Method for generating a virtual mask image and angiography apparatus
The disclosure provides solutions for reducing exposure to radiation in digital subtraction angiography. For this, a method for generating a virtual mask image is proposed. A plurality of images of an object is captured by an angiography apparatus. For at least some of all pixel positions, an extreme pixel value of the pixels of the plurality of images in the respective pixel position is respectively ascertained. The virtual mask image is created from the extreme pixel values at the respective pixel positions.
1 . An angiography apparatus for generating a virtual mask image for digital subtraction angiography, the angiography apparatus comprising:
a capture facility configured to capture a plurality of images of an object; and
a processing facility that, for at least some pixel positions of all pixel positions of the plurality of images, is configured to:
ascertain an extreme pixel value of pixels of the plurality of images in a respective pixel position; and
create the virtual mask image from the extreme pixel values at the respective pixel positions.
2 . A non-transitory computer-readable storage medium, comprising a computer program having commands, which, when the commands are executed by a computer, cause the computer to:
capture a plurality of images of an object by an angiography apparatus;
ascertain, for at least some pixel positions within the plurality of images, an extreme pixel value of pixels of the plurality of images in a respective pixel position; and
create a virtual mask image from the extreme pixel values at the respective pixel positions.
3 . A method for generating a virtual mask image for digital subtraction angiography, the method comprising:
capturing a plurality of images of an object by an angiography apparatus;
ascertaining, for at least some pixel positions within the plurality of images, an extreme pixel value of pixels of the plurality of images in a respective pixel position; and
creating the virtual mask image from the extreme pixel values at the respective pixel positions.
4 . The method of claim 3 , wherein each image of the plurality of images is a fill image.
5 . The method of claim 4 , further comprising:
obtaining a noise-reduced virtual mask image, wherein at least two images of the plurality of images including the virtual mask image are added together so as to be weighted pixel-wise.
6 . The method of claim 5 , further comprising:
obtaining weights for a summation of the at least two images as a function of a similarity of a respective pixel value to a corresponding pixel value of the virtual mask image.
7 . The method of claim 6 , further comprising:
obtaining a static vessel image by:
obtaining a plurality of subtraction images from the plurality of images by subtracting the virtual mask image respectively; and
conducting a weighted summation of respective pixel values of all subtraction images for the at least some pixel positions within the plurality of images.
8 . The method of claim 7 , wherein weights for the weighted summation are selected such that pixel values with a higher signal value are weighted higher than pixel values with a lower signal value.
9 . The method of claim 6 , further comprising:
generating an angiographic image sequence for a representation over time of a contrast agent filling in a vessel structure by subtracting the virtual mask image from each image of the plurality of images.
10 . The method of claim 3 , further comprising:
obtaining a noise-reduced virtual mask image, wherein at least two images of the plurality of images including the virtual mask image are added together so as to be weighted pixel-wise.
11 . The method of claim 10 , further comprising:
obtaining weights for a summation of the at least two images as a function of a similarity of a respective pixel value to a corresponding pixel value of the virtual mask image.
12 . The method of claim 3 , wherein a temporal maximum value per pixel is ascertained as the extreme pixel value.
13 . The method of claim 3 , further comprising:
obtaining a static vessel image by:
obtaining a plurality of subtraction images from the plurality of images by subtracting the virtual mask image respectively; and
conducting a weighted summation of respective pixel values of all subtraction images for the at least some pixel positions within the plurality of images.
14 . The method of claim 13 , wherein weights for the weighted summation are selected such that pixel values with a higher signal value are weighted higher than pixel values with a lower signal value.
15 . The method of claim 3 , further comprising:
generating an angiographic image sequence for a representation over time of a contrast agent filling in a vessel structure by subtracting the virtual mask image from each image of the plurality of images.
16 . The method of claim 3 , wherein the extreme pixel value is a maximum pixel intensity or a minimum pixel intensity for the respective pixel position of the at least some pixel positions within the plurality of images.
17 . The method of claim 16 , wherein the extreme pixel value is the maximum pixel intensity with iodine as a contrast agent.
18 . The method of claim 16 , wherein the extreme pixel value is the minimum pixel intensity with carbon dioxide as a contrast agent.