3D Image Alignment System for Multimodality Fusion
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Solution Overview
Problem
Current scanning systems face challenges in accurately and efficiently analyzing images from different times and modalities, requiring extensive training and causing errors due to variations in image quality, incomplete data capture, and the need for immobilization of objects, which complicates multimodality integration and fusion.
Innovation Solution
A scanning system and display that uses a combination of surface and deep diagnostic scanning devices, along with data analysis software capable of real-time comparison and alignment of images, allowing for one-to-one correspondence between surface and underlying structures, and enabling clinical correlation, image fusion, and motion correction without the need for immobilization or consistent scanner positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual observation and analysis of scans by physicians is used, then clinical judgment and experience can be applied, but the process is time-consuming and prone to human error
Solution Approach 1:
The patent replaces manual visual inspection by physicians with automated computer-based image analysis systems. The system uses algorithms to automatically detect, segment, and compare anatomical structures across multiple imaging modalities, substituting human mechanical observation with automated computational analysis that provides consistent, rapid, and objective measurements without fatigue or subjective bias
Solution Approach 2:
The patent introduces an intermediate automated processing layer between image acquisition and clinical interpretation. This intermediary system performs preliminary analysis, alignment, and comparison of images from different modalities, generating structured measurements and anomaly detections that assist physicians rather than replacing them entirely, thereby reducing their workload while maintaining diagnostic accuracy
2Loss of information
If multiple imaging modalities are used to capture comprehensive data, then diagnostic information is improved, but integration and alignment of images from different modalities becomes complex and error-prone
Solution Approach 1:
The patent implements a universal coordinate system and standardized processing pipeline that can handle multiple imaging modalities (CT, MRI, ultrasound, etc.) through a single integrated platform. The system uses modality-agnostic feature extraction and alignment algorithms that work across different imaging types, allowing comprehensive multi-modal data collection while managing integration complexity through unified processing protocols
Solution Approach 2:
The patent transforms images from different modalities into a common parameter space using standardized coordinate systems, normalization procedures, and feature representations. By converting diverse imaging data into comparable parameter formats, the system enables accurate alignment and fusion of multi-modal images while reducing the complexity of direct multi-format integration
3Measurement precision
If objects are immobilized during scanning to ensure consistent positioning, then alignment accuracy is improved, but the procedure becomes more complex and time-consuming
Solution Approach 1:
The patent incorporates preliminary alignment markers and reference features that are attached or identified before scanning begins. These pre-positioned landmarks enable automated registration and alignment algorithms to accurately match images from different modalities and time points without requiring strict immobilization during the scanning process, thereby maintaining alignment precision while simplifying patient positioning
Solution Approach 2:
The patent replaces mechanical immobilization constraints with computational alignment methods. Instead of physically restraining patients to maintain positioning, the system uses image processing algorithms, feature matching, and registration techniques to achieve accurate alignment post-acquisition, substituting mechanical positioning control with software-based correction
4Measurement precision
If extensive training is provided to technicians for proper image analysis, then analysis quality is improved, but the requirement for highly trained personnel increases system complexity and cost
Solution Approach 1:
The patent implements self-correcting algorithms and automated quality control features that reduce dependence on highly trained personnel. The system automatically detects and corrects common errors, validates data quality, and provides built-in guidance for proper image acquisition and analysis, enabling technicians with minimal training to achieve high-quality results through the system's embedded intelligence and error mitigation capabilities
Data Source
AI summary
The subject invention is a scanning system and display and more particularly a scanning system and display for detecting and quantifying similarities or differences between stored data and data collected from a scan. The system operates to perform surface scans and/or deep scans or a combination thereof and utilizes a method or process that decreases the time required for calculating a pose estimate thus increasing its performance thereby making it more practical for many applications that require real-time operations. In a preferred embodiment of the invention the system comprises one or more sensing components for scanning and measuring various surface or internal features of an object and determines differences between data obtained from two or more scans. Preferably the system can operate to scan numerous objects including mechanical objects, biological objects or medical conditions, artifacts, geographical objects, agricultural objects, or used in conjunction with robotic manufacturing systems, robotic surgical systems, aircraft systems, and marine applications.