Adaptive collimation for interventional x-ray

Patent metadata

Field	Value
Publication number	US-12350089-B2
Application number	US-202218273052-A
Country	US
Kind code	B2
Filing date	Jan 24, 2022
Priority date	Jan 27, 2021
Publication date	Jul 8, 2025
Grant date	Jul 8, 2025

Abstract

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.

First claim

The invention claimed is:

1. A system for determining a collimator adjustment, the system comprising:
a processor configured to:
receive input data including user input data including a first collimator setting for a collimator of an X-ray imaging apparatus; and
compute a second collimator setting for the collimator based the input data.

2. The system of claim 1 , wherein the processor is further configured to compute the second collimator setting by applying a trained machine learning model, or to compute the second collimator setting based on output data provided by a trained machine learning model.

3. The system of claim 2 , wherein the output data provided by the trained machine learning model includes a feature map or heat map derived from a feature map.

4. The system of claim 2 , wherein the trained machine learning model is an artificial neural network.

5. The system of claim 2 , wherein the processor is further configured to segment the feature or heat map into at least one segment and compute the second collimator setting based on the at least one segment.

6. The system of claim 1 , wherein the input data further includes at least one input image acquired by the X-ray imaging apparatus.

7. The system of claim 1 , wherein the first collimator setting includes a specification of a geometrical point, curve, or line in i) the, or a, an input image acquired by the X-ray imaging apparatus or ii) in a feature map or heat map.

8. The system of claim 1 , further comprising a user input device for capturing the user input data, the user input device including one or more of: a graphical user interface, an eye tracking device, a gesture detection device, and a voice processor.

9. The system of claim 1 , wherein the X-ray imaging apparatus is configured to assume different imaging geometries, and the processor is further configured to adjust the second collimator setting in response to the X-ray imaging apparatus changing to a different imaging geometry.

10. The system of claim 1 , wherein the second collimator setting parameter specifies a collimation tightness.

11. The system of claim 2 , further comprising a second processor configured to perform training of the machine learning model.

12. The system of claim 11 , wherein the second processor is configured to performed unsupervised training of the machine learning model.

13. A method for facilitating collimator adjustment in X-ray imaging or radiation therapy delivery, the method comprising:
receiving input data including a first collimator setting for a collimator of an X-ray imaging apparatus; and
computing a second collimator setting for the collimator based the input data.

14. A non-transitory computer-readable storage medium having stored a computer program comprising instructions, which, when being executed by a processor, cause the processor to:
receive input data including user input data including a first collimator setting for a collimator of an X-ray imaging apparatus; and
compute a second collimator setting for the collimator based the input data.

Assignees

• Koninklijke Philips Nv

Inventors

• Flexman Molly Lara
• Kruecker Jochen
• Panse Ashish Sattyavrat
• Toporek Grzegorz Andrzej

Classifications

• A61B6/467

  characterised by special input means · CPC title

• A61B6/06 Primary

  Diaphragms · CPC title

• A61N5/1036

  Leaf sequencing algorithms · CPC title

• A61N5/1045

  using a multi-leaf collimator, e.g. for intensity modulated radiation therapy or IMRT · CPC title

• A61B6/4441

  the rigid structure being a C-arm or U-arm · CPC title