发明名称 Method and system for integrated radiological and pathological information for diagnosis, therapy selection, and monitoring
摘要 A method and system for integrating radiological and pathological information for cancer diagnosis, therapy selection, and monitoring is disclosed. A radiological image of a patient, such as a magnetic resonance (MR), computed tomography (CT), positron emission tomography (PET), or ultrasound image, is received. A location corresponding to each of one or more biopsy samples is determined in the at least one radiological image. An integrated display is used to display a histological image corresponding to the each biopsy samples, the radiological image, and the location corresponding to each biopsy samples in the radiological image. Pathological information and radiological information are integrated by combining features extracted from the histological images and the features extracted from the corresponding locations in the radiological image for cancer grading, prognosis prediction, and therapy selection.
申请公布号 US9478022(B2) 申请公布日期 2016.10.25
申请号 US201214240534 申请日期 2012.08.22
申请人 Siemens Medical Solutions USA, Inc. 发明人 Kamen Ali;Grady Leo;Paladini Gianluca;Khurd Parmeshwar;Kutter Oliver;Comaniciu Dorin
分类号 G06K9/00;G06T7/00;A61B6/00;A61B8/00;G06F19/00;A61B6/12;A61B8/08;A61B10/02 主分类号 G06K9/00
代理机构 代理人
主权项 1. A method of integrating radiological and pathological information in cancer diagnosis and treatment, comprising: receiving at least one radiological image of a patient; determining a location corresponding to each of one or more biopsy samples in the at least one radiological image; displaying an integrated display of image information including one or more histological images corresponding to the one or more biopsy samples, the at least one radiological image, and the location corresponding to each of the one or more biopsy samples in the at least one radiological image; and automatically predicting a prognosis for the patient based on features extracted from each of the one or more histological images and features extracted from the location corresponding to each of the one or more biopsy samples in the at least one radiological image using a trained regression function.
地址 Malvern PA US