Medical Image Processing Apparatus for Cerebral Vascular Contraction Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current medical image processing techniques, such as CTA and CTP, face challenges in accurately identifying cerebral vascular contraction due to the difficulty in visualizing vascular shape and blood circulation conditions simultaneously, leading to subjective risk evaluations and potential overlooking of contraction portions, especially in dense cerebral blood vessels.
Innovation Solution
A medical image processing apparatus that combines vascular shape images with perfusion value images, using a control unit to extract vascular regions, analyze perfusion values, and display a composition image that includes both vascular shape and perfusion data, enabling quantitative risk evaluation of cerebral infraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If CTA and CTP are combined for examination, then both vascular shape and blood circulation information can be obtained, but the vascular shape and blood circulation conditions cannot be displayed on the screen at the same time, making it difficult to determine the position of vascular contraction
Solution Approach 1:
The patent combines CTA vascular shape images and CTP perfusion value images into a single integrated display screen. The vascular shape image shows the anatomical structure of blood vessels while the perfusion value image overlays blood circulation information, allowing simultaneous visualization of both vascular morphology and perfusion status without requiring separate examination screens or manual coordination between observers.
2Measurement precision
If CTA images are displayed without perfusion information, then vascular shape can be visualized, but contraction portions in dense cerebral blood vessels may be overlooked
Solution Approach 1:
The patent merges CTA vascular shape imaging with CTP perfusion imaging to create a composite display where both structural and functional information are simultaneously visible. The perfusion value image is overlaid on or adjacent to the vascular shape image, enabling observers to identify contraction portions by observing both the anatomical structure and corresponding perfusion abnormalities in the same visual field.
3Device complexity
If simple arrangement of CTA and CTP images is used, then device complexity is reduced, but quantitative evaluation cannot be performed and evaluation becomes subjective
Solution Approach 1:
The patent replaces manual subjective evaluation with automated image processing and quantitative analysis systems. The system automatically extracts vascular shapes from CTA images, calculates perfusion values from CTP images, and generates composite displays with measurable parameters. This substitution of manual observation with automated computational analysis enables objective, quantitative evaluation of vascular contraction and perfusion status without relying on observer subjectivity.
Data Source
AI summary
According to one embodiment, a medical image processing apparatus includes at least a vascular region extracting unit, a vascular shape image generating unit, a perfusion analyzing unit, a perfusion image generating unit, an image composition unit. The vascular region extracting unit extracts a vascular region based on a three-dimensional medical image. The vascular shape image generating unit generates an image of a vascular shape of the vascular region. The perfusion analyzing unit performs perfusion analysis on the three-dimensional medical image and obtains a perfusion value indicating a blood circulation condition in tissue around the vascular region. The perfusion image generating unit generates an image indicating the perfusion value. The image composition unit generates a vascular shape perfusion composition image in which an image of the vascular shape in a contraction portion in a blood vessel corresponding to the vascular region is combined with the image indicating the perfusion value.