Correcting Synthetic Electron Density Maps in MR-Based Radiotherapy
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Solution Overview
Problem
Current methods for radiotherapy planning using magnetic resonance image datasets alone are prone to errors in determining synthetic electron density maps, leading to inaccurate radiation dose calculations due to difficulties in differentiating between soft tissue and bone regions, which are critical for precise radiation therapy.
Innovation Solution
A method is developed to create a corrected synthetic electron density map by comparing soft tissue and bone image structures from an MR image dataset with corresponding structures in a magnetic resonance tomography-computed tomography (MR-CT) atlas, allowing for the correction of errors and differentiation between tissue types, thereby reducing the need for additional imaging and improving precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a synthetic electron density map is determined from an MR image dataset using algorithmic methods, then the need for additional CT imaging is reduced, but errors in differentiating between soft tissue and bone regions occur
Solution Approach 1:
The patent combines MR image datasets with atlas-based electron density information to create a hybrid approach. The method merges the soft tissue contrast advantages of MR imaging with the electron density accuracy of CT-based atlases, allowing accurate electron density determination without requiring additional CT scans of the patient.
Solution Approach 2:
The patent introduces an atlas-based synthetic electron density map as an intermediary between MR imaging and actual electron density measurement. This synthetic map serves as a mediator that translates MR image information into accurate electron density values by comparing patient-specific MR images with atlas data containing known electron density information.
2Ease of manufacture
If MR image datasets are used exclusively for radiotherapy planning, then additional CT imaging resources are saved, but accurate electron density determination becomes difficult
Solution Approach 1:
The patent performs preliminary actions by creating and storing atlas data that contains both MR image information and corresponding electron density maps before actual radiotherapy planning. This pre-computed atlas serves as a reference that can be quickly applied to patient-specific cases, eliminating the need for time-consuming additional imaging while ensuring accurate electron density determination.
3Extent of automation
If algorithmic methods are used to determine synthetic electron density maps from MR images, then the process is automated, but susceptibility to errors increases
Solution Approach 1:
The patent implements feedback mechanisms by comparing the generated synthetic electron density map with the original MR image data and atlas references. The method iteratively adjusts the synthetic map to ensure consistency with both the MR image contrast information and the atlas-based electron density expectations, thereby reducing algorithmic errors while maintaining automation.
Data Source
AI summary
Systems and methods are provided for determining a synthetic electron density map based on at least one MR image dataset and based on at least one soft tissue image structure and one bone image structure determined in the synthetic electron density map. The soft tissue image structure and the bone image structure may be compared with the corresponding structures in the MR image dataset. From a correction of the first soft tissue image structure and/or of the bone image structure is based on the comparison, a corrected synthetic electron density map is determined.