17768262. DYNAMIC TISSUE IMAGERY UPDATING simplified abstract (KONINKLIJKE PHILIPS N.V.)
Contents
DYNAMIC TISSUE IMAGERY UPDATING
Organization Name
Inventor(s)
Torre Michelle Bydlon of MELROSE MA (US)
Sean Joseph Kyne of BROOKLINE MA (US)
Paul Thienphrapa of CAMBRIDGE MA (US)
DYNAMIC TISSUE IMAGERY UPDATING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17768262 titled 'DYNAMIC TISSUE IMAGERY UPDATING
Simplified Explanation: The patent application describes a controller that processes pre-operative imagery of tissue using sensors to track movement and update the imagery accordingly.
Key Features and Innovation:
- Memory stores instructions, and a processor executes them.
- Obtains pre-operative imagery in one modality.
- Registers the imagery with sensors on the tissue.
- Receives electronic signals from the sensors for position tracking.
- Computes geometry and movement of the sensors based on the signals.
- Updates the imagery to reflect tissue changes due to sensor movement.
Potential Applications: This technology could be used in medical imaging for surgical planning and monitoring tissue movement during procedures.
Problems Solved: The technology addresses the need for accurate and real-time updates to pre-operative imagery based on tissue movement.
Benefits:
- Improved surgical planning and precision.
- Real-time monitoring of tissue movement.
- Enhanced accuracy in medical imaging.
Commercial Applications: Potential commercial applications include medical device development for surgical navigation systems and imaging software for healthcare providers.
Prior Art: Researchers can explore existing patents related to medical imaging, surgical navigation, and sensor-based technologies for similar innovations.
Frequently Updated Research: Researchers are continually exploring advancements in medical imaging technology, sensor integration, and surgical navigation systems.
Questions about the Technology: 1. How does this technology improve surgical outcomes? 2. What are the potential limitations of using sensors for tissue movement tracking?
Original Abstract Submitted
A controller () includes a memory () that stores instructions and a processor () that executes the instructions. When executed, the instructions cause the controller () to implement a process that includes obtaining (S) pre-operative imagery of the tissue in a first modality, registering (S) the pre-operative imagery of the tissue in the first modality with a set of sensors (-) adhered to the tissue, and receiving (S), from the set of sensors (-), sets of electronic signals for positions of the set of sensors (-). The process also includes computing (S) geometry of the positions of the set of sensors (-) for each set of the sets of electronic signals and computing (S) movement of the set of sensors (-) based on changes in the geometry of the positions of the set of sensors (-) between sets of electronic signals from the set of sensors (-). The pre-operative imagery is updated to reflect changes in the tissue based on movement of the set of sensors (-).
