3D Surgical Planning With Adjustable Treatment Zones
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Solution Overview
Problem
Clinicians face difficulties in effectively planning surgical procedures using raw CT images or MRIs, as these images are typically obtained in slices and require offline memorization, making it challenging to accurately identify and plan treatment zones and access routes.
Innovation Solution
A computing device-based system that guides clinicians through a user interface for planning treatment procedures, allowing selection of targets, setting treatment zones, and defining access routes using 3D reconstructions from CT image data, with adjustable markers and parameters, and providing 3D models for visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If clinicians use raw CT images or MRIs in slice form for treatment planning, then the system complexity is reduced, but the measurement precision and planning accuracy deteriorate
Solution Approach 1:
The patent transforms 2D slice images into a 3D interactive model, adding the third dimension of depth and spatial relationship. This allows clinicians to view targets and treatment zones in three-dimensional space, improving identification accuracy and planning precision while managing complexity through structured 3D rendering techniques.
Solution Approach 2:
The system creates a digital 3D copy of the patient's anatomy from CT/MRI data, separate from the original raw images. This virtual replica can be manipulated, rotated, and examined without altering the source data, enabling repeated analysis and planning with improved precision while isolating the complexity in the virtual model rather than the original imaging system.
2Device complexity
If clinicians review CT image data slice by slice to identify targets, then the information processing is simplified, but the time required for planning increases
Solution Approach 1:
The system performs preliminary processing of CT/MRI data to automatically generate the 3D reconstruction and identify potential targets before the clinician begins detailed planning. This pre-processing reduces the time required for manual slice-by-slice review by preparing the data in an already-organized three-dimensional format.
Solution Approach 2:
The 3D model allows continuous navigation and examination of the treatment zone from any angle without the discontinuity of sequential slice review. Clinicians can smoothly transition between different views and depths, maintaining continuous engagement with the data rather than jumping through discrete slices, thereby reducing overall planning time.
3Ease of operation
If clinicians memorize CT image information offline before procedures, then the operational workflow is simplified, but the reliability and accuracy of treatment planning deteriorates
Solution Approach 1:
The 3D interactive model serves as an intermediary between the raw CT/MRI data and the treatment planning process. Instead of requiring clinicians to memorize complex 2D slice information, the system provides an intuitive 3D visual representation that can be referenced during the procedure, improving both ease of operation and planning accuracy simultaneously.
Solution Approach 2:
The system replaces the mechanical process of memorization with a digital visualization system. Rather than relying on human memory to retain and recall anatomical details, the 3D model provides persistent, accurate visual references that can be displayed during the procedure, eliminating the reliability issues associated with memorization while maintaining operational simplicity.
4Measurement precision
If the treatment zone marker is adjusted in one slice, then the local detail is improved, but the consistency across other slices may be compromised
Solution Approach 1:
The system implements nested adjustment mechanisms where modifying the treatment zone marker in one slice automatically updates corresponding markers in other slices through a hierarchical structure. The 3D model maintains consistency across all slices while allowing local adjustments, ensuring that any change in one plane is propagated appropriately to maintain overall anatomical accuracy.
Solution Approach 2:
The 3D interactive model provides real-time feedback when a clinician adjusts the treatment zone marker in one slice, automatically updating the model across all slices to maintain consistency. This feedback mechanism ensures that local adjustments do not compromise overall accuracy, as the system continuously verifies and synchronizes the treatment zone across the entire 3D anatomy.
Data Source
AI summary
A system and method for planning surgical procedure including a treatment zone setting view presenting at least one slice of a 3D reconstruction generated from CT image data including a target. The treatment zone setting view presenting a treatment zone marker defining a location and a size of a treatment zone and configured to adjust the treatment zone marker in response to a received user input. The system and method further including a volumetric view presenting a 3D volume derived from the 3D reconstruction and a 3D representation of the treatment zone marker relative to structures depicted in the 3D volume.