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Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation.

Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
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    This study introduces virtual indigo carmine (IC) dye-sprayed images for 3D stomach reconstruction, eliminating the need for actual dye application during endoscopy. This method enhances structure-from-motion results for improved lesion localization and patient comfort.

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    Area of Science:

    • Medical Imaging
    • Computer Vision
    • Gastroenterology

    Background:

    • Gastric endoscopy aids in diagnosing stomach lesions, requiring accurate lesion localization within the overall stomach structure.
    • Previous methods used indigo carmine (IC) dye with structure-from-motion (SfM) for 3D stomach reconstruction, enhancing texture for improved feature matching.
    • IC dye application is time-consuming, costly, and inconvenient for patients and clinicians.

    Purpose of the Study:

    • To develop a novel method for whole stomach 3D reconstruction without IC dye application.
    • To generate virtual IC-sprayed (VIC) images using image-to-image style translation.
    • To optimize VIC image generation by investigating color channel selection for improved SfM results.

    Main Methods:

    • Image-to-image style translation was employed to generate VIC images from unpaired real no-IC and IC-sprayed endoscopic images.
    • The study investigated various input and output color channel combinations for VIC image generation.
    • The effectiveness of generated VIC images was evaluated using a structure-from-motion (SfM) pipeline for 3D stomach reconstruction.

    Main Results:

    • A novel method for generating virtual IC-sprayed images was successfully developed, bypassing the need for physical dye application.
    • The optimal color channel strategy involved translating no-IC green-channel images to IC-sprayed red-channel images.
    • This optimized VIC image generation significantly improved the results of the SfM pipeline for whole stomach 3D reconstruction.

    Conclusions:

    • Virtual IC-sprayed images offer a viable, dye-free alternative for 3D stomach reconstruction in clinical settings.
    • The proposed image-to-image translation technique effectively enhances texture for SfM, improving reconstruction accuracy.
    • This approach reduces procedural time, cost, and patient discomfort associated with traditional IC dye use in gastric endoscopy.