Laser Speckle Fiberscope for Detection of Extent of Cancerous Tissue and Methods thereof

Technology: Laser Speckle Fiberscope ;

Industry: Medical & Surgical Device; Applications: Colonoscopy, Bronchoscopy, Vascular Fibroscopy, etc.;

Market: The global fiberscope market size is projected at a CAGR of 8.56% during period of 2022-2027.

In present era, Cancer has become a major health problem & the main factor during surgical removal as well as biopsy procedures is the precise sampling of the tumor areas.
Laser speckle contrast imaging(LSCI) has been used for analyzing tissue perfusion qualitatively, & the major challenge herein is the susceptibility of the LSCI to sample & experimental parameters. A few prior arts techniques have been discussed however unable to provide solutions as discussed in the present invention.
Hence, there is a need to address above challenges in effective manner.

Present invention describes a laser fiberscope device for assessment of tissue stiffness and tissue blood flow in-vivo.
The claimed device further includes a laser light source, a position sensor controller, a microscope objective, a charge coupled device (CCD) camera with zoom lens and a personal computer (PC).
The computing device comprises a machine learning algorithm configured to perform analysis on the acquired speckle image to assess tissue stiffness or tissue blood flow or both.
Said device is configured to be introduced via an endoscope & the processing the image using speckle image analysis.
Further, the proposed invention is also described a method of simultaneously assessing tissue stiffness & tissue blood flow in-vivo.
The process is shown in figure 2 in step by step and the experimental setup including results are shown in Figs. 3 & 4.

Technical Perspective:

A static scattering coefficient of tissues is estimated independent of flow velocities using a machine learning model.
The tissue blood flow rate is calculated using dynamic scattering.

Industrial Perspective:

The device and system is the integration of illumination with lensed image fiber that makes the entire system cost effective & may open up avenues for integration of other optical modalities for better tissue discrimination.

Prof. Sujatha N

Department of Applied Mechanics and Biomedical Engineering,

TRL-4

Proof of Concept, Tested & Validated

Technology Transfer