Virtual MRI Generation for Standing and Prone Patient Imaging
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Solution Overview
Problem
Current surgical imaging technologies face challenges in generating accurate virtual images of patients in desired positions, particularly for positions that are difficult or impossible to achieve with standard MRI machines, such as standing or prone positions.
Innovation Solution
The method involves receiving an initial MRI image of a patient in a first position and a series of images in a second position, segmenting the initial image to identify bony and soft tissue elements, and generating a virtual MRI image by registering the bony elements and updating the soft tissue information based on additional imaging data, such as X-ray or ultrasound images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If standard MRI machines are used to image patients, then detailed soft tissue information is obtained, but patients cannot be imaged in standing or prone positions
Solution Approach 1:
The system segments the patient's anatomy into bony elements and soft tissue elements. Bony elements are imaged using X-ray or CT in standing/prone positions, while soft tissue elements are imaged using MRI in supine position. This segmentation allows each tissue type to be imaged in its optimal position, resolving the contradiction between position flexibility and image accuracy.
Solution Approach 2:
The system uses bony landmarks as intermediary reference points to register and align the separately acquired X-ray/CT images (standing/prone position) with MRI images (supine position). This intermediary approach enables the combination of images from different positions and modalities into a coherent virtual image that maintains anatomical accuracy.
2Loss of information
If multiple MRI scans are performed to capture different positions, then comprehensive anatomical data is obtained, but scanning time and cost increase
Solution Approach 1:
The system merges X-ray or CT images (which can capture bony anatomy in standing/prone positions quickly) with a single MRI scan (which provides detailed soft tissue information in supine position). This combination achieves comprehensive anatomical data coverage without requiring multiple time-consuming MRI scans in different positions.
Solution Approach 2:
The system creates a virtual MRI image that copies and synthesizes the appearance of standing or prone position MRI images by registering X-ray/CT bony anatomy with MRI soft tissue anatomy. This virtual copy provides the needed positional information without requiring actual scanning in those positions.
3Adaptability or versatility
If X-ray or CT images are used to capture bony elements in standing position, then position flexibility is achieved, but soft tissue detail is lost
Solution Approach 1:
The system segments the imaging task by assigning different modalities to different tissue types: X-ray or CT is used for bony elements where position flexibility is needed, while MRI is used for soft tissue elements where detailed information is needed. This segmentation allows each modality to perform its optimal function.
Solution Approach 2:
The system uses bony landmarks as intermediary reference points to register and align the separately acquired X-ray/CT images (standing/prone position) with MRI images (supine position). This intermediary approach enables the combination of images from different positions and modalities into a coherent virtual image that maintains anatomical accuracy.
Data Source
AI summary
A method of generating a virtual MRI image includes receiving an initial MRI image of a patient in a first position, the initial MRI image depicting at least a portion of an anatomy of the patient; receiving a plurality of images of the patient in a second position, each of the plurality of images depicting at least a plurality of bony elements within the portion of the patient's anatomy; receiving soft tissue information corresponding to at least a plurality of soft tissue elements within the portion of the patient's anatomy; segmenting the initial MRI image to identify a depiction of each of the plurality of bony elements and each of the plurality of soft tissue elements within the initial MRI image; and generating a virtual MRI image based on the MRI image, the plurality of images, and the soft tissue information.