Fluorescence Tomography Using Line Illumination for Faster Reconstruction

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Solution Overview

Problem

Traditional fluorescence imaging tomography using point sources is time and processor intensive, necessitating improved methods for reduced data acquisition and image reconstruction time while maintaining accuracy and resolution.

Innovation Solution

The use of line sources and line illumination patterns, combined with advanced image reconstruction techniques, to project light patterns onto a subject and acquire intensity values from opposite sides, enabling efficient image generation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If point sources are used for fluorescence imaging tomography, then image reconstruction accuracy is improved, but data acquisition time and processing time increase

Engineering Contradiction:
Improveimage reconstruction accuracyVSAvoiddata acquisition time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments the illumination pattern into multiple line sources arranged in a grid pattern, where each line source illuminates a specific region of the subject. This segmentation allows parallel data acquisition from multiple regions simultaneously, reducing total acquisition time while maintaining reconstruction accuracy through the combined information from all line sources.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent merges multiple line source measurements into a comprehensive image reconstruction process. By combining the fluorescence signals from multiple line sources that illuminate different regions, the system achieves complete coverage of the subject volume, maintaining quantitative accuracy while reducing the need for sequential point-by-point scanning.

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If point sources are used for fluorescence imaging tomography, then image reconstruction accuracy is improved, but processor time increases

Engineering Contradiction:
Improveimage reconstruction accuracyVSAvoidimage reconstruction speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The reconstruction process is segmented to handle data from multiple line sources independently and then combined. This allows for optimized processing of each line source dataset and parallel computation strategies, reducing overall processor time while maintaining the quantitative accuracy needed for precise fluorophore localization.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the illumination geometry parameter from point sources to line sources, which fundamentally alters the data acquisition pattern and reconstruction algorithm requirements. This parameter change enables more efficient data collection that requires less computational processing to achieve the same reconstruction quality.

Inventive Principle:
Principle #35Parameter changes

3Loss of time

If line sources are used for fluorescence imaging tomography, then data acquisition time is reduced, but illumination pattern complexity increases

Engineering Contradiction:
Improvedata acquisition timeVSAvoidillumination pattern complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The complex illumination pattern is segmented into discrete line sources arranged in a systematic grid pattern. Each line source can be independently controlled and activated, simplifying the overall system architecture despite the multiple illumination positions. This segmentation makes the complex pattern manageable through modular control of individual line sources.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The line source array system is designed to be universal, where the same physical array can generate multiple different illumination patterns by selectively activating different line sources. This multi-functionality allows the system to adapt to different imaging requirements without changing the fundamental hardware configuration, reducing overall system complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach significantly reduces data acquisition and reconstruction time while maintaining quantitative accuracy and resolution, improving signal-to-noise ratio and reconstruction quality.

Implementation Method 1

detecting light emitted from fluorophores in the subject at a different wavelength from the emission wavelength

Methodology Applied
Scientific EffectFluorescence: Fluorescence

Data Source

PatentUS20260056127A1Methods, systems, and computer readable media for fluorescence tomography image acquisition and reconstruction using line sources
Publication Date: 2026.02.26 REVVITY HEALTH SCIENCES INC
  • US20260056127A1 patent drawing
  • US20260056127A1 patent drawing
  • US20260056127A1 patent drawing

AI summary

A method for fluorescence imaging tomography includes placing at least one subject on an imaging platform. The method further includes controlling light emanating from a light source to project an illumination pattern comprising at least one line onto the at least one subject. The method further includes acquiring, at a plurality of locations on a detector, light intensity values at excitation wavelengths resulting from the projecting of the illumination pattern onto the at least one subject. The method further includes acquiring, at the plurality of locations on the detector, light intensity values at emission wavelengths resulting from a fluorescence response of fluorescent sources within the at least one subject to the projecting of the illumination pattern the at least one subject. The method further includes generating an image of the fluorescent sources within the at least one subject based on the acquired light intensity values and outputting the image.