Medical Image Registration via Multi-Stage Alignment
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Solution Overview
Problem
Current medical image processing techniques face challenges in accurately comparing and analyzing images taken at different times due to factors like patient movement, making it difficult to detect subtle changes in lesions or nodules over time.
Innovation Solution
A system and method for generating temporal subtraction images through a series of image registrations, where images are aligned using various spatial transformations and optimization algorithms to create a subtraction image that highlights changes over time, allowing for improved detection of pathological changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single image registration is performed, then the processing time is short, but the alignment accuracy between images taken at different times is insufficient
Solution Approach 1:
The patent divides the image registration process into multiple sequential registration stages (first registration, second registration, third registration) instead of performing a single registration. Each stage refines the alignment progressively, with the first registration providing coarse alignment, the second registration improving alignment of anatomical structures, and the third registration achieving precise alignment of feature points. This segmentation resolves the contradiction by trading increased processing time for significantly improved alignment accuracy.
Solution Approach 2:
The patent performs preliminary registrations before the final subtraction operation. The first and second registrations are performed as preliminary steps to establish a foundation for the third registration, which then achieves precise alignment. This preliminary action approach allows the system to invest processing time upfront to ensure high accuracy in the final temporal subtraction image.
2Measurement precision
If multiple image registrations are performed, then the alignment accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent segments the complex registration task into three distinct registration operations, each with specific objectives and transformation types. The first registration uses affine transformation for coarse alignment, the second registration focuses on anatomical structure alignment, and the third registration achieves precise feature point alignment. This segmentation makes the complex process more manageable and systematic.
Solution Approach 2:
The patent employs different spatial transformation types dynamically at different registration stages. The transformation model evolves from affine transformation in the first registration to more sophisticated transformations in subsequent registrations. This dynamic adaptation of transformation complexity allows the system to achieve high accuracy without uniformly applying maximum complexity throughout the entire process.
3Duration of action of moving object
If images are taken at various breathing stages, then the temporal coverage is improved, but the image comparability deteriorates due to breathing movement
Solution Approach 1:
The patent performs preliminary registrations that specifically address the misalignment caused by breathing movements. The first and second registrations are designed to correct for these physiological variations before the final subtraction operation, enabling accurate comparison of images taken at different breathing stages.
Solution Approach 2:
The patent introduces intermediate registered images as mediators between the original images taken at different breathing stages and the final subtraction result. These intermediate images serve as reference frames that facilitate the comparison by providing a common coordinate system that accounts for breathing-induced positional changes.
Data Source
AI summary
The present disclosure relates to a system and method for image registration and image subtraction. The technique includes perform acquiring data related to the image processing, performing a pre-processing of the images, performing an image registration, performing an image subtraction, performing a post-processing of the images and managing storage of the data.