Tomographic Image Reconstruction Positional Error Correction
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Solution Overview
Problem
Tomographic imaging techniques suffer from positioning errors during data acquisition, leading to blurring and resolution loss in reconstructed images due to distorted sampling loci, resulting in phenomena like double edging and streaking.
Innovation Solution
A method that involves acquiring input images at distorted source positions, constructing an initial tomographic image, dissociating it into reference images, calculating transformations to map the images onto an ideal locus, and using these transformations to construct a modified tomographic image that corrects for positioning errors, thereby improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tomographic imaging is performed with conventional positioning methods, then data acquisition is achieved, but positioning errors cause blurring and resolution loss in reconstructed images
Solution Approach 1:
The patent applies preliminary action by performing a calibration scan before the actual tomographic imaging to establish a reference model of the ideal sampling locus. This reference model is then used during image reconstruction to correct positioning errors, thereby improving image resolution without requiring perfect positioning accuracy during data acquisition.
Solution Approach 2:
The patent implements feedback by using the calibration data to generate correction information that is fed back into the image reconstruction process. The actual sampling positions are compared with the ideal positions from the calibration scan, and the differences are used to adjust the reconstruction algorithm, thereby compensating for positioning errors.
2Measurement precision
If positioning errors are corrected through complex computational methods, then image quality improves, but computational overhead increases
Solution Approach 1:
The patent performs the computationally intensive calibration scan and reference model generation before the actual imaging process. By pre-computing the ideal sampling locus and positioning error characteristics, the patent reduces the computational burden during image reconstruction, as the correction can be applied more efficiently using the pre-established reference model.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly enhances the quality of tomographic reconstructions by reducing computational overhead and eliminating artifacts, resulting in sharper and more accurate images, as demonstrated by comparisons before and after applying the corrective method.
Implementation Method 1
In order to achieve sufficient sample penetration, the employed radiation will generally comprise X-rays
Implementation Method 2
A detector, for detecting a flux of radiation transmitted through the specimen from the source
Implementation Method 3
the CPM's charged-particle beam is used to irradiate a metal target, causing production of the Bremsstrahlung X-rays used to perform the desired tomography
Data Source
AI summary
A method for investigating a specimen using a tomographic imaging apparatus, comprising acquiring a set of input images of the specimen taken at a corresponding set of source positions that are intended to lie on an ideal locus but are instead caused by positioning errors to lie on a distorted locus, using the images to construct an initial tomographic image, dissociating the initial tomographic image into a set of reference images referenced to said ideal locus, comparing the given input images to the corresponding reference images, calculating a set of transformations necessary to map the input images onto the reference images, and using the set of transformations to construct a modified tomographic image.