SPECT Reconstruction Support Region for Computational Efficiency
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Solution Overview
Problem
Iterative tomographic reconstruction techniques in nuclear medicine, such as SPECT, are computationally inefficient due to the need to model the entire field of view, including irrelevant regions, which wastes resources and time.
Innovation Solution
The method involves creating a reconstruction support region specific to the object of interest by using projection image data, detector orbit information, and attenuation maps to limit the reconstruction to only the relevant area, reducing the number of voxels and computational resources required, and modifying the system matrix with view-specific attenuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If iterative reconstruction techniques model the entire field of view to improve image quality, then reconstruction accuracy is improved, but computational time and memory requirements increase significantly
Solution Approach 1:
The field of view is segmented into a reconstruction support region (containing the object of interest) and a background region. The system matrix is constructed only for voxels within the reconstruction support region, dividing the computational domain to reduce the number of voxels requiring reconstruction while maintaining image quality in the region of interest.
Solution Approach 2:
The background region is extracted and excluded from the reconstruction process. By identifying and removing irrelevant background voxels from the field of view, the patent reduces computational resources required without affecting the quality of reconstructed images in the object-containing region.
2Measurement precision
If iterative reconstruction techniques model the entire field of view to improve image quality, then reconstruction accuracy is improved, but memory requirements increase significantly
Solution Approach 1:
The field of view is segmented into a reconstruction support region and background region. The system matrix is constructed only for voxels within the reconstruction support region, dividing the computational domain to reduce the number of voxels requiring reconstruction and thereby reducing memory requirements.
Solution Approach 2:
Background voxels are extracted and excluded from the reconstruction process. By removing irrelevant background regions from the field of view, the patent reduces the quantity of data that must be stored in memory, directly reducing memory resource requirements while preserving reconstruction accuracy in the object region.
3Measurement precision
If the system matrix is constructed for all voxels in the field of view to improve reconstruction accuracy, then image quality is improved, but computational complexity increases
Solution Approach 1:
The computational domain is segmented by identifying a reconstruction support region that contains only the object of interest. The system matrix construction is restricted to this segmented region, reducing computational complexity while maintaining image quality where it matters most.
Solution Approach 2:
The patent applies local quality by ensuring high reconstruction accuracy only in the region containing the object of interest rather than uniformly across the entire field of view. The reconstruction support region is defined to encompass the object with appropriate margins, allocating computational resources locally where they are most needed.
Data Source
AI summary
A method for iterative reconstruction of tomographic images of an object of interest includes obtaining data corresponding to a field of view of a detector, processing the data to prepare a reconstruction support region corresponding to a region within the field of view encompassing the object, and reconstructing a tomographic image using the reconstruction support region. Preferably, the data corresponding to the field of view includes at least one of a projection image of the object, an orbit location of a detector relative to a center of rotation of the detector, or an attenuation coefficient map of the object, which data can be used to describe a reconstruction support region corresponding to the object.