Myocardial Perfusion Analysis Using Multidimensional Data Arrays
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Solution Overview
Problem
Existing methods for analyzing perfusion through the myocardium, such as SPECT imaging, are cumbersome and require examining multiple images to gain a good rendition of perfusion processes, with limited display capacity restricting the number of sequential frames that can be shown.
Innovation Solution
A method utilizing a multidimensional output data array with values arranged along data axes representing time and spatial position, allowing for a single output image to provide an easy-reference rendition of temporal and spatial variations, reducing data processing and enabling clear visualization of differences in blood supply to myocardial sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple sequential frames are displayed to show perfusion variations, then the rendition of perfusion process is improved, but the device complexity and ease of operation deteriorate due to limited monitor capacity and cumbersome examination of each individual section
Solution Approach 1:
The patent transforms temporal perfusion data into a spatial representation by mapping time-varying perfusion values across multiple cardiac frames into a single two-dimensional color-coded map. Each pixel in the map represents a spatial location in the myocardium, while its color encodes the temporal perfusion characteristics at that location across all frames. This dimensional transformation allows comprehensive perfusion information to be visualized simultaneously without requiring sequential frame examination.
2Loss of information
If the number of sequential frames is increased to show more perfusion variations, then the perfusion rendition is improved, but the monitor capacity is exceeded and the system becomes less usable
Solution Approach 1:
The patent merges multiple sequential perfusion frames containing temporal variations into a single integrated color-coded map. Instead of displaying separate frames that would overwhelm monitor capacity, the invention combines the essential perfusion information from all frames into one visual representation where color intensity or hue encodes the temporal perfusion dynamics at each spatial location, thus preserving all relevant variations within display limits.
Solution Approach 2:
The patent changes the representation parameter from displaying multiple grayscale or single-color frames to using a color-coded scheme where color properties (hue, saturation, or intensity) encode temporal perfusion variations. This parameter transformation allows rich temporal information to be compressed into a single visual field that fits within standard monitor capabilities while maintaining diagnostic value.
3Measurement precision
If each individual myocardial section is examined in multiple images, then accurate perfusion analysis is achieved, but the time required for analysis increases significantly
Solution Approach 1:
The patent reorganizes the data structure from a temporal sequence of spatial images into a spatial map with encoded temporal information. By mapping time-varying perfusion values at each myocardial location into a single color-coded pixel, the system enables simultaneous assessment of perfusion accuracy across all sections without requiring sequential examination of multiple frames, thus maintaining measurement precision while eliminating time loss.
Data Source
AI summary
In a method of analyzing a quantity having temporal and spatial variations a multidimensional output data array is formed. The multidimensional output data array comprises array positions arranged along at least a first data-axis and a second data-axis, such as a spatial axis and a temporal axis. Values of the quantity are entered in the multidimensional output data array. Values of the quantity at substantially the same instant are entered at respective positions in the multidimensional output data array at equal positions along the first data-axis. Values of the quantity at substantially the same spatial position are entered at respective positions in the multidimensional output data array at equal positions along the second data-axis.