Multi-touch Gesture Recognition for Medical Image Slice Navigation
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Solution Overview
Problem
Medical imaging systems in windowing environments face challenges in efficiently manipulating and navigating through image slices using conventional single-touch input methods, which can be cumbersome for detailed analysis.
Innovation Solution
Implementing a multi-touch user input system that recognizes gestures based on the number of fingers to perform actions such as scrolling, adjusting brightness, and combining image slices, allowing for intuitive manipulation of image slices through predefined gestures and modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional single-touch input methods are used for manipulating image slices, then the system is simple to implement, but the ease of operation deteriorates due to cumbersome interaction requirements
Solution Approach 1:
The patent replaces conventional single-touch mechanical input with multi-touch gesture-based input. The system detects and interprets gestures performed by multiple fingers simultaneously on a touch screen, transforming manual manipulation into intuitive gesture-based control for image slice navigation and manipulation.
Solution Approach 2:
The patent implements a universal gesture recognition system that can interpret multiple types of gestures (single finger, multiple fingers, combinations) to perform diverse functions including scrolling, brightness adjustment, contrast modification, and image combination. This multi-functional approach consolidates multiple control mechanisms into a single intuitive interface.
2Productivity
If detailed image analysis is performed using conventional methods, then measurement precision is maintained, but the time required for analysis increases
Solution Approach 1:
The patent performs preliminary actions by automatically adjusting image parameters (brightness, contrast) and preparing multiple image slices for comparison based on gesture inputs. This pre-processing enables analysts to quickly navigate and prepare images before detailed examination, reducing overall analysis time while maintaining precision.
Solution Approach 2:
The patent enables continuous and fluid interaction through multi-touch gestures, allowing analysts to perform multiple operations (scrolling, adjusting parameters, comparing images) without interrupting their workflow. The seamless gesture-based control maintains analytical momentum and reduces idle time between operations.
3Ease of operation
If multiple image manipulations are performed sequentially using conventional input, then manufacturing precision of analysis is maintained, but the ease of operation deteriorates due to complex interaction sequences
Solution Approach 1:
The patent merges multiple image manipulation functions into a unified gesture-based interface. Different combinations of fingers and gesture types correspond to different manipulation operations, allowing multiple actions to be performed through intuitive hand movements rather than complex sequential commands. This consolidation improves both ease of operation and productivity.
Data Source
AI summary
Systems, methods and articles of manufacture are disclosed for presenting image slices in a windowing environment based on multi-touch user input, the image slices generated by an imaging system. A series of image slices may be provided that represent a view of an object. A gesture may be defined based on at least a count of fingers represented in multi-touch user input. Further, the defined gesture may be associated with a corresponding action for manipulating an image slice. Multi-touch user input may be received. Upon determining that the received multi-touch user input includes the defined gesture, the corresponding action may be performed on an image slice of the series to generate a resultant image slice. The resultant image slice may be output via an output device.