Multiple Scattering Tracing Algorithm for Deep Tissue Imaging
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Solution Overview
Problem
Existing methods for imaging objects deep within scattering media, such as biological tissues, are limited by multiple scattering, which current technologies like the CLASS method fail to effectively address by not utilizing multiply scattered waves.
Innovation Solution
The proposed solution involves using a multiple scattering tracing (MST) algorithm based on a time-resolved reflection matrix to trace and correct multiple scattering trajectories within the scattering medium, allowing for the reconstruction and correction of internal target images deep inside the medium.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only ballistic waves are selectively used to suppress multiple scattering, then image quality is improved, but the imaging depth is limited
Solution Approach 1:
The patent converts the harmful multiple scattering effect into a beneficial imaging mechanism by developing the multiple scattering tracing algorithm that specifically utilizes multiply scattered waves to reconstruct deep tissue images, transforming what was previously considered noise or degradation into the primary imaging signal
Solution Approach 2:
The patent changes the parameter selection from exclusively using ballistic waves to utilizing multiple scattering components by introducing the multiple scattering tracing algorithm that processes time-resolved reflection matrix data to trace and reconstruct photon paths through multiple scattering events
2Measurement precision
If the CLASS method is used to correct aberration, then phase correction is improved, but multiple scattering components are not utilized
Solution Approach 1:
The patent extends the functionality of reflection matrix microscopy by making it capable of processing both ballistic waves and multiply scattered waves through the multiple scattering tracing algorithm, allowing a single system to perform both traditional aberration correction and new multiple scattering-based deep imaging
3Measurement precision
If additional equipment is used for deep tissue imaging, then imaging capability is improved, but device complexity increases
Solution Approach 1:
The patent enables the existing reflection matrix microscopy system to perform deep tissue imaging by itself through software-based multiple scattering tracing algorithms, without requiring additional optical components, detectors, or hardware modifications
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 enables the acquisition of high-depth, high-resolution images without additional equipment, reducing data measurement time and allowing for label-free imaging suitable for in-vivo applications and various biomedical uses.
Implementation Method 1
multiple scattering caused by the structure of the tissue
Implementation Method 2
measures the intensity and phase of the electric field of reflected light corresponding to each incident beam (light) using the interference phenomenon of light
Data Source
AI summary
Disclosed are an imaging device for correcting and reconstructing a target image in a scattering medium using a multiple scattering tracing algorithm based on a reflection matrix and a method thereof. According to an embodiment of the present disclosure, the imaging device corrects and reconstructs an image of a target object located deep inside a scattering medium such as a biological tissue by tracing a multiple scattering trajectory using a time-resolved reflection matrix obtained from an imaging device that uses a time-resolved light source and then correcting it.


