3D Volume Reconstruction With Personalized Models for Patient Motion
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Solution Overview
Problem
Existing 3D volume reconstruction methods for moving objects, such as patients, are impaired by respiratory and involuntary movements, leading to poor image quality or failure in CBCT acquisitions, especially for spinal columns and internal organs, due to difficulties in motion compensation and initialization.
Innovation Solution
A method using a generalized 3D model personalized by a first projection image, followed by registration and iterative refinement of further images, allowing stable motion compensation even with strong movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional image-based motion compensation is used, then motion correction can be performed, but the initialization fails when patient movements are strong
Solution Approach 1:
The patent applies preliminary action by using a generalized 3D model (created from pre-acquired CT or MRI data) to establish an initial reference framework before processing the projection images. This pre-established model provides a stable initialization basis that does not depend on the quality of initial motion compensation, thereby solving the initialization failure problem when patient movements are strong.
2Measurement precision
If a multiplicity of projection images are acquired during rotation, then 3D volume images can be obtained, but acquisition time increases
Solution Approach 1:
The patent introduces a generalized 3D model as an intermediary between the projection images and the reconstruction process. This model serves as a mediator that guides the registration and reconstruction algorithms, enabling accurate 3D volume reconstruction from fewer projection images or from images affected by motion, thereby reducing acquisition time while maintaining image quality.
3Measurement precision
If patient movements are compensated, then image quality improves, but the complexity of the reconstruction process increases
Solution Approach 1:
The patent reduces reconstruction complexity by performing preliminary actions: creating a generalized 3D model from pre-acquired anatomical data (CT or MRI) before the X-ray acquisition. This pre-prepared model eliminates the need for complex real-time motion tracking and initialization procedures during the reconstruction process, simplifying the overall workflow while maintaining image quality.
4Reliability
If strong patient movements occur during acquisition, then motion compensation is needed, but conventional methods fail to initialize
Solution Approach 1:
The generalized 3D model acts as an intermediary that bridges the gap between the projection images and the reconstruction algorithm. When strong patient movements occur, this pre-established model provides a stable reference framework that guides the registration process, enabling successful initialization and effective motion compensation without requiring complex real-time motion tracking systems.
Data Source
AI summary
For a simple 3D reconstruction, a method for reconstructing a 3D volume of a moving object under examination is provided, having the following steps: providing a dataset containing a multiplicity of projection images, which was generated during a rotation run of an acquisition system of an X-ray device about the object under examination; selecting at least one first projection image from the dataset; providing a generalized 3D model of the object under examination; generating a personalized 3D model of the object under examination from the generalized 3D model using the first projection image; selecting a second projection image from the dataset; registering the second projection image to the personalized 3D model of the object under examination; and reconstructing a 3D volume of the object under examination on the basis of the first and at least one further registered projection image.