Method and System for Liver Lesion Detection
AssigneeSiemens Aktiengesellschaft
InventorsDavid Liu, Dijia Wu, Shaohua Kevin Zhou, Maria Jimena Costa, Michael Suehling, Christian Tietjen
Life of this patent
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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.
Claims34
A method for detecting liver lesions in a 3D medical image comprising:
- detecting liver lesion center candidates in the 3D medical image;
- segmenting a lesion candidate corresponding to each liver lesion center candidate;
- and
- detecting lesions from the segmented lesion candidates using learning based verification.
An apparatus for detecting liver lesions in a 3D medical image comprising:
- means for detecting liver lesion center candidates in the 3D medical image;
- means for segmenting a lesion candidate corresponding to each liver lesion center candidate;
- and
- means for detecting lesions from the segmented lesion candidates using learning based verification.
A non-transitory computer readable medium encoded with computer executable instructions for detecting liver lesions in a 3D medical image, the computer executable instructions defining steps comprising:
- detecting liver lesion center candidates in the 3D medical image;
- segmenting a lesion candidate corresponding to each liver lesion center candidate;
- and
- detecting lesions from the segmented lesion candidates using learning based verification.
Dependencies are inferred from the claim text.