|
|
|
|
|
|
| Terahertz Imaging Study of Dentin Caries |
| LI Yan1, LIU Qi-hang2, 3, HUANG Wei1, DUAN Tao1, CHEN Zhao-xia1, HE Ming-xia2, 3, XIONG Yu1* |
1. The First Affiliated Hospital of Army Military Medical University (Third Military Medical University)，Department of Stomatology，Chongqing 400038, China
2. State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
3. School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
|
|
|
|
|
Abstract Dental caries are closely related to pulp infection status and vitality, and the depth of caries determines the clinical treatment. However, the detection and diagnosis methods of dentin caries, such as visual examination and probe, are easily affected by subjective factors. X-ray assistive examination for caries has low sensitivity and some defects, and its reliability and effectiveness still need to be improved. Terahertz time-domain spectroscopy can image different physical parameters, which has great potential in the physical and nondestructive detection of dentin caries. This study aimed to explore terahertz spectral images of dentin caries. Experiment by transmission and reflection type scanning terahertz platform, to 15 containing dentine caries in vitro teeth grinding slice scanning, through the data of two-dimensional reconstruction, won the terahertz transmission and reflection of different parameters in the image. Terahertz images and laboratory studies of dental decay light image and X-ray image contrast, the proposed merger under light microscopy, THz image caries damage area is under evaluation.The results show that the terahertz image is consistent with the light mirror image and has higher sensitivity than the X-ray image.Under the reflection mode, the sample thickness, surface roughness and system noise greatly influence the experimental results due to the weak THz reflection signal. The image can only identify the contour of the sample but cannot be used to distinguish enamel, dentin and dental caries.In the transmission mode, both the frequency domain 1.4 THz phase difference imaging and the time domain imaging corresponding to the minimum signal can be used to distinguish enamel, dentin and dental caries, and the time imaging corresponding to the minimum signal can be used to distinguish the three, among which the time imaging corresponding to the minimum signal has the best effect.Measured under the light dentine caries damage area and terahertz time-domain signal of transmission mode for the minimum time corresponding image of dentine caries damage area matching samples Wilcoxon signed-rank and inspection. The results (p>0.05) still cannot think of two methods in the area of dentine caries loss difference, two methods of measuring the difference due to system error.Therefore, we can think that the diagnostic information such as the range and size of dentin caries can be obtained through the time-image corresponding to the minimum value of time-domain signal in the terahertz transmission mode.This study shows that terahertz imaging technology can provide a more accurate and effective diagnostic method without ionizing radiation for the early diagnosis of dentin caries and provide some morphological basis for clinical digitalization and minimally invasive caries removal.
|
|
Received: 2021-06-28
Accepted: 2021-11-05
|
|
|
|
Corresponding Authors:
XIONG Yu
E-mail: xytmmu@163.com
|
|
[1] FENG Xi-ping(冯希平). The 18th Annual Conference of Preventive Dentistry of Chinese Stomatological Association in 2018(2018年中华口腔医学会第十八次口腔预防医学学术年会)，2018.
[2] Baelum V, Hintze H, Wenzel A, et al. Community Dentistry & Oral Epidemiology, 2012, 40(3): 257.
[3] HU Yi, SU Li-ping, WANG Sheng-chao(胡 轶，苏丽萍，王胜朝). Chinese Journal of Conservative Dentistry(牙体牙髓牙周病学杂志)，2016，(9): 554.
[4] Brouwer F, Askar H, Paris S, et al. J. Dent Res.，2015, 95(2): 143.
[5] Crawley D A, Longbottom C, Cole B E. Caries Res., 2003，37(5): 352.
[6] Kamburo( gˇ )lu K, Karagöz B, Altan H. Dentomaxillofac Radiol，2019，48(2): 20180250.
[7] GAO Yan(高 岩). Oral Histopathology(口腔组织病理学). 8th ed.(第8版). Beijing: People’s Medical Publishing House(北京: 人民卫生出版社), 2020.
[8] Yookyeong Carolyn Sim，Inhee Maeng，Joo-Hiuk Son. Current Applied Physics，2009, 9(5)：946.
[9] Besinis A, van Noort R, Martin N. Dental Materials, 2014, 30(3): 249.
[10] ZHAN Hong-lei, LI Yi-cen, WANG Yan，et al(詹洪磊，李依岑，王 焱，等). Physics Experimentation(物理实验)，2019, 39(4)：23.
[11] Gerald J Wilmink, Bennett L Ibey, Thomas Tongue，et al. Journal of Biomedical Optics, 2011, 16(4): 047006.
