3D bladder models for fluorescence imaging on bimodal system
Elizaveta Kozlikina
1, 2
,
Daniil M Kustov
1
,
Nina Kalyagina
2, 3
,
Maxim Loshchenov
1, 2
,
Marine Amouroux
4
,
Kanamat Efendiev
1, 2
,
Alexander Borodkin
1, 2
,
Daniel Yagudaev
5
,
Christian Daul
4
,
Walter Blondel
4
4
Univ. de Lorraine, CNRS (France)
|
5
Central Clinical Hospital, Russian Railways-Medicine (Russian Federation)
|
Publication type: Proceedings Article
Publication date: 2022-05-19
Abstract
For a favorable treatment result, early diagnosis of pathological cancerous micro-areas with their subsequent removal is highly important and can be achieved by the development of new modeling techniques and conducting relevant experiments. Various models of the bladder can be developed and applied to provide a platform for studying, processing and improving the signals received from various video systems. Here, in order to study visualization properties at fluorescence endoscopy, 3D optical phantoms of urinary bladder have been developed. The phantoms simulated optical properties of the bladder wall, including localized areas that represent tumor tissues and contained PpIX photosensitizer at various concentrations for fluorescence "diagnostics". To perform bimodal fluorescence imaging, a two-channel video fluorescence system was used. First, intraoperative images of the bladder wall were obtained in a patient with bladder cancer. A video system was used to reveal and image pathological areas with increased fluorescence intensity. Fluorescence indices in tumor tissue were recorded and corresponded to different concentrations of PpIX photosensitizer. Then, a bimodal fluorescence imaging was performed on 3D phantoms. The obtained images and fluorescence intensity measurements showed the ability of the video fluorescence system to register bladder wall structures and accumulated in them photosensitizers in concentrations from 0.25 to 20 mg/kg. The developed models can serve as a useful instrument for test measurements for constructing multimodal mosaic panoramic images of the bladder surface. This will help to advance in solving problems of endoscopic image processing using bimodal imaging, which uses diagnostic (fluorescence) and color channels.
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Kozlikina E. et al. 3D bladder models for fluorescence imaging on bimodal system // Tissue Optics and Photonics II. 2022.
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Kozlikina E., Kustov D. M., Kalyagina N., Loshchenov M., Amouroux M., Efendiev K., Borodkin A., Yagudaev D., Daul C., Blondel W. 3D bladder models for fluorescence imaging on bimodal system // Tissue Optics and Photonics II. 2022.
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TY - CPAPER
DO - 10.1117/12.2624497
UR - https://doi.org/10.1117/12.2624497
TI - 3D bladder models for fluorescence imaging on bimodal system
T2 - Tissue Optics and Photonics II
AU - Kozlikina, Elizaveta
AU - Kustov, Daniil M
AU - Kalyagina, Nina
AU - Loshchenov, Maxim
AU - Amouroux, Marine
AU - Efendiev, Kanamat
AU - Borodkin, Alexander
AU - Yagudaev, Daniel
AU - Daul, Christian
AU - Blondel, Walter
PY - 2022
DA - 2022/05/19
PB - SPIE-Intl Soc Optical Eng
ER -
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@inproceedings{2022_Kozlikina,
author = {Elizaveta Kozlikina and Daniil M Kustov and Nina Kalyagina and Maxim Loshchenov and Marine Amouroux and Kanamat Efendiev and Alexander Borodkin and Daniel Yagudaev and Christian Daul and Walter Blondel},
title = {3D bladder models for fluorescence imaging on bimodal system},
year = {2022},
month = {may},
publisher = {SPIE-Intl Soc Optical Eng}
}