Nondestructive assessment of the severity of occlusal caries lesions with near-infrared imaging at 1310 nm
Nondestructive assessment of the severity of occlusal caries lesions with near-infrared imaging at 1310 nm
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DOI：
10.1117/1.3475959
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发表时间：
2010-07-01
影响因子：
3.5
通讯作者：
Fried, Daniel
中科院分区：
文献类型：
--
作者：
Lee, Chulsung;Lee, Dustin;Fried, Daniel
牙釉质在1310 nm处的近红外（NIR）中的高透明度可用于在不使用电离辐射的情况下对龋齿进行成像。本研究的目的是确定是否从透射和反射的近红外成像中获得的病变对比度可以用于估计病变的严重程度。研究了两种近红外成像探测器技术：一种新的基于Ge增强型互补金属氧化物半导体（CMOS）的近红外成像相机和一种InGaAs焦平面阵列（FPA）。自然咬合面龋损用两个相机在1310 nm下成像，并计算健全和龋损区域之间的图像对比度。在NIR成像后，使用偏振光显微镜（PLM）和横向显微放射照相术（TMR）对牙齿进行切片和检查，以确定病变的严重程度。然后根据病变严重程度将病变分为四类。两种相机的病变对比度随病变严重程度显著增加（p < 0.05）。与较小的InGaAs FPA相比，配备较大阵列和较小像素的Ge增强型CMOS相机产生更高的对比度值（p < 0.01）。结果表明，NIR病变对比度可用于估计病变严重程度。(C)2010年，美国光学仪器工程师学会（Society of Photo-Optical Instrumentation Engineers）[DOI 10.1117/1.3475959]
The high transparency of dental enamel in the near-infrared (NIR) at 1310 nm can be exploited for imaging dental caries without the use of ionizing radiation. The objective of this study is to determine whether the lesion contrast derived from NIR imaging in both transmission and reflectance can be used to estimate lesion severity. Two NIR imaging detector technologies are investigated: a new Geenhanced complementary metal-oxide-semiconