Method, a System and a Computer Program for Volumetric Registration
First Claim
1. A method for volumetric registration of a floating image (F) with a reference image (R), comprising the steps of:
- accessing the floating image (F) and the reference image (R);
selecting a parameterized geometric transformation function (T(p1 . . . pn)) for spatially warping the floating image (F);
selecting a similarity function (S) for quantitatively estimating a similarity between a warped floating image (F′
) and the reference image (R);
selecting a restricted parameter set for the parameterized geometric transformation function (T(q1 . . . qm with m<
n)) based on an a-priori knowledge;
spatially warping the floating image using the parameterized geometric transformation function (T(q1 . . . qm)) with restricted parameter set (q1 . . . qm) yielding a warped floating image (F′
);
optimizing the restricted parameter set (q1 . . . qm) for locating an optimum of the similarity function (S).
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Accused Products
Abstract
The invention relates to a method for volumetric registration of a floating image with a reference image. At step 2′ a floating image and a reference image are accessed. At step 4 and at step 6 a transformation function T and a similarity function (S) are accessed. The method according to the invention uses a-priori knowledge, notably a restricted parameter set, which is accessed at step 3. Preferably, the restricted parameter set is obtained by performing a suitable volumetric registration of a set of training images. The training set preferably comprises a sequence of floating images and reference images for each clinical application. Likewise, the training set may be composed of images of a patient group representing a certain group of disease, age, gender, race, etc. The invention further relates to a system and a computer program for enabling volumetric registration.
12 Citations
15 Claims
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1. A method for volumetric registration of a floating image (F) with a reference image (R), comprising the steps of:
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accessing the floating image (F) and the reference image (R); selecting a parameterized geometric transformation function (T(p1 . . . pn)) for spatially warping the floating image (F); selecting a similarity function (S) for quantitatively estimating a similarity between a warped floating image (F′
) and the reference image (R);selecting a restricted parameter set for the parameterized geometric transformation function (T(q1 . . . qm with m<
n)) based on an a-priori knowledge;spatially warping the floating image using the parameterized geometric transformation function (T(q1 . . . qm)) with restricted parameter set (q1 . . . qm) yielding a warped floating image (F′
);optimizing the restricted parameter set (q1 . . . qm) for locating an optimum of the similarity function (S). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for volumetric registration of a floating image (F) with a reference image (R), said system comprising:
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an input for; accessing the floating image (F) and the reference image (R); selecting a parameterized geometric transformation function (T(p1 . . . pn)) for spatially warping the floating image (F); selecting a similarity function (S) for quantitatively estimating a similarity between a warped floating image (F′
) and the reference image (R);selecting a restricted parameter set for the parameterized geometric transformation function (T(q1 . . . qm with m<
n)) based on an a-priori knowledge;processing means for; spatially warping the floating image using the parameterized geometric transformation function (T(q1 . . . qm)) with restricted parameter set (q1 . . . qm) yielding a warped floating image (F′
);optimizing the restricted parameter set (q1 . . . qm) for locating an optimum of the similarity function (S). - View Dependent Claims (11)
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12. A computer program for volumetric registration of a floating image (F) with a reference image (R) comprising instructions for causing a processor to carry out the following steps:
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accessing the floating image (F) and the reference image (R); selecting a parameterized geometric transformation function (T(p1 . . . pn)) for spatially warping the floating image (F); selecting a similarity function (S) for quantitatively estimating a similarity between a warped floating image (F′
) and the reference image (R);selecting a restricted parameter set for the parameterized geometric transformation function (T(q1 . . . qm with m<
n)) based on an a-priori knowledge;spatially warping the floating image using the parameterized geometric transformation function (T(q1 . . . qm)) with restricted parameter set (q1 . . . qm) yielding a warped floating image (F′
);optimizing the restricted parameter set (q1 . . . qm) for locating an optimum of the similarity function (S). - View Dependent Claims (13, 14, 15)
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Specification