Automatic Exposure Control Setup for CBCT Noise Factor Selection

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Solution Overview

Problem

There is a need for an operator interface utility that relates patient dose to adequate image quality for diagnostic tasks in CBCT imaging, particularly for specific anatomical locations like extremities, arms, hands, legs, feet, breast, and head, to achieve a balance between low patient dose and diagnostic image quality.

Innovation Solution

A method for exposure control setup in CBCT and CT imaging that involves obtaining a reconstructed image volume, displaying image slices with different noise factors, accepting operator instructions to select the appropriate noise factor, and configuring the automatic exposure control accordingly, using noise factor settings to adjust tube current and exposure time based on anatomy size and technique selection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If automatic exposure control settings are optimized for low patient dose, then patient radiation exposure is reduced, but image quality may deteriorate

Engineering Contradiction:
Improvepatient radiation doseVSAvoidimage quality
Core Design Contradiction:
Object-affected harmful factorsVSManufacturing precision

Solution Approach 1:

The system performs preliminary actions by acquiring scout images before the actual CT scan to determine patient anatomy characteristics. These preliminary measurements are used to pre-calculate optimal exposure settings that balance dose reduction with image quality requirements, allowing the AEC system to be configured in advance with appropriate noise factors and exposure parameters tailored to the specific patient and anatomical region.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by using scout images to measure patient size and anatomy, then feeding this information back to automatically adjust exposure parameters. The AEC system continuously monitors image quality metrics and noise levels, adjusting tube current and exposure time dynamically to maintain diagnostic image quality while minimizing radiation dose. The operator can also provide feedback by selecting preferred noise levels from multiple rendering options.

Inventive Principle:
Principle #23Feedback

2Manufacturing precision

If exposure parameters are increased to improve image quality, then diagnostic accuracy is enhanced, but patient radiation dose increases

Engineering Contradiction:
Improvediagnostic image qualityVSAvoidradiation dose
Core Design Contradiction:
Manufacturing precisionVSObject-affected harmful factors

Solution Approach 1:

The system employs parameter changes by allowing dynamic adjustment of noise factors and exposure parameters based on patient-specific anatomy and diagnostic requirements. Instead of using fixed exposure settings, the AEC system modifies tube current, exposure time, and reconstruction parameters to achieve optimal image quality at the lowest possible dose. The operator can select from multiple noise factor options to fine-tune the balance between image quality and dose.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system applies local quality principles by tailoring exposure settings to specific anatomical regions and patient characteristics. Different body parts (head, chest, abdomen, extremities) receive customized exposure parameters based on their specific attenuation properties and diagnostic requirements. The AEC system adjusts parameters locally for different regions within the scan volume, optimizing image quality where needed while reducing dose in less critical areas.

Inventive Principle:
Principle #3Local quality

3Adaptability or versatility

If multiple rendering options with different noise factors are provided, then operator flexibility and image quality optimization are improved, but system complexity increases

Engineering Contradiction:
Improveoperator flexibility in noise factor selectionVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by pre-calculating multiple rendering options with different noise factors during the setup phase. Instead of requiring complex real-time calculations during scanning, the system prepares a set of predetermined noise factor options based on scout image analysis and patient anatomy. This allows the operator to select from pre-computed options without adding significant complexity to the scanning process itself.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses copying by generating multiple virtual renderings of the same scan data with different noise factors applied. Rather than requiring multiple physical scans or complex processing pipelines, the system creates copies of the reconstructed image data with varying noise characteristics. This approach provides operator flexibility while maintaining system simplicity, as all renderings are derived from the same acquired data.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS11452491B2Automatic exposure control setup
Publication Date: 2022.09.27 CARESTREAM HEALTH INC
  • US11452491B2 patent drawing
  • US11452491B2 patent drawing
  • US11452491B2 patent drawing

AI summary

A method for exposure control setup for a volume radiographic imaging apparatus obtains a reconstructed image volume of a subject acquired from the imaging apparatus using a set of x-ray technique settings. An image slice from the reconstructed image volume displays in at least a first rendering having a first corresponding noise factor and a second rendering having a second corresponding noise factor, different from the first noise factor. An operator instruction selects one of the at least first and second renderings and stores the corresponding noise factor for the set of x-ray technique settings. An automatic exposure control of the imaging apparatus is configured according to the stored noise factor.