Dielectric Encoding of Medical Images for Clinical Interpretation
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Solution Overview
Problem
Current microwave imaging techniques produce unfamiliar dielectric images that require additional training and specialized hardware or software for clinicians and diagnosticians, making them costly and inefficient for diagnosis.
Innovation Solution
A microwave image processing system that converts dielectric images into familiar formats like Hounsfield encoded images or MRI intensity encoded images, using a computing environment to determine permittivity and conductivity values and manipulate them into DICOM format for easier interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dielectric images are produced using microwave imaging techniques, then complete imaging of the object is achieved, but the images are unfamiliar to clinicians and diagnosticians requiring additional training
Solution Approach 1:
The patent creates encoded dielectric images that replicate the visual characteristics of familiar medical imaging formats (CT, MRI, ultrasound) while preserving the underlying diagnostic information from microwave imaging data. This allows clinicians to interpret microwave images using their existing expertise without requiring additional training.
Solution Approach 2:
The patent transforms the raw dielectric image data by applying encoding algorithms that modify the visual parameters (brightness, contrast, intensity distribution) to match the statistical and visual properties of conventional medical images, making them familiar to clinicians while retaining diagnostic accuracy.
2Reliability
If specialized hardware or software is used to display dielectric images, then accurate diagnosis is enabled, but costs increase
Solution Approach 1:
The patent encodes dielectric images into universal formats that can be displayed on standard medical imaging workstations and integrated into existing Picture Archiving and Communication Systems (PACS), eliminating the need for specialized hardware while maintaining diagnostic accuracy through familiar visual representations.
3Reliability
If additional training is required for clinicians to interpret dielectric images, then accurate diagnosis is achieved, but time consumption increases
Solution Approach 1:
By creating encoded images that visually replicate familiar medical imaging formats, the patent eliminates the need for additional training time while preserving diagnostic accuracy, as clinicians can immediately interpret the images using their existing skills.
4Loss of information
If dielectric images are used directly, then complete scattering information is preserved, but the images require unfamiliar interpretation methods
Solution Approach 1:
The patent applies encoding transformations that modify the visual parameters of dielectric images to match familiar medical imaging formats while preserving the underlying scattering information through carefully designed encoding algorithms that maintain the relationship between image intensity and tissue properties.
Data Source
AI summary
Microwave imaging apparatus and method for completely imaging the human body (or portions thereof) in sufficient detail to render a timely and accurate medical diagnosis by trained medical professionals. The data conversion processes presented will not require physicians and radiologists to learn to use image data in a format they are not familiar with. Hounsfield encoded and/or MRI intensity encoded medical images in the DICOM format are provided from reconstructed dielectric images obtained from raw scattering data. This allows for the exchange of information created from microwave imaging techniques to be implemented with existing diagnostic tools and analysis techniques. Furthermore, methods are presented for converting image data with Hounsfield encoded units to an image with dielectric encoded units.