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US 2024/0404061 A1Published application
Detection of artifacts in synthetic medical images
OwnerMatthias LENGA, Ivo Matteo BALTRUSCHATinventors
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Abstract
The present disclosure relates to the technical field of generation of synthetic medical images. The subjects of the present disclosure are a method, a computer system and a computer-readable storage medium comprising a computer program for detecting artifacts in synthetic medical images.
Claims17
A computer-implemented method comprising:
- receiving at least one image (I1, I2) of an examination region of an examination object, wherein the at least one image (I1, I2) comprises a plurality of image elements, wherein each image element of the plurality of image elements represents a sub-region of the examination region;
- generating a plurality of different modifications (M11, M12, M13, M21, M22, M23) of the at least one received image (I1, I2);
- generating a plurality of synthetic images (S1, S2, S3) of the examination region of the examination object on the basis of the modifications (M11, M12, M13, M21, M22, M23) by means of a generative model (GM), wherein each synthetic image (S1, S2, S3) comprises a plurality of image elements, wherein each image element of the plurality of image elements represents a sub-region of the examination region, wherein each image element is assigned at least one color value;
- determining a measure of dispersion of the color values of corresponding image elements of the generated synthetic images (S1, S2, S3), wherein mutually corresponding image elements represent the same sub-region of the examination region;
- determining at least one confidence value on the basis of the determined measure of dispersion;
- and
- outputting the at least one confidence value or an item of information based on the at least one confidence value.
4 more elements
A computer system comprising:
- a receiving unit;
- a control and calculation unit;
- and
- an output unit;
- wherein the control and calculation unit is configured to:
- cause the receiving unit to receive at least one image (I1, I2) of an examination region of an examination object, wherein the at least one image (I1, I2) comprises a plurality of image elements, wherein each image element of the plurality of image elements represents a sub-region of the examination region;
- generate a plurality of different modifications (M11, M12, M13, M21, M22, M23) of the received image (I1, I2);
- generate a plurality of synthetic images (S1, S2, S3) of the examination region of the examination object on the basis of the modifications (M11, M12, M13, M21, M22, M23) by means of a generative model (GM), wherein each synthetic image (S1, S2, S3) comprises a plurality of image elements, wherein each image element of the plurality of image elements represents a sub-region of the examination region, wherein each image element is assigned at least one color value;
- determine at least one confidence value on the basis of the color values of mutually corresponding image elements of the modifications (M11, M12, M13, M21, M22, M23), wherein the mutually corresponding image elements represent the same sub-region of the examination region;
- and
- cause the output unit to output the at least one confidence value or an item of information based on the at least one confidence value.
8 more elements
A computer-readable storage medium comprising a computer program which, when loaded into a working memory of a computer system, causes the computer system to execute:
- receiving at least one image (I1, I2) of an examination region of an examination object, wherein the at least one image (I1, I2) comprises a plurality of image elements, wherein each image element of the plurality of image elements represents a sub-region of the examination region;
- generating a plurality of different modifications (M11, M12, M13, M21, M22, M23) of the at least one received image (I1, I2);
- generating a plurality of synthetic images (S1, S2, S3) of the examination region of the examination object on the basis of the modifications (M11, M12, M13, M21, M22, M23) by means of a generative model (GM), wherein each synthetic image (S1, S2, S3) comprises a plurality of image elements, wherein each image element of the plurality of image elements represents a sub-region of the examination region, wherein each image element is assigned at least one color value;
- determining a measure of dispersion of the color values of corresponding image elements of the generated synthetic images (S1, S2, S3), wherein mutually corresponding image elements represent the same sub-region of the examination region;
- determining at least one confidence value on the basis of the determined measure of dispersion;
- and
- outputting the at least one confidence value or an item of information based on the at least one confidence value.
4 more elements
Dependencies are inferred from the claim text.