Session Index

Biophotonics and Biomedical Imaging

Biophotonics and Biomedical Imaging VI
Saturday, Dec. 4, 2021  10:45-12:15
Presider: Modeling and AI for Biomedical Applications: Prof. Shean-Jen Chen & Prof. Po-Jui Chiang
Room: 303b
10:45 - 11:00
Manuscript ID.  0161
Paper No.  2021-SAT-S0606-O001
I-CHIEH HSU Code-aided automatic determination of the cardiac function of poikilothermic zebrafish

We develop computer-code assisted segmentation and outlining of the sectional time-lapse images acquired from a beating heart of larval zebrafish for automatic determination of the cardiac function zebrafish at different temperature. The approach will facilitate using zebrafish models for fundamental cardiac research and screening drugs of cardiac toxicity.

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11:00 - 11:15
Manuscript ID.  0322
Paper No.  2021-SAT-S0606-O002
Yu-Jiun Chen Migraine classification by machine learning for functional near-infrared spectroscopy with mental arithmetic task
Chia-Wei Sun;Wei-Ta Chen;Yu-Jiun Chen;Chieh-Hsun Tsai

This research is expected to use near-infrared spectroscopy during the mental stress task to measure the changes of the blood oxygen changes in the prefrontal cortex of 13 healthy subjects, 9 chronic migraine patients, and 12 medication-overuse headaches patients. The blood oxygen information was processed and then fed into machine learning. The sensitivity of chronic migraine and specificity of medication-overuse headache reached 100 %, and the specificity of chronic migraine and sensitivity of medication-overuse headache reached 75 %. The results prove that functional near-infrared spectroscopy combines with machine learning is feasible for the migraine classification.

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11:15 - 11:30
Manuscript ID.  0366
Paper No.  2021-SAT-S0606-O003
Chia Hsuan Lu Optical sarcopenia diagnosis based on artificial intelligence
Chia Hsuan Lu;Po Yuan chen;Rui Cheng Zeng;Yu Pin Chen;Chia Wei Sun

n this research, we apply a NIRS imaging system to take images and a deep learning model with X-ray images to find the relation between thigh muscle and diagnosis of sarcopenia.The accuracy of our results prove the significant relation and the feasibility of diagnosing sarcopenia with deep learning models. Our NIRS system is able to take photos of thinner body parts such as wrists. This research explores X-ray images in sarcopenia as well as a method to take images through NIRS and will combine both as the future work.

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11:30 - 11:45
Manuscript ID.  0540
Paper No.  2021-SAT-S0606-O004
KAI-WEN YU Modify optical signal and medium to analyze the transparency of the sclera via PTSD simulation

We employed the pseudospectral time-domain (PSTD) method to simulate the macroscopic scattering phenomenon. A series of circular dielectric cylinders were used for modeling, and a wide range of light sources as input to operate. In this study, we modified the optical signal and medium to explore the light through the sclera medium.

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11:45 - 12:00
Manuscript ID.  0442
Paper No.  2021-SAT-S0606-O005
Yu-Xiang Chen Simulation of photonic crystal structure on biological surfaces via FDTD method
Yu-Xiang Chen;Snow H. Tseng

The finite-difference time-domain (FDTD) method is employed to simulate the structure of the chameleon skin, which is composed of nanocrystals, that is, photonic crystals. By changing the arrangement of the iridophore cells, we analyze the influence of the structural material properties on the color of the biological surface. Furthermore, we compare the difference between the simulation results and the real biological spectrum and further discuss the error and accuracy.

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12:00 - 12:15
Manuscript ID.  0519
Paper No.  2021-SAT-S0606-O006
CHIEN-YUAN HAN Constructing a Depth-resolved Mueller Matrix Imaging System with Structured Illumination Technique

The photon path length can be controlled thorough the spatial frequency domain approach. Based on this principle, we developed a dual wavelength Mueller matrix imaging system with structured illumination technique and demonstrated depth-resolved polarization feature images of lipoplus and pork loin.