MRI Mechanical Axis Alignment Using Segmented Imaging
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Solution Overview
Problem
Current medical imaging techniques, such as MRI, CT, and x-ray, for pre-surgical analysis of joints like the knee joint are time-consuming and complex, requiring multiple images taken from different angles, which can be degraded by patient movement.
Innovation Solution
A method involving securing the patient to a table, immobilizing anatomical reference areas like the ankle, knee, and hip, acquiring initial sets of image data, creating a positional map, and then allowing patient movement to acquire higher detail image sets, correlating their locations for accurate joint analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple separate MRI images are taken of different body areas (knee, hip, ankle) to obtain complete anatomical analysis, then measurement precision and completeness of joint analysis is improved, but imaging time and process complexity increase
Solution Approach 1:
The imaging process is segmented into two distinct phases: a first imaging phase where the patient is immobilized to capture baseline anatomical relationships between multiple body areas (knee, hip, ankle), and a second imaging phase where the patient is allowed to move to capture detailed joint characteristics. This segmentation allows each phase to optimize for its specific purpose, reducing total imaging time while maintaining measurement precision.
Solution Approach 2:
The first set of images is acquired as a preliminary action to establish the anatomical map and mechanical axis alignment before the patient moves. This preliminary imaging captures the spatial relationships between different body areas, which then serves as a reference framework for correlating subsequent detailed images taken when the patient is allowed to move.
2Reliability
If the patient remains immobilized throughout the entire imaging process to prevent image degradation, then image quality is improved, but imaging time and patient discomfort increase
Solution Approach 1:
The imaging protocol is divided into two segments: an initial immobilized phase to establish anatomical relationships, followed by a mobile phase to capture detailed joint characteristics. By segmenting the imaging process, the system allows patient movement during the second phase without degrading overall image quality, since the anatomical framework was already established in the first phase.
Solution Approach 2:
The first set of images acts as an intermediary reference framework that enables correlation of subsequent images taken when the patient moves. This intermediary anatomical map allows the system to reconstruct accurate spatial relationships even when detailed images are acquired during patient movement, eliminating the need for continuous immobilization.
3Productivity
If detailed images are acquired after patient movement to improve comfort and reduce imaging time, then productivity is improved, but image correlation complexity increases
Solution Approach 1:
The anatomical map is created in advance during the first imaging phase when the patient is immobilized. This preliminary establishment of spatial relationships between multiple body areas provides a reference framework that simplifies the subsequent correlation process, even though detailed images are taken after patient movement.
Solution Approach 2:
The system uses the first set of images as feedback to guide the correlation process. By comparing the second set of detailed images against the established anatomical map, the system can accurately locate and correlate joint characteristics even when acquired during patient movement, managing the correlation complexity through iterative comparison.
Data Source
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AI summary
A method of imaging a body part of a patient can include acquiring a first, second and third sets of image data from a first, second and third anatomical reference areas. The first, second and third sets of image data can then be compiled to produce a legend of the body part. The legend can have positional information of the first, second and third anatomical reference areas. A fourth, fifth and sixth sets of image data of the first, second and anatomical reference areas can be acquired. The fourth, fifth and sixth sets of image data can have increased image information relative to the first, second and third sets of image data, respectively. The locations of the fourth, fifth and sixth sets of image data relative to the first, second and third sets of image data can be correlated using the legend to determine a characteristic of the body part.