Synoptic Cardiac Image Display for Perfusion-Wall Motion Correlation
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Solution Overview
Problem
Existing methods for assessing myocardial viability and wall motion abnormalities in cardiac images are tedious, prone to visual inconclusiveness, and demand simultaneous estimation of perfusion and spatial correspondence, which is challenging without aid.
Innovation Solution
A method for generating a synoptic representation of cardiac image data combining multiple cardiac characteristics, such as perfusion and wall motion, to facilitate spatial correspondence assessment, using techniques like segmentation, alignment, and graphical overlays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If four or more image volumes from multiple scans and reconstructions are simultaneously appraised by visual inspection, then spatial correspondence between cardiac characteristics can be assessed, but the process becomes tedious and prone to visual inconclusiveness
Solution Approach 1:
The patent combines multiple cardiac characteristics (perfusion, wall motion, wall thickness) from different image volumes into a single integrated display. This merging allows clinicians to assess spatial correspondence between characteristics without manually comparing multiple separate images, thereby improving assessment accuracy while reducing operational complexity and visual fatigue
Solution Approach 2:
The patent introduces a new dimensional representation by overlaying multiple cardiac characteristics in a synoptic display format. This dimensional transformation integrates information from multiple image volumes into a unified visual framework, enabling simultaneous assessment of spatial correspondence without the tedium of sequential visual comparison
2Device complexity
If unaided visual appraisal is used to estimate changes in perfusion and spatial correspondence simultaneously, then no additional equipment is needed, but the process is very demanding and prone to errors
Solution Approach 1:
The patent introduces a computational processing system as an intermediary between the raw image data and the clinician's assessment. This intermediary automatically calculates perfusion changes, wall motion abnormalities, and spatial correspondence, then presents the results in an integrated display. This mediator handles the complex simultaneous estimation tasks that are too demanding for unaided visual appraisal, thereby improving precision while maintaining relative system simplicity
Data Source
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AI summary
The invention relates to a medical image processing method (1). According to the method, cardiac image data of a patient relating to at least two different cardiac characteristics is received (S1). The cardiac image data is processed (S2) to generate a synoptic representation (2) of the at least two different cardiac characteristics and the synoptic representation (2) is output (S3). The invention further relates to a corresponding computer program element and to a corresponding image processing device.