CPC A61B 5/004 (2013.01) [A61B 5/0035 (2013.01); A61B 5/0037 (2013.01); G06T 7/30 (2017.01); G06T 7/33 (2017.01); G06T 7/337 (2017.01); G06T 3/0068 (2013.01); G06T 3/0093 (2013.01); G06T 7/0016 (2013.01); G06T 2207/30004 (2013.01)] | 7 Claims |
1. A method for medical image fusion by a medical imaging system, the method comprising:
acquiring first and second sets of scan data representing a patient with anatomy represented by the first set of scan data deformed relative to anatomy represented by the second set of scan data;
determining a deformation field aligning the anatomy of the first and second sets of scan data with a machine-learnt deep neural network, the machine-learnt deep neural network outputting the deformation field; and
generating a medical image from the first and second sets of scan data and the deformation field.
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