Medical Image Resampling for Uneven Slice Interval Modeling
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Solution Overview
Problem
Existing image data for medical procedures often includes uneven intervals, leading to inaccurate modeling and potential delays or cancellations of medical procedures due to the need for additional imaging, which can increase patient radiation exposure.
Innovation Solution
A system and method for resampling image data by selecting a first section with even intervals, identifying a second section with uneven intervals, and adding, deleting, or interpolating images to achieve a combined section with uniform intervals, allowing for accurate 3D modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image data with uneven intervals is used directly for modeling, then the modeling process can proceed without additional processing, but the accuracy of the 3D model and sufficiency of data are compromised
Solution Approach 1:
The system performs preliminary resampling of image data with uneven intervals before 3D modeling, identifying sections with uneven intervals and adding interpolated images to create evenly spaced sections. This preliminary processing ensures modeling accuracy is not compromised while maintaining a streamlined workflow.
Solution Approach 2:
Interpolated images serve as intermediary elements between originally spaced images. The system generates these intermediate images to bridge gaps in unevenly spaced data, enabling accurate 3D reconstruction without requiring additional patient imaging.
2Quantity of substance
If additional imaging sessions are conducted to obtain sufficient data, then data sufficiency is improved, but patient radiation exposure increases
Solution Approach 1:
The system creates copies of existing image data through interpolation algorithms, generating synthetic intermediate images that fill gaps in the dataset. This approach increases image data quantity without requiring additional physical imaging sessions, thereby avoiding additional radiation exposure to the patient.
Solution Approach 2:
The system changes the spatial sampling parameters of existing images by interpolating new images at intermediate positions. This parameter transformation allows the system to produce evenly spaced image sections from unevenly spaced original data, ensuring data sufficiency for 3D modeling without additional radiation.
3Reliability
If image data with uneven intervals is used, then processing time is reduced, but procedure reliability is compromised due to potential delays or cancellations
Solution Approach 1:
The system performs resampling processing before 3D modeling to ensure data quality requirements are met, identifying and correcting uneven interval sections in advance. This preliminary action prevents procedure delays or cancellations during the modeling phase, thereby improving procedure reliability.
Solution Approach 2:
The system implements a feedback mechanism that automatically detects uneven intervals in image data and triggers appropriate resampling processing. This closed-loop approach ensures data quality requirements are met without manual intervention, maintaining procedure reliability while minimizing processing time.
Data Source
AI summary
Devices, systems, methods, and computer program products for performing medical procedures are disclosed herein. In some embodiments, a system for processing medical image data is configured to receive image data of a patient's anatomy. The system can select a first section of the image data, each image interval in the first section having an interval size within a predetermined size range. The system can identify a second section of the image data including at least one image interval having an interval size outside the predetermined size range. The system can generate a resampled second section by adding, deleting, and/or resampling one or more interpolated images in the second section, such that each image interval in the resampled second section has an interval size within the predetermined size range. The system can output a combined section including the first section and the resampled second section.