Medical Image Processing Apparatus for Tumor Progression Analysis
Solution Overview
Problem
Conventional methods require multiple diagnostic apparatuses, such as X-ray CT scanners and SPECT, and complex approaches to accurately diagnose pulmonary nodules, necessitating supplementation of morphological and functional information for improved accuracy.
Innovation Solution
A medical image processing apparatus and program that calculates morphological and functional information from a single imaging apparatus, enabling the specification of probable diseases, such as tumors or nodules, by integrating morphological and functional tumor degree calculations to assess disease progression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple diagnostic apparatuses (X-ray CT scanner and SPECT) are used to accurately diagnose pulmonary nodules, then diagnostic accuracy is improved, but device complexity and operational convenience deteriorate
Solution Approach 1:
The patent combines morphological information from CT imaging and functional information from perfusion imaging into a single integrated diagnostic system. The image processing apparatus simultaneously acquires and processes both types of data, merging multiple diagnostic functions into one apparatus to maintain high diagnostic accuracy while reducing device complexity
Solution Approach 2:
The diagnostic system is designed to perform multiple functions using a single apparatus: it can acquire morphological information, acquire functional information through contrast agent injection, and integrate both types of data for comprehensive diagnosis. This multi-functionality eliminates the need for separate diagnostic devices
2Measurement precision
If multiple diagnostic apparatuses are used to obtain morphological and functional information, then diagnostic accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system merges the operational workflows of morphological imaging and functional imaging into a single integrated process. Both types of information are acquired and processed within one diagnostic session using one apparatus, eliminating the need for physicians to operate multiple separate devices and improving ease of operation
Solution Approach 2:
The system performs preliminary acquisition of both morphological and functional information in a single diagnostic session. By preparing and acquiring all necessary data upfront using one apparatus, the system simplifies the operational process and avoids the need for subsequent separate imaging procedures
3Measurement precision
If complex approaches are used to determine multiple parameters for diagnosis, then diagnostic accuracy is improved, but device complexity increases
Solution Approach 1:
The patent introduces an image processing apparatus as an intermediary that automatically integrates morphological and functional information. This intermediary system handles the complex processing and combination of multiple parameters, maintaining high diagnostic accuracy while reducing the apparent complexity for the end user through automated integration
Data Source
AI summary
A medical image processing apparatus to accurately identify malignant transformations of probable tumors. The medical image processing apparatus including a specifying mechanism and first, second, and third computing mechanisms. The specifying mechanism specifies a probable tumor from medical image data upon receiving the medical image data obtained by imaging a subject by a single medical imaging apparatus. The first computing mechanism calculates morphological information indicating morphological characteristics of a specified probable disease based on this medical image data. The second computing mechanism calculates functional information of the specified probable disease based on this medical image data. The third computing mechanism calculates amount of progress characteristics indicating the extent of the probable disease based on the morphological information and functional information.