Volume Rendering Subsurface Scattering for Realistic Medical Imaging
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Solution Overview
Problem
Medical imaging technologies face limitations in realistically expressing objects, particularly with black-and-white images that fail to replicate the color and depth of internal tissues effectively.
Innovation Solution
An image processing apparatus and method that generates volume data and applies a subsurface scattering effect using virtual lighting information, incorporating a volume rendering unit with first and second surface point detectors, distance calculators, and final image producers to determine attenuation constants from sum-of-Gaussian functions for R, G, and B channels, enhancing color representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If black-and-white images are used for medical imaging, then image processing complexity is reduced and processing speed is improved, but the ability to replicate realistic color expression of internal tissues deteriorates
Solution Approach 1:
The patent applies color mapping techniques to transform black-and-white medical images into color images that realistically represent internal tissues. The system uses attenuation constant graphs and sum-of-Gaussian functions to calculate appropriate color values for each pixel, enabling realistic color expression while maintaining the structural information from the original grayscale images.
Solution Approach 2:
The patent transforms the image from grayscale to color by changing the parameter space from single-channel intensity to multi-channel color information. The system calculates attenuation constants for R, G, and B channels separately using sum-of-Gaussian functions, then combines them to produce the final color image with realistic tissue representation.
2Ease of manufacture
If volume rendering with subsurface scattering is applied to produce realistic color images, then color representation accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent segments the color rendering process into independent R, G, and B channel calculations. Each channel has its own attenuation constant graph and sum-of-Gaussian function, allowing parallel processing and optimizing computational efficiency. The surface point detection and distance calculation are also performed separately for each channel.
Solution Approach 2:
The patent pre-calculates attenuation constant graphs and sum-of-Gaussian functions before the actual image rendering. These pre-computed tables store attenuation constants for various distances, which are then quickly retrieved and applied during image processing, significantly reducing real-time computational complexity.
3Manufacturing precision
If attenuation constants are calculated using sum-of-Gaussian functions for each pixel, then subsurface scattering effect accuracy is improved, but processing time increases
Solution Approach 1:
The patent pre-computes attenuation constant graphs and sum-of-Gaussian functions for various distances before image rendering. These pre-calculated tables are stored and quickly queried during processing, replacing the need to calculate attenuation constants in real-time for each pixel, thus reducing processing time while maintaining accuracy.
Solution Approach 2:
The patent transforms the computational approach by changing from calculating attenuation constants from scratch for each pixel to retrieving pre-computed attenuation constants from lookup tables. This parameter change in the computational method maintains the accuracy of subsurface scattering effects while dramatically reducing processing time.
Data Source
AI summary
Disclosed herein are an image processing apparatus and an image processing method for realistically expressing an object. The image processing apparatus includes a volume data generator configured to generate volume data using received signals of an object, and a volume rendering unit configured to perform volume rendering using the volume data to acquire a projection image, and apply a subsurface scattering effect according to virtual lighting information, to the projection image with respect to a user's viewpoint to produce a final image.