Tomographic reconstruction of small objects using a priori knowledge
First Claim
1. A method for tomographic three-dimensional (3D) reconstruction of a sample including at least one object of interest, the method comprising the steps of:
- (a) obtaining a current set of projection images from a projection system;
(b) adjusting the current set of projection images of the sample according to a priori knowledge to produce adjusted projection images;
(c) using a reconstruction algorithm on the adjusted projection images to generate a 3D image;
(d) further adjusting the 3D image according to the a priori knowledge to generate an adjusted 3D image;
(e) applying criteria for process completion to determine whether the adjusted 3D image is adequate; and
(f) if the adjusted 3D image is not adequate, then computationally creating a set of pseudo projections at the same projection angles as the current set of projection images and comparing the current set of projection images with the pseudo projection images to produce a set of new projections, wherein the new projections are input again at step (a) as a current set of projection images and steps (a) through (e) are repeated until the adequacy criteria are met.
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Abstract
Three-dimensional (3D) reconstruction of a cell includes adjusting a current set of projection images according to a priori knowledge to produce adjusted projection images, for example, based on probability masks and/or Bayesian analysis of multiple similar objects in the same sample. A reconstruction algorithm processes the adjusted projection images to generate a 3D image. The 3D image is further adjusted according to the a priori knowledge to generate an adjusted 3D image. Criteria for process completion are applied to determine whether the adjusted 3D image is adequate. Otherwise, a set of pseudo projections are computationally created at the same projection angles as the current set of projection images and then compared to the current set of projection images to produce a set of new projections, wherein the new projections are input again to the reconstruction algorithm and the steps of the method are repeated until the adequacy criteria are met.
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Citations
22 Claims
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1. A method for tomographic three-dimensional (3D) reconstruction of a sample including at least one object of interest, the method comprising the steps of:
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(a) obtaining a current set of projection images from a projection system;
(b) adjusting the current set of projection images of the sample according to a priori knowledge to produce adjusted projection images;
(c) using a reconstruction algorithm on the adjusted projection images to generate a 3D image;
(d) further adjusting the 3D image according to the a priori knowledge to generate an adjusted 3D image;
(e) applying criteria for process completion to determine whether the adjusted 3D image is adequate; and
(f) if the adjusted 3D image is not adequate, then computationally creating a set of pseudo projections at the same projection angles as the current set of projection images and comparing the current set of projection images with the pseudo projection images to produce a set of new projections, wherein the new projections are input again at step (a) as a current set of projection images and steps (a) through (e) are repeated until the adequacy criteria are met. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for tomographic three-dimensional (3D) reconstruction of an object of interest in a sample, comprising:
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(a) a projection system for generating a current set of projection images from the sample;
(b) means, coupled to receive the current set of projection images, for adjusting the current set of projection images of the sample according to a priori knowledge to produce adjusted projection images;
(c) means, coupled to receive the adjusted projection images, for using a reconstruction algorithm on the adjusted projection images to generate a 3D image;
(d) means, coupled to receive the 3D image, for further adjusting the 3D image according to the a priori knowledge to generate an adjusted 3D image;
(e) means, coupled to receive the adjusted 3D image, for applying criteria for process completion to determine whether the adjusted 3D image is adequate; and
(f) means, coupled to receive the adjusted 3D image if not adequate, for otherwise computationally creating a set of pseudo projections at the same projection angles as the current set of projection images and comparing the current set of projection images with the pseudo projection images to generate a set of new projections, wherein the new projections are input again to the means for adjusting a current set of projection images as a current set of projection images. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A method for tomographic three-dimensional (3D) reconstruction from a set of projection images from a sample processed in a projection system including at least one cell, comprising the steps of:
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(a) adjusting a current set of projection images of the sample according to a first set of a priori knowledge to produce adjusted projection images, based on Bayesian analysis of multiple similar objects in the sample;
(b) using a reconstruction algorithm on the adjusted projection images to generate a 3D image based on Bayesian analysis of multiple similar objects in the sample;
(c) further adjusting the 3D image according to a second set of a priori knowledge to generate an adjusted 3D image based on Bayesian analysis of multiple similar objects in the sample;
(d) applying criteria for process completion to determine whether the adjusted 3D image is adequate; and
(e) if the adjusted 3D image is not adequate, then computationally creating a set of pseudo projections at the same projection angles as the current set of projection images and comparing the current set of projection images with the pseudo projection images to produce a set of new projections, wherein the new projections are input again to the reconstruction algorithm at step (a) as a current set of projection images and steps (a) through (e) are repeated until the adequacy criteria are met. - View Dependent Claims (22)
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Specification