Medical Image Processing Apparatus for Cerebral Aneurysm Measurement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting and measuring cerebral aneurysms in follow-up examinations require manual or semiautomatic specification of positional parameters, which is burdensome and prone to variation based on operator skill, and simple alignment of volume data cannot accurately account for shape changes over time.
Innovation Solution
A medical image processing apparatus and method that performs a former alignment on peripheral regions and a latter alignment on observation target regions of volume data, using the results to apply measurement conditions from initial examination data to follow-up examination data for precise measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual or semiautomatic specification of positional parameters is used at each follow-up examination, then measurement results can be obtained, but operator burden increases and skill dependence causes variation
Solution Approach 1:
The system performs preliminary alignment of follow-up volume data with initial examination data by automatically specifying positional parameters based on the initial examination results. This preliminary action eliminates the need for operators to manually specify parameters at each follow-up examination, reducing operator burden while maintaining measurement accuracy through automated parameter transfer and adjustment.
2Ease of operation
If simple alignment of volume data is performed, then operator work is reduced, but shape changes of cerebral aneurysm over time prevent appropriate alignment
Solution Approach 1:
The system employs dynamic alignment that adapts to shape changes of cerebral aneurysms over time. Instead of using fixed simple alignment methods, the system automatically adjusts alignment parameters based on the actual shape changes detected between initial and follow-up examinations, maintaining alignment accuracy despite temporal shape variations while keeping operator intervention minimal.
Solution Approach 2:
The system changes alignment parameters automatically to accommodate shape changes of the cerebral aneurysm. By detecting shape variations between examinations and adjusting alignment parameters accordingly, the system maintains accurate alignment without requiring operators to manually recalibrate, thus preserving both ease of operation and measurement precision.
3Productivity
If positional parameters are transferred from initial to follow-up examination, then operator burden is reduced, but shape changes cause misalignment
Solution Approach 1:
The system implements feedback mechanisms that detect shape changes between initial and follow-up examinations and automatically adjust transferred positional parameters accordingly. The alignment process incorporates feedback from shape change detection to refine parameter transfer accuracy, ensuring reliable alignment while maintaining high detection efficiency through automated adjustment.
Data Source
AI summary
A medical image processing apparatus includes a processing circuitry. The processing circuitry sets a first region and a second region different from the first region on first volume data and sets the first and second regions on second volume data, the first regions each including an observation target. The processing circuitry performs a former alignment on the second regions of the first and second volume data. The processing circuitry performs a latter alignment on the first regions of the first and second volume data by using a result of the former alignment. The processing circuitry applies a measurement condition used for a measurement of the observation target in the first volume data to a measurement of the observation target in the second volume data by using a result of the latter alignment.