Dynamic Acquisition Time Management for Multi-Modality Image Reconstruction
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Solution Overview
Problem
Current emission computed tomography (ECT) systems, such as PET and SPECT, face challenges in accurately reconstructing images in real-time during scans, especially when combined with other modalities like MRI, due to inconsistencies in acquisition time periods, leading to inaccurate registration and fusion of images.
Innovation Solution
A system and method that include processors to obtain and manage acquisition time periods for different modalities, generating target images by adjusting reconstruction parameters in real-time, allowing for dynamic reconstruction and accurate fusion of images during the scan, using a time obtaining module to determine consistent acquisition time periods and a reconstruction module to generate images based on target data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image reconstruction is performed using traditional methods with fixed acquisition time periods, then the reconstruction process is simple, but the image registration and fusion accuracy deteriorates due to inconsistencies between different modalities
Solution Approach 1:
The patent applies dynamics by making the acquisition time periods adjustable and adaptable rather than fixed. The system dynamically determines acquisition time periods for different modalities (PET, SPECT, MRI) to ensure they are consistent with each other, allowing the reconstruction process to adapt to different scanning conditions and improve registration accuracy without requiring overly complex predetermined configurations
Solution Approach 2:
The patent changes the parameter of acquisition time period to resolve the contradiction. By adjusting and optimizing the acquisition time periods for different modalities to be consistent, the system improves image registration accuracy while maintaining manageable system complexity through parameter optimization rather than structural complexity
2Productivity
If real-time image reconstruction is implemented during scans, then clinical efficiency is improved, but the complexity of managing multiple acquisition time periods increases
Solution Approach 1:
The patent applies self-service by enabling the system to automatically determine and manage acquisition time periods for multiple modalities without requiring manual intervention. The reconstruction system autonomously handles the complexity of time period coordination, allowing real-time reconstruction during scans to proceed efficiently while the system self-manages the temporal synchronization of different imaging modalities
3Manufacturing precision
If acquisition time periods are adjusted to be consistent across modalities, then image fusion accuracy is improved, but the flexibility in scanning protocols is reduced
Solution Approach 1:
The patent resolves this contradiction by making the acquisition time periods dynamic rather than rigid. The system can adaptively determine consistent time periods for image fusion while maintaining flexibility to accommodate different scanning protocols and clinical requirements, allowing the same framework to work across various modality combinations and scanning scenarios
Data Source
AI summary
A method may include obtaining a first acquisition time period related to a scan of a first modality performed on an object. The method may also include obtaining one or more second acquisition time periods related to a scan of a second modality performed on the object. The method may also include obtaining, based on the first acquisition time period and the one or more second acquisition time periods, target data of the object acquired in the scan of the first modality. The method may also include generating one or more target images of the object based on the target data.