CT and SPECT Image Fusion for Ischemic Region Detection

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Solution Overview

Problem

Current image processing methods for analyzing morphological information of the heart, particularly for ischemic heart diseases, face inaccuracies due to limitations in CT image data resolution, leading to improper analysis of myocardial states and blood vessel forms, which can result in incorrect treatment strategies and measurements of treatment effects.

Innovation Solution

An image processing apparatus and method that combines CT image data with SPECT image data to calculate fluid indices and function indices, detects mismatches between these indices, and determines spatial regions of mismatch to improve the accuracy of morphological information by re-extracting blood vessels and correcting CT image data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If CT image data with limited resolution is used for morphological analysis, then the analysis process is simple and fast, but the accuracy of blood vessel extraction and myocardial state analysis deteriorates

Engineering Contradiction:
Improveaccuracy of blood vessel extractionVSAvoidcomplexity of image processing method
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines CT image data with SPECT image data to perform integrated analysis. The CT data provides anatomical structure information for blood vessel extraction, while SPECT data provides functional information about myocardial perfusion. By merging these two data sources, the system achieves accurate blood vessel extraction and myocardial state analysis that overcomes the resolution limitations of CT alone, without requiring complex alternative imaging systems.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces a mismatch detection mechanism as an intermediary step between CT-based morphological analysis and SPECT-based functional analysis. This intermediary detects discrepancies between the two data sets, allowing the system to identify and correct errors in blood vessel extraction or myocardial state assessment, thereby improving overall accuracy without fundamentally changing the imaging modalities.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If only CT image data is used for morphological analysis, then the processing time is short, but the reliability of treatment strategy determination deteriorates due to improper analysis

Engineering Contradiction:
Improvereliability of treatment strategyVSAvoidanalysis time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent performs preliminary mismatch detection between CT and SPECT data before final treatment strategy determination. By early in the analysis process, the system identifies discrepancies between morphological and functional data, allowing corrective actions to be taken before committing to a treatment plan. This preliminary check ensures reliability without requiring complete re-analysis of all data.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements a feedback mechanism where the results from SPECT functional analysis are used to validate and correct the CT-based morphological analysis. The mismatch detection module provides feedback about inconsistencies, which then triggers re-extraction or re-analysis of specific regions. This feedback loop ensures that treatment strategies are based on accurate, validated information rather than potentially erroneous single-modality analysis.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If area expansion analysis is conducted based only on coronary artery form, then the processing is simple, but the accuracy of ischemic region identification deteriorates when coronary artery form is not sufficiently acquired

Engineering Contradiction:
Improveaccuracy of ischemic region identificationVSAvoidcomplexity of analysis method
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges CT-based anatomical analysis with SPECT-based functional analysis to identify ischemic regions. Instead of relying solely on coronary artery form from CT images, the system combines this with SPECT perfusion data that directly shows blood flow to myocardial tissue. This combination allows accurate ischemic region identification even when CT resolution is insufficient to clearly define coronary artery boundaries, as the SPECT data provides complementary functional information.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent applies area expansion analysis not just to the visible coronary artery form in CT images, but also to regions suggested by SPECT perfusion abnormalities. When SPECT indicates potential ischemia in a region where CT coronary artery definition is uncertain, the system performs partial area expansion analysis in those specific regions to ensure no ischemic areas are missed, going beyond what strict CT-based analysis would provide.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS10565709B2Image processing apparatus and image processing method
Publication Date: 2020.02.18 CANON MEDICAL SYST CORP
  • US10565709B2 patent drawing
  • US10565709B2 patent drawing
  • US10565709B2 patent drawing

AI summary

An image processing apparatus according to an embodiment comprises processing circuitry configured to acquire morphology image data including a site of a subject and function image data including the site, extract a blood vessel region that corresponds to a blood vessel included in the morphology image data, calculate a fluid index in the blood vessel region, and based on the fluid index, calculate a first function index as an index indicating a function of a tissue to which a nutrient is supplied from the blood vessel, acquire a second function index as an index indicating a function of the tissue based on the function image data, detect a mismatch between the first function index and the second function index, and determine a spatial region that corresponds to the mismatch in the site.