A medical imaging device for generating fusion images of an object comprising: - a lower resolution image scanning unit for acquiring lower resolution images (32, 32a, 32b, 32c) of the object with specific image scanning geometries, - a memory for storing higher resolution reference images of the object, and - an image processing unit for generating fusion images of the object, wherein the image processing unit comprises: - an image scanning geometry determination unit configured to determine, only from a respective lower resolution image (32, 32a, 32b, 32c), the specific image scanning geometry used for acquiring the respective lower resolution image (32, 32a, 32b, 32c) based on a machine learning algorithm that uses at least one feature in at least one region of interest (34, 36, 38, 42, 44) in the respective lower resolution image (32, 32a, 32b, 32c) as input, - an oblique higher resolution image generation unit configured to generate image scanning geometry matching oblique higher resolution images based on the higher resolution reference images and the determined specific image scanning geometries used for acquiring the respective lower resolution images (32, 32a, 32b, 32c), - an image registration unit configured to generate registered higher resolution images by registering the oblique higher resolution images with the lower resolution images (32, 32a, 32b, 32c), - a feature information extraction unit configured to extract current feature information from the lower resolution images (32, 32a, 32b, 32c), and - an image fusion unit configured to map the current feature information on corresponding feature information in the registered higher resolution images in order to generate fusion images. - a lower resolution image scanning unit for acquiring lower resolution images (32, 32a, 32b, 32c) of the object with specific image scanning geometries, - a memory for storing higher resolution reference images of the object, and - an image processing unit for generating fusion images of the object, wherein the image processing unit comprises: - an image scanning geometry determination unit configured to determine, only from a respective lower resolution image (32, 32a, 32b, 32c), the specific image scanning geometry used for acquiring the respective lower resolution image (32, 32a, 32b, 32c) based on a machine learning algorithm that uses at least one feature in at least one region of interest (34, 36, 38, 42, 44) in the respective lower resolution image (32, 32a, 32b, 32c) as input, - an oblique higher resolution image generation unit configured to generate image scanning geometry matching oblique higher resolution images based on the higher resolution reference images and the determined specific image scanning geometries used for acquiring the respective lower resolution images (32, 32a, 32b, 32c), - an image registration unit configured to generate registered higher resolution images by registering the oblique higher resolution images with the lower resolution images (32, 32a, 32b, 32c), - a feature information extraction unit configured to extract current feature information from the lower resolution images (32, 32a, 32b, 32c), and - an image fusion unit configured to map the current feature information on corresponding feature information in the registered higher resolution images in order to generate fusion images. - an oblique higher resolution image generation unit configured to generate image scanning geometry matching oblique higher resolution images based on the higher resolution reference images and the determined specific image scanning geometries used for acquiring the respective lower resolution images (32, 32a, 32b, 32c), - an image registration unit configured to generate registered higher resolution images by registering the oblique higher resolution images with the lower resolution images (32, 32a, 32b, 32c), - a feature information extraction unit configured to extract current feature information from the lower resolution images (32, 32a, 32b, 32c), and - an image fusion unit configured to map the current feature information on corresponding feature information in the registered higher resolution images in order to generate fusion images.