Black Bone MRI Processing for High-Contrast Bone Visualization
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Solution Overview
Problem
Current imaging techniques, particularly MRI, are inadequate for accurately visualizing bone structures due to low resolution and ionizing radiation concerns, limiting their effectiveness in surgical planning and post-op imaging.
Innovation Solution
The method involves processing black bone MRI datasets using an echo sequence with a low flip angle gradient and auto detection algorithms to generate dynamic virtual models that highlight bone structures, reducing radiation exposure and improving bone tissue visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If standard MRI is used for bone imaging, then ionizing radiation exposure is avoided, but bone resolution and image quality are poor
Solution Approach 1:
The patent changes key MRI acquisition parameters including using a low flip angle (5 degrees) gradient echo sequence with specific echo time (TE = 4.2 ms) and repetition time (TR = 8.6 ms) to optimize bone signal detection. This parameter optimization enables standard MRI to visualize bone structures with sufficient resolution for surgical planning without requiring ionizing radiation
Solution Approach 2:
The patent replaces the mechanical/x-ray based CT imaging system with an electromagnetic MRI system that uses magnetic fields and radiofrequency pulses. This substitution eliminates ionizing radiation exposure while maintaining the capability to image bone structures through optimized MRI sequences and post-processing algorithms
2Measurement precision
If CT scan is used for bone imaging, then bone depiction quality is superior, but ionizing radiation exposure occurs
Solution Approach 1:
The patent replaces the x-ray based CT imaging system with an electromagnetic MRI system that uses magnetic fields and radiofrequency pulses. This substitution eliminates ionizing radiation exposure while maintaining the capability to image bone structures through optimized MRI sequences and post-processing algorithms
Solution Approach 2:
The patent optimizes MRI acquisition parameters including low flip angle gradient echo sequences with specific TE and TR values to achieve bone signal detection quality comparable to CT scans, thereby achieving CT-level bone depiction without ionizing radiation
3Loss of time
If standard MRI is used for bone imaging, then acquisition time is reduced compared to other methods, but bone signal detection remains insufficient
Solution Approach 1:
The patent uses a gradient echo sequence with low flip angle (5 degrees) and optimized echo time (TE = 4.2 ms) and repetition time (TR = 8.6 ms) to achieve rapid bone signal detection. This parameter optimization maintains fast acquisition typical of gradient echo sequences while improving bone signal visibility
Solution Approach 2:
The patent creates a virtual copy or model of the bone structures from the MRI data through post-processing algorithms. This allows the bone information to be extracted and visualized in 3D format, effectively copying the bone structure data from the optimized MRI sequence for surgical planning purposes
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy and safety of surgical planning by providing high-contrast bone imaging without the need for additional radiation, enabling effective pre-surgery preparation and post-op analysis.
Implementation Method 1
The low resolution of bone on standard MRI results from the low proton content and short transverse relaxation times of hard tissues
Data Source
AI summary
A system and method for providing an imaging system utilizing black bone MRI scanning data of a particular patient. Post processing software is provided for executing on a computer system to process the Black Bone MRI dataset into a 360VR model. This model highlights bone structures of the particular patient. The post processing software first inverts the dataset and then utilizes an auto detection algorithm that detects the pixels of intensity range similar to that of bone. Additional tools such as an erase tool that removes pixels out of intensity range within the designated bounds of the area, were developed to help further clean up the model, thereby providing a model useful for planning or performing medical procedures on the patient.