Image fusion for radiation therapy
First Claim
Patent Images
1. An image fusion method for medical applications, comprising:
- a. acquiring a first image with a planned radiation region;
b. acquiring a second image with an actual radiation region;
c. determining, by an image processor, if user defined landmarks have been placed on said first and second images, if user defined landmarks are present go to step (d), if not go to step (e);
d. pre-transforming said first image or second image or both images;
e. performing a first delineation step on said actual radiation region using active contour model with adaptive weighting on said second region;
f. determining if said delineation is correct, if yes go to step (g), if not go to step (h);
g. fusing said first and second image and exit process, wherein fusing comprises the step of forming a mask that encloses said second region using said region contour vector with distinct values inside and outside of said mask, the mask tagging pixels in the radiation and non-radiation regions differently;
h. selecting multiple contour points around said actual radiation region in said second image; and
i. performing a second delineation step on said actual radiation region and go to step (f).
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Abstract
An image fusion method for medical applications, comprising:
- a. acquiring a first image with a planned radiation region;
- b. acquiring a second image with actual radiation region;
- c. determining if user defined landmarks have been placed on the first and second images, if user defined landmarks are present go to step (d), if not go to step (e);
- d. pre-transforming the first image or second image or both images;
- e. performing a first delineation step on the actual radiation region;
- f. determining if the delineation is correct, if yes go to step (g), if not go to step (h);
- g. fusing the first and second image and exit process; and
- h. selecting multiple contour points around the actual radiation region in the second image;
- i. performing a second delineation step on the actual radiation region and go to step (f).
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Citations
11 Claims
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1. An image fusion method for medical applications, comprising:
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a. acquiring a first image with a planned radiation region; b. acquiring a second image with an actual radiation region; c. determining, by an image processor, if user defined landmarks have been placed on said first and second images, if user defined landmarks are present go to step (d), if not go to step (e); d. pre-transforming said first image or second image or both images; e. performing a first delineation step on said actual radiation region using active contour model with adaptive weighting on said second region; f. determining if said delineation is correct, if yes go to step (g), if not go to step (h); g. fusing said first and second image and exit process, wherein fusing comprises the step of forming a mask that encloses said second region using said region contour vector with distinct values inside and outside of said mask, the mask tagging pixels in the radiation and non-radiation regions differently; h. selecting multiple contour points around said actual radiation region in said second image; and i. performing a second delineation step on said actual radiation region and go to step (f). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An image fusion method for medical applications, comprising:
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a. acquiring a first image with a planned radiation region; b. acquiring a second image with an actual radiation region; c. automatically delineating said actual radiation region using active contour model with adaptive weighting on said second region; d. determining, by an image processor, if said automatic delineation is correct, if yes go to step (e), if not go to step (f); e. fusing said first and second image and exit process, wherein fusing comprises the steps of; (i) forming a mask that encloses said second region using said region contour vector with distinct values inside and outside of said mask, whereby the mask tags pixels in the radiation and non-radiation regions differently; (ii) defining a mask feature point; (iv) defining a feature point for said first region in said first image; and (v) searching maximum similarity of said first and second images in multi-resolution, multi-dimensional spaces using information extracted from the inside or outside or both of said mask region; f. selecting multiple contour points around said actual radiation region in said second image; g. semi automatically delineating said actual radiation region; and h. determining if said semi automatic delineation is correct if yes go to step (e), if not go to step (f).
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10. An image fusion method, using user defined landmarks for medical applications, comprising:
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a. acquiring a first image with a planned radiation region; b. acquiring a second image with an actual radiation region; c. pre-transforming said first image or second image or both images using user defined landmarks; d. automatically delineating said actual radiation region using active contour model with adaptive weighting on said second region; e. determining, by an image processor, if said automatic delineation is correct, if yes go to step (f), if not go to step (g); f. fusing said first and second image and exit process, wherein fusing comprises the steps of; (i) forming a mask that encloses said second region using said region contour vector with distinct values inside and outside of said mask, whereby the mask tags pixels in the radiation and non-radiation regions differently; (ii) defining a mask feature point; (iv) defining a feature point for said first region in said first image; and (v) searching maximum similarity of said first and second images in multi-resolution, multi-dimensional spaces using information extracted from the inside or outside or both of said mask region; g. selecting multiple contour points around said actual radiation region in said second image; h. semi automatically delineating said actual radiation region; and i. determining if said semi automatic delineation is correct if yes go to step (f), if not go to step (g).
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11. An image fusion method for medical applications, comprising:
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a. acquiring a first image with a first region; b. acquiring a second image with a second region; c. determining if user defined landmarks have been placed on said first and second images, if user defined landmarks are present go to step (d), if not go to step (e); d. pre-transforming geometrically said first image or second image or both images; e. performing a first delineation step using active contour model with adaptive weighting on said second region; f. determining, by an image processor, if said delineation is correct, if yes go to step (g), if not go to step (h); g. fusing said first and second image using information extracted from inside or outside or both of said second region in said second image and information extracted accordingly in said first image and exit process; h. selecting multiple contour points around said second region in said second image; and i. performing a second delineation step using interactive segmentation with adaptive banding on said second region with said multiple contour points and go to step (f).
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Specification