Gamma Camera Image Reconstruction via Primordial Entropy Deconvolution
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Solution Overview
Problem
Current medical imaging technologies face challenges in accurately reconstructing digital images due to hardware limitations, particularly in nuclear medicine diagnostic gamma ray imaging, where collimation leads to blurring and reduced spatial resolution, affecting the accuracy of quantitative digital signals.
Innovation Solution
A method involving the use of primordial entropy-based image reconstruction, which processes digitized images by selecting appropriate Lagrange multipliers and statistical measures to iteratively correct for point spread functions and noise, optimizing the cumulated probability of data reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If collimation is applied in gamma ray imaging to form orthogonal planar images, then spatial resolution is improved, but sensitivity is reduced due to thicker septa attenuating gamma rays
Solution Approach 1:
The patent replaces the mechanical collimation system with a mathematical deconvolution process. Instead of using physical collimators to define the field of view, the invention uses computational methods to reconstruct the original image from the blurred projected data, thereby eliminating the trade-off between spatial resolution and sensitivity inherent in mechanical collimation.
Solution Approach 2:
The patent introduces a mathematical transformation process as an intermediary between the raw projected data and the final image. This intermediary deconvolution process acts as a bridge that recovers the original image information without requiring physical collimation, thus avoiding the sensitivity loss associated with thick septa.
2Quantity of substance
If collimation with thinner septa is used to improve sensitivity, then more gamma rays are detected, but spatial resolution deteriorates due to increased blur
Solution Approach 1:
The patent replaces the mechanical collimation system with a mathematical deconvolution process. Instead of using physical collimators to define the field of view, the invention uses computational methods to reconstruct the original image from the blurred projected data, thereby eliminating the trade-off between spatial resolution and sensitivity inherent in mechanical collimation.
Solution Approach 2:
The patent changes the fundamental parameter from physical collimator geometry to mathematical transformation parameters. By using deconvolution algorithms with adjustable parameters, the system can achieve high spatial resolution without being constrained by the physical limitations of collimator septal thickness.
3Ease of manufacture
If conventional image reconstruction methods are used, then processing is simpler, but accuracy at low count densities is reduced due to need for statistical marginalization and regularization
Solution Approach 1:
The patent extracts and removes the need for statistical marginalization and regularization steps from the reconstruction process. By directly deconvolving the projected data using the known point spread function, the method eliminates these additional processing requirements while improving accuracy at low count densities.
Data Source
AI summary
According to a first aspect of the invention there is provided a system of and method for processing a digitized image derived from detector instrumentation (11) to form a reconstructed image. In a typical image processing system (9), γ-rays (10) impinge upon a gamma camera unit (11), defining detector instrumentation, and then pass through a lead collimator (12) to cause a scintillator (14) to emit light in the visible electromagnetic spectrum at given locations above an array of analogue photomultiplier tubes (16). With appropriate circuitry (18) these analogue signals may then be digitized, by means of processor (20), and then stored in memory (22). The present invention aims to more accurately reconstruct these digital images, with, in broad terms, the raw data stored in memory (22) being sent to a processor (24), which processes the data in terms of algorithms that form part of the invention. According to a further aspect of the invention there is provided a method of processing a digitized phantom image derived from detector instrumentation to form a reconstructed point spread function image.