Generating combined diagnostic imaging and pathology images
AssigneeKoninklijke Philips N.V.
InventorsTOBIAS WISSEL, CHRISTIAN BUERGER, RENAT KOZODAYEV, GEORGII KOLOKOLNIKOV
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Abstract
A computer-implemented image generation method (100) for generating combined diagnostic imaging and pathology images is described. The method (100) comprises: acquiring with a first imaging modality pathological image data (110) of a subject; acquiring with a second imaging modality diagnostic image data (120) of the subject; mapping (140) the pathological image data to the diagnostic image data; and applying an image generation algorithm (150) in order to generate a combined diagnostic and pathology image based on the mapping of the data.
Claims20
A computer-implemented image generation method for generating combined diagnostic imaging and pathology images, the method comprising:
- acquiring, with a first imaging modality, pathological image data of biopsied regions of a subject;
- acquiring, with a second imaging modality, diagnostic image data of the subject;
- mapping the pathological image data to the diagnostic image data;
- and
- applying an image generation algorithm in order to generate a combined diagnostic and pathology image based on the mapping of the data, wherein the image generation algorithm is a machine learning algorithm refined based on mapping information, and wherein the image generation algorithm is further configured for determining cellular information from the pathological image data of biopsied regions of a subject, and extrapolating this information to non-biopsied regions for determining cellular information of non-biopsied regions.
A system for generating combined diagnostic imaging and pathology images, the system comprising of:
- first imaging modality configured to generate pathological image data of biopsied regions of a subject;
- second imaging modality configured to generate diagnostic image data of the subject;
- a processor;
- the system further configured to:
- acquire pathological image data of biopsied regions of a subject from the first imaging modality;
- acquire diagnostic image data from the second imaging modality;
- map the pathological image data to the diagnostic image data;
- and
- the processor configured to execute an image generation algorithm in order to generate a combined diagnostic and pathology image based on the mapping of the data, wherein the image generation algorithm is a machine learning algorithm trained based on mapping information, and wherein the image generation algorithm is further configured for determining cellular information from the pathological image data of biopsied regions of a subject, and extrapolating this information to non-biopsied regions for determining cellular information of non-biopsied regions.
Dependencies are inferred from the claim text.