Image processing device, image processing method, image processing program, learning device, learning method, learning program, and derivation model
AssigneeFUJIFILM Corporation
InventorAtsushi Tachibana
Life of this patent
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Abstract
An image acquisition unit acquires at least one target medical image having a representation format different from an MRI image. A tissue eigenvalue derivation unit has a derivation model constructed by machine learning using a plurality of teacher data to, in a case in which at least one medical image having the representation format different from the MRI image is input, output a tissue eigenvalue of MRI for the input medical image, and inputs the target medical image to the derivation model to derive the tissue eigenvalue for the target medical image.
Claims14
An image processing device comprising at least one processor, wherein the processor is configured to:
- acquire at least one target medical image having a representation format different from an MRI image;
- and
- input the target medical image to a derivation model to derive the tissue eigenvalue for the target medical image, wherein the derivation model being constructed by machine learning using a plurality of teacher data to, in a case in which at least one medical image having the representation format different from the MRI image is input, output a plurality of tissue eigenvalues of MRI for the input medical image, wherein the plurality of tissue eigenvalues represents different representation formats of MRI;
- and
- generate a derived MRI image based on the tissue eigenvalue of MRI derived by the derivation model through the target medical image having the representation format different from the MRI image.
A learning device comprising:
- at least one processor, wherein the processor is configured to construct a derivation model by performing machine learning using a plurality of teacher data to, in a case in which at least one medical image having a representation format different from an MRI image is input, output a plurality of tissue eigenvalues of MRI for the medical image, wherein the plurality of tissue eigenvalues represent different representation formats of MRI.
An image processing method comprising:
- acquiring at least one target medical image having a representation format different from an MRI image;
- and
- inputting the target medical image to a derivation model to derive the tissue eigenvalue for the target medical image, wherein the derivation model being constructed by machine learning using a plurality of teacher data to, in a case in which at least one medical image having the representation format different from the MRI image is input, output a plurality of tissue eigenvalues of MRI for the input medical image, wherein the plurality of tissue eigenvalues represents different representation formats of MRI;
- and
- generating a derived MRI image based on the tissue eigenvalue of MRI derived by the derivation model through the target medical image having the representation format different from the MRI image.
A learning method comprising:
- constructing a derivation model by performing machine learning using a plurality of teacher data to, in a case in which at least one medical image having a representation format different from an MRI image is input, output a plurality of tissue eigenvalues of MRI for the medical image, wherein the plurality of tissue eigenvalues represent different representation formats of MRI.
A non-transitory computer-readable storage medium that stores an image processing program causing a computer to execute:
- a procedure of acquiring at least one target medical image having a representation format different from an MRI image;
- and
- a procedure of inputting the target medical image to a derivation model to derive the tissue eigenvalue for the target medical image, wherein the derivation model being constructed by machine learning using a plurality of teacher data to, in a case in which at least one medical image having the representation format different from the MRI image is input, output plurality of tissue eigenvalues of MRI for the input medical image, wherein the plurality of tissue eigenvalues represents different representation formats of MRI;
- and
- a procedure of generating a derived MRI image based on the tissue eigenvalue of MRI derived by the derivation model through the target medical image having the representation format different from the MRI image.
A non-transitory computer-readable storage medium that stores a learning program causing a computer to execute:
- a procedure of constructing a derivation model by performing machine learning using a plurality of teacher data to, in a case in which at least one medical image having a representation format different from an MRI image is input, output a plurality of tissue eigenvalues of MRI for the medical image, wherein the plurality of tissue eigenvalues represent different representation formats of MRI.
Dependencies are inferred from the claim text.