18273052. ADAPTIVE COLLIMATION FOR INTERVENTIONAL X-RAY simplified abstract (KONINKLIJKE PHILIPS N.V.)
Contents
ADAPTIVE COLLIMATION FOR INTERVENTIONAL X-RAY
Organization Name
Inventor(s)
MOLLY LARA Flexman of MELROSE MA (US)
JOCHEN Kruecker of ANDOVER MA (US)
ASHISH SATTYAVRAT Panse of BURLINGTON MA (US)
GRZEGORZ ANDRZEJ Toporek of CAMBRIDGE MA (US)
ADAPTIVE COLLIMATION FOR INTERVENTIONAL X-RAY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18273052 titled 'ADAPTIVE COLLIMATION FOR INTERVENTIONAL X-RAY
Simplified Explanation: The patent application describes a system and method for adjusting collimators in X-ray imaging or radiation therapy delivery using input data and machine learning.
Key Features and Innovation:
- System facilitates collimator adjustment in X-ray imaging or radiation therapy delivery.
- Input interface receives input data including an input image and user input data with collimator settings.
- Collimator setting estimator computes a complemented collimator setting based on the input data.
- Machine learning is preferably used in the system.
Potential Applications: This technology can be applied in medical imaging facilities, radiation therapy centers, and other healthcare settings where precise collimator adjustments are crucial.
Problems Solved: The system addresses the challenge of accurately adjusting collimators in X-ray imaging and radiation therapy, ensuring optimal treatment delivery and imaging quality.
Benefits:
- Improved accuracy in collimator adjustments.
- Enhanced efficiency in X-ray imaging and radiation therapy.
- Potential for better patient outcomes due to precise treatment delivery.
Commercial Applications: Title: Advanced Collimator Adjustment System for Medical Imaging This technology can be commercialized by medical equipment manufacturers, healthcare facilities, and research institutions to enhance the precision and effectiveness of X-ray imaging and radiation therapy procedures.
Prior Art: Readers can explore prior patents related to collimator adjustment systems in medical imaging and radiation therapy to understand the evolution of this technology.
Frequently Updated Research: Researchers may find updated studies on machine learning applications in medical imaging and radiation therapy for further insights into the advancements in this field.
Questions about Collimator Adjustment System: 1. How does the system ensure accurate collimator adjustments in X-ray imaging and radiation therapy? 2. What are the potential implications of using machine learning in collimator adjustment systems for healthcare facilities?
Original Abstract Submitted
A system (SYS) and related method for facilitating collimator adjustment in X-ray imaging or a radiation therapy delivery. The system comprises an input interface (IN) for receiving input data including i) an input image and/or ii) user input data including a partial collimator setting for a collimator (COL) of an X-ray imaging apparatus (IA). A collimator setting estimator (CSE) of the system computes a complemented collimator setting for the collimator based the input data. Preferably, the system uses machine learning.
