公开(公告)号：WO2012040410A2

公开(公告)日：2012-03-29

申请号：PCT/US2011052675

申请日：2011-09-22

Applicant: SIEMENS CORP ,  SIEMENS AG ,  LIU DAVID ,  WU DIJIA ,  ZHOU SHAOHUA KEVIN ,  COSTA MARIA JIMENA ,  SUEHLING MICHAEL ,  TIETJEN CHRISTIAN

Inventor： LIU DAVID ,  WU DIJIA ,  ZHOU SHAOHUA KEVIN ,  COSTA MARIA JIMENA ,  SUEHLING MICHAEL ,  TIETJEN CHRISTIAN

IPC: G06T7/00

CPC classification number: G06T7/0016 ,  G06T7/41 ,  G06T2207/10072 ,  G06T2207/20012 ,  G06T2207/20041 ,  G06T2207/20081 ,  G06T2207/20104 ,  G06T2207/30056

Abstract: A method and system for automatically detecting liver lesions in medical image data, such as 3D CT images, is disclosed. A liver region is segmented in a 3D image. Liver lesion center candidates are detected in the segmented liver region. Lesion candidates are segmented corresponding to the liver lesion center candidates, and lesions are detected from the segmented lesion candidates using learning based verification.

Abstract translation: 公开了一种用于自动检测医学图像数据（例如3D CT图像）中的肝脏病变的方法和系统。 肝脏区域在3D图像中被分割。 在分段的肝脏区域中检测到肝脏病变中心候选者。 根据肝脏病变中心候选者对病变候选者进行分段，并且使用基于学习的验证从分段病变候选者中检测病变。

公开(公告)号：WO2012040410A3

公开(公告)日：2012-04-19

申请号：PCT/US2011052675

申请日：2011-09-22

Applicant: SIEMENS CORP ,  SIEMENS AG ,  LIU DAVID ,  WU DIJIA ,  ZHOU SHAOHUA KEVIN ,  COSTA MARIA JIMENA ,  SUEHLING MICHAEL ,  TIETJEN CHRISTIAN

Inventor： LIU DAVID ,  WU DIJIA ,  ZHOU SHAOHUA KEVIN ,  COSTA MARIA JIMENA ,  SUEHLING MICHAEL ,  TIETJEN CHRISTIAN

IPC: G06T7/00

CPC classification number: G06T7/0016 ,  G06T7/41 ,  G06T2207/10072 ,  G06T2207/20012 ,  G06T2207/20041 ,  G06T2207/20081 ,  G06T2207/20104 ,  G06T2207/30056

Abstract: A method and system for automatically detecting liver lesions in medical image data, such as 3D CT images, is disclosed. A liver region is segmented in a 3D image. Liver lesion center candidates are detected in the segmented liver region. Lesion candidates are segmented corresponding to the liver lesion center candidates, and lesions are detected from the segmented lesion candidates using learning based verification.

Abstract translation: 公开了一种用于自动检测医学图像数据中肝脏病变的方法和系统，如3D CT图像。 肝脏区域被分割成3D图像。 肝脏病变中心候选人在分段肝脏区域检测到。 病变候选者对应于肝脏病变中心候选物，并且使用基于学习的验证从分割的病变候选物检测病变。

公开(公告)号：WO2012040410A9

公开(公告)日：2012-03-29

申请号：PCT/US2011/052675

申请日：2011-09-22

Applicant: SIEMENS CORPORATION ,  SIEMENS AKTIENGESELLSCHAFT ,  LIU, David ,  WU, Dijia ,  ZHOU, Shaohua Kevin ,  COSTA, Maria Jimena ,  SUEHLING, Michael ,  TIETJEN, Christian

Inventor： LIU, David ,  WU, Dijia ,  ZHOU, Shaohua Kevin ,  COSTA, Maria Jimena ,  SUEHLING, Michael ,  TIETJEN, Christian

IPC: G06T7/00

Abstract: A method and system for automatically detecting liver lesions in medical image data, such as 3D CT images, is disclosed. A liver region is segmented in a 3D image. Liver lesion center candidates are detected in the segmented liver region. Lesion candidates are segmented corresponding to the liver lesion center candidates, and lesions are detected from the segmented lesion candidates using learning based verification.