CT Scanning Data Processing for Multi-Phase Image Reconstruction
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Solution Overview
Problem
Current CT image reconstruction methods are inefficient due to physiological movements of the object, such as arrhythmia and tachycardia, which require reconstructing multiple images of different motion phases, leading to duplicate efforts in data retrieval and processing.
Innovation Solution
A system and method that acquire and process multiple target phases of a scanning object's motion, identifying specific time periods for data acquisition, and retrieving and processing scanning data sets once to reconstruct phase images, reducing duplicate efforts and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple images of different motion phases are reconstructed to account for physiological movements, then image quality for diagnosis is improved, but data retrieval and processing are performed multiple times leading to reduced efficiency
Solution Approach 1:
The patent applies preliminary action by performing data retrieval and preprocessing operations once before phase separation, rather than repeating these operations for each phase. The system pre-identifies time periods corresponding to different motion phases from the acquired scanning data, prepares the data in advance, and then performs phase-specific image reconstruction only when needed. This eliminates redundant data retrieval and preprocessing steps while maintaining the ability to generate multiple phase images for diagnostic purposes.
2Measurement precision
If multiple images of different motion phases are reconstructed to account for physiological movements, then diagnostic capability is improved, but computational resources are consumed multiple times leading to increased energy use
Solution Approach 1:
The patent applies merging by combining the data retrieval and preprocessing operations into a single unified process that serves multiple phase reconstruction needs. Instead of separately retrieving and preprocessing data for each motion phase, the system performs these operations once on the complete scanning dataset, then divides the preprocessed data into phase-specific subsets for reconstruction. This consolidation significantly reduces computational energy consumption while preserving the ability to generate diagnostically useful phase images.
Data Source
AI summary
The systems and method for processing scanning data of a scanning object are provided. The method may include acquiring, in a scanning process, at least two target phases of a motion of the scanning object, wherein the scanning process involves multiple data acquisition time points each of which corresponds to a scanning data set; identifying at least two first time periods during the scanning process, each first time period corresponding to one of the two target phases; determining a second time period that encloses the at least two first time periods; and retrieving once, from the multiple scanning data sets, second scanning data sets for reconstructing phase images each of which corresponds to one target phase, the second scanning data sets being acquired at second data acquisition time points of the multiple data acquisition time points within the second time period.