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    Basic Information

Technology developed: Shape-Based Fluorescence Optical Tomography for Grading of Dysplasia in Cervical Cancer Progression (TP19763665665)
Category: Technology Service/Know how
Details of Inventor(s):
Inventor Institution/Organization/Company Department Designation
IIT K Indian Institute of Technology (IIT) Kanpur
Technical Application Area: Other
If 'Other', please specify:
Electrical Engineering
Please give more details of new technical application area:
Shape-Based Fluorescence Optical Tomography for Grading of Dysplasia in Cervical Cancer Progression
Organization(s):
Indian Institute of Technology (IIT) Kanpur
Affiliated Ministry: Institution Funding (Self Supported)
Type of technology development: Indigenous
Does the technology help in replacing any import items currently
procured from outside India?
Does the technology have export potential? 1
Category of Technology developed: Immediate Deployment
Stage of Development: Prototype Level
Please describe in detail including the TRL Level:
Shape-Based Fluorescence Optical Tomography for Grading of Dysplasia in Cervical Cancer Progression

    Abstract:

Applications: Tumor detection in various parts of the body by optical tomographic methods is often a limited data problem with only back-scattered light available for analysis of the subsurface. The reconstruction challenge is to obtain reconstructions for small tumors (characteristic of early cancer stages), while facing problems of clutter in the tissue environment in addition to data SNR issues and the inherent ill-posedness of the reconstruction. This prompts the approximate-tomographic reconstruction of the shape and typical optical parameters of the affected tissue rather than a full pointwise estimate. For the reconstruction problem in cervical cancer detection, we propose an alternative level set based reconstruction approach to obtain the optical-property profile of the subsurface tissue from above-surface measurements of the back-scattered light, while keeping the number of reconstruction unknowns small. For this problem, we investigate the suitability of the diffusion model of propagation with respect to that based on the radiative transfer equation. A spatially resolved fluorescence set up in frequency domain and DC modes will be developed. The fluorescence spectra at various positions will be used to reconstruct a layered inhomogeneity in solid layered phantoms as well as cervical tissue, subsequent to working with a homogeneous liquid phantoms to verify the model used.
Advantages: Tumor detection in various parts of the body by optical tomographic methods is often a limited data problem with only back-scattered light available for analysis of the subsurface. The reconstruction challenge is to obtain reconstructions for small tumors (characteristic of early cancer stages), while facing problems of clutter in the tissue environment in addition to data SNR issues and the inherent ill-posedness of the reconstruction. This prompts the approximate-tomographic reconstruction of the shape and typical optical parameters of the affected tissue rather than a full pointwise estimate. For the reconstruction problem in cervical cancer detection, we propose an alternative level set based reconstruction approach to obtain the optical-property profile of the subsurface tissue from above-surface measurements of the back-scattered light, while keeping the number of reconstruction unknowns small. For this problem, we investigate the suitability of the diffusion model of propagation with respect to that based on the radiative transfer equation. A spatially resolved fluorescence set up in frequency domain and DC modes will be developed. The fluorescence spectra at various positions will be used to reconstruct a layered inhomogeneity in solid layered phantoms as well as cervical tissue, subsequent to working with a homogeneous liquid phantoms to verify the model used.

    Technology Inputs:

Imported Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Indigenous Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Imported Raw Materials:
Raw Materials Year ITC-HS Code
NA
Indigenous Raw Materials:
Raw Materials Year ITC-HS Code
NA
Existing R&D Facilities used:
Facilities Year ITC-HS Code
NA

   Patents & Publications:

Patents:
Filed Patents (No.) Granted Patents (No.) Year
0 0 NA
Publications:
Submitted (No.) Published (No.) Year
0 0 NA

    Commercialization Potential:

Who are the Potential Licensees?
What commercially available products address
the same problem?
Company Product Problem Addressed
Would you like to develop this invention further with
corporate research support?
No
Would you be interested in participating in cluster based
programs for commercialization research or business
planning for your invention?
No
      Submitted by: Diksha Chandel Date of Submission: 1-5-2023



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