[12] CAO Bing-hua, LI Su-zhen, CAI En-ze，et al(曹丙花，李素珍，蔡恩泽，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2020，40(9)：2686.
|
| [1] |
WAN Mei, ZHANG Jia-le, FANG Ji-yuan, LIU Jian-jun, HONG Zhi, DU Yong*. Terahertz Spectroscopy and DFT Calculations of Isonicotinamide-Glutaric Acid-Pyrazinamide Ternary Cocrystal[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3781-3787. |
| [2] |
LI Yang1, LI Xiao-qi1, YANG Jia-ying1, SUN Li-juan2, CHEN Yuan-yuan1, YU Le1, WU Jing-zhu1*. Visualisation of Starch Distribution in Corn Seeds Based on Terahertz Time-Domain Spectral Reflection Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2722-2728. |
| [3] |
ZHENG Zhi-jie1, LIN Zhen-heng1, 2*, XIE Hai-he2, NIE Yong-zhong3. The Method of Terahertz Spectral Classification and Identification for Engineering Plastics Based on Convolutional Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1387-1393. |
| [4] |
WANG Yu-ye1, 2, LI Hai-bin1, 2, JIANG Bo-zhou1, 2, GE Mei-lan1, 2, CHEN Tu-nan3, FENG Hua3, WU Bin4ZHU Jun-feng4, XU De-gang1, 2, YAO Jian-quan1, 2. Terahertz Spectroscopic Early Diagnosis of Cerebral Ischemia in Rats[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 788-794. |
| [5] |
CHU Zhi-hong1, 2, ZHANG Yi-zhu2, QU Qiu-hong3, ZHAO Jin-wu1, 2, HE Ming-xia1, 2*. Terahertz Spectral Imaging With High Spatial Resolution and High
Visibility[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 356-362. |
| [6] |
CAO Yu-qi2, KANG Xu-sheng1, 2*, CHEN Piao-yun2, XIE Chen2, YU Jie2*, HUANG Ping-jie2, HOU Di-bo2, ZHANG Guang-xin2. Research on Discrimination Method of Absorption Peak in Terahertz
Regime[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3058-3062. |
| [7] |
YI Can-can1, 2, 3, 5*, TUO Shuai1, 2, 3, TU Shan1, 2, 3, 4, ZHANG Wen-tao5. UMAP-Assisted Fuzzy C-Clustering Method for Recognition of
Terahertz Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2694-2701. |
| [8] |
MIAO Shu-guang1, SHAO Dan1*, LIU Zhong-yu2, 3, FAN Qiang1, LI Su-wen1, DING En-jie2, 3. Study on Coal-Rock Identification Method Based on Terahertz
Time-Domain Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1755-1760. |
| [9] |
CAO Yao-yao1, 2, 4, LI Xia1, BAI Jun-peng2, 4, XU Wei2, 4, NI Ying3*, DONG Chuang2, 4, ZHONG Hong-li5, LI Bin2, 4*. Study on Qualitative and Quantitative Detection of Pefloxacin and
Fleroxacin Veterinary Drugs Based on THz-TDS Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1798-1803. |
| [10] |
PAN Zhao1, LI Zong-liang1, ZHANG Zhen-wei2, WEN Yin-tang1, ZHANG Peng-yang1. Defect Detection and Analysis of Ceramic Fiber Composites Based on
THz-TDS Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1547-1552. |
| [11] |
ZHENG Zhuan-ping, LI Ai-dong, DONG Jun, ZHI Yan, GONG Jia-min. Terahertz Spectroscopic Investigation of Maleic Hydrazide Polymorphs[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1104-1108. |
| [12] |
WU Jing-zhu1, LI Xiao-qi1, SUN Li-juan2, LIU Cui-ling1, SUN Xiao-rong1, YU Le1. Advances in the Application of Terahertz Time-Domain Spectroscopy and Imaging Technology in Crop Quality Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 358-367. |
| [13] |
YAN Fang, ZHANG Jun-lin*, MAO Li-cheng, LIU Tong-hua, JIN Bo-yang. Research on Information Extraction Method of Carbohydrate Isomers Based on Terahertz Radiation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 26-30. |
| [14] |
ZHENG Zhuan-ping, LI Ai-dong, LI Chun-yan, DONG Jun. Terahertz Time-Domain Spectral Study of Paracetamol[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3660-3664. |
| [15] |
LIN Hong-mei1, CAO Qiu-hong1, ZHANG Tong-jun1, LI Zhao-xin1, HUANG Hai-qing1, LI Xue-min1, WU Bin2, ZHANG Qing-jian3, LÜ Xin-min4, LI De-hua1*. Identification of Nephrite and Imitations Based on Terahertz Time-Domain Spectroscopy and Pattern Recognition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3352-3356. |
|
|
|
|
