DBS Electrode Positioning via MRI-CT Subvolume Fusion
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Solution Overview
Problem
Current methods for determining the position of a deep brain stimulation (DBS) electrode with respect to a target region, such as the subthalamic nucleus, are challenging due to interference from metal electrodes and difficulties in visualizing soft tissue targets using existing imaging modalities like MRI and CT, especially during DBS implantation for treating movement disorders.
Innovation Solution
A method involving subvolume rendering and image alignment between pre-implantation MRI and post-implantation CT volume data sets using mutual information to clearly visualize the position of the DBS electrode relative to the target region, allowing for precise positioning and evaluation during DBS implantation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If metal DBS electrodes are implanted for deep brain stimulation, then therapeutic effect is achieved, but imaging interference occurs making target region visualization difficult
Solution Approach 1:
The patent segments the imaging data into two separate volume data sets: one containing the target region information (STN) from pre-implantation MRI, and another containing the electrode information from post-implantation CT. This segmentation allows each data set to be optimized for its specific purpose without interference from the metal electrode in the MRI data.
Solution Approach 2:
The patent introduces a computer as an intermediary system that performs image registration and fusion algorithms. The computer processes and aligns the pre-implantation MRI data with post-implantation CT data, generating a fused image that displays both the target region and electrode position without the metal interference artifacts that would occur in direct MRI imaging.
2Difficulty of detecting and measuring
If pre-implantation MRI is used to visualize soft tissue targets like STN, then target identification is improved, but metal electrode interference occurs after implantation
Solution Approach 1:
The patent performs the MRI imaging of the target region (STN) before the electrode implantation, when no metal interference is present. This preliminary acquisition of high-quality soft tissue data is then preserved and integrated with post-implantation CT data, allowing the benefits of pre-implantation soft tissue visualization to be maintained while avoiding post-implantation metal interference.
Solution Approach 2:
The patent creates a digital copy of the pre-implantation MRI volume data set and uses it in the fused image generation. This digital copy preserves the high-quality soft tissue target region information without being affected by the metal electrode interference that occurs after implantation, allowing the target visualization to remain clear.
3Measurement precision
If image alignment between pre-implantation MRI and post-implantation CT is performed, then electrode position accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent replaces manual or mechanical image alignment methods with automated computer-based image registration algorithms. The computer systematically processes the pre-implantation MRI and post-implantation CT volume data sets, using computational algorithms to align the images based on anatomical landmarks and coordinate systems, thereby achieving high precision without manual intervention.
Solution Approach 2:
The patent transforms the image data from different modalities (MRI and CT) into a common coordinate system and format through parameter changes. By standardizing the spatial parameters and intensity scales of both volume data sets, the system enables accurate fusion and alignment while managing processing complexity through systematic parameter transformation.
Data Source
AI summary
The present invention relates to a method of determining the position of a deep brain stimulation (DBS) electrode which finds the position of the DBS electrode with respect to a deep brain target region, by using a first volume data set containing information on the deep brain target region and a second volume data set containing information on the DBS electrode implanted toward the deep brain target region, and which includes: a first step of generating a subvolume of the deep brain target region from the first volume data set, and also generating a subvolume of the DBS electrode from the second volume data set; and a second step of overlapping and displaying the subvolume of the deep brain target region and the subvolume of the DBS electrode.