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Tomographic reconstruction of small objects using a priori knowledge

A technology of prior knowledge and knowledge, applied in echo tomography, 2D image generation, computed tomography, etc., can solve problems such as deficiencies

Inactive Publication Date: 2007-05-23
VISIONGATE
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

In the field of tomography, especially in the field of optical tomography, known reconstruction algorithms are quite inadequate in using prior knowledge to enhance object reconstruction

Method used

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  • Tomographic reconstruction of small objects using a priori knowledge
  • Tomographic reconstruction of small objects using a priori knowledge
  • Tomographic reconstruction of small objects using a priori knowledge

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Embodiment Construction

[0008] The present invention describes the benefits of using prior knowledge about objects of interest for image reconstruction using computed tomography. In most cases there is certain information about the observed object which can be used in the image reconstruction process in order to calculate a more accurate or more realistic 3D reconstruction. This prior knowledge is used to constrain the reconstruction within the range of allowed features (ie, what "may be") and disallowed features (ie, what "can't"). In interfering images, knowing the set of inadmissible features (ie what "can't") can significantly improve the accuracy of the computed image reconstruction and, as an additional consequence, its speed and efficiency. An example used to illustrate principles of image reconstruction using prior knowledge is biological cells, but those skilled in the art will appreciate that these principles can generally be applied to any object for image reconstruction, where object shap...

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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.

Description

technical field [0001] The present invention relates generally to three-dimensional (3D) imaging systems, and more particularly to three-dimensional (3D) imaging systems that use prior knowledge about an object of interest that is imaged using computed tomography Image reconstruction. Background technique [0002] Image reconstruction algorithms used today calculate the general three-dimensional (3D) structure of an object from a one-dimensional or two-dimensional projection of the object rather than using additional information about the object. In the field of tomography, especially in the field of optical tomography, known reconstruction algorithms are quite inadequate in terms of using prior knowledge to enhance object reconstruction. Contents of the invention [0003] In one embodiment, the present invention provides a method for three-dimensional (3D) reconstruction of an object of interest, such as a cell, and the method comprises a simple probability mask based on...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B6/03G06K9/00G06T15/00G06T11/00
CPCG06T11/006G06T2211/424
Inventor A·C·尼尔森
Owner VISIONGATE