Medical Image Processing Apparatus for Real-Time Brain Perfusion Assessment
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Solution Overview
Problem
Current medical imaging technologies lack a clinically established method for real-time assessment of brain perfusion during X-ray interventions, leading to delayed detection of arterial clogs and potential brain dysfunction.
Innovation Solution
A medical image processing apparatus and method that processes X-ray transmission data to generate three-dimensional images of blood vessels and human anatomy, incorporating black-and-white reverse processing and combination of images to rapidly detect low-blood current regions and visualize blood flow changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CT examination is conducted after X-ray intervention to detect arterial clogs, then detection precision is improved, but loss of time worsens due to delayed detection (2-3 hours or next day)
Solution Approach 1:
The patent performs preliminary imaging actions during the X-ray intervention procedure itself by capturing mask images and contrast images at multiple projection angles. This preliminary data collection enables subsequent rapid 3D reconstruction and blood flow assessment without requiring delayed CT examination, thus resolving the contradiction between detection precision and time loss.
2Loss of information
If 3D-DSA is used to visualize blood vessels during X-ray intervention, then information completeness is improved, but device complexity worsens due to multiple imaging systems required
Solution Approach 1:
The patent makes the X-ray photographing unit perform multiple functions: it captures both mask images (without contrast media) and contrast images (with contrast media) at multiple projection angles. This multi-functional approach enables comprehensive blood vessel visualization and blood flow assessment using the same imaging device, reducing overall system complexity while maintaining information completeness.
3Productivity
If rapid thrombolytic therapy is performed based on delayed CT findings, then productivity is improved, but reliability worsens due to remaining brain dysfunction
Solution Approach 1:
The patent implements real-time feedback by rapidly reconstructing 3D blood vessel images and assessing blood flow status immediately after contrast image acquisition during the intervention procedure. This immediate feedback enables clinicians to evaluate the effectiveness of thrombolytic therapy in real-time and make timely adjustments, ensuring both rapid response and reliable outcomes without brain dysfunction.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables rapid detection of abnormal brain blood flow recirculation post-X-ray intervention, facilitating timely thrombolytic therapy and reducing brain dysfunction by providing immediate visualization of blood vessel clogs.
Implementation Method 1
X-ray transmission data collected by using rotatably supported X-ray photographing unit
Data Source
AI summary
A medical image processing apparatus is configured as follows. Namely the apparatus is provided with a first image generation unit which executes reconfiguration processing based on X-ray transmission data to generate a contrast blood vessel figure three-dimensional image data including a figure of a blood vessel in a subject having a contrast media injected thereto, a second image generation unit which executes reconfiguration processing based on the X-ray transmission data to generate a human anatomy figure three-dimensional image data including a figure of a human anatomy in the subject having no contrast media injected thereto, a black-and-white reverse processing unit which executes black-and-white reverse processing with respect to the contrast blood vessel figure three-dimensional image data to generate black-and-white reversed three-dimensional image data, and a combination processing unit which combines the human anatomy figure three-dimensional image data with the black-and-white reversed three-dimensional image data to generate combined image data.