Ferris Glovsky and Popeo, P.C. |
代理人 |
Mintz Levin Cohn Ferris Glovsky and Popeo, P.C. ;Corless Peter F.;Emmons Richard B. |
主权项 |
1. A method for segmentation and classification of radiological images, said method comprising the steps of:
pre-processing of acquired image data; resizing a number of slices in a plurality of planes to a desired size using orthogonal reslicing; and reconstructing the acquired image data using a non-linear dimension reduction technique so as to yield an embedded image representing all of the acquired, where the acquired image data comprises a plurality of different sets of image data of the same region of interest. |
地址 |
Baltimore MD US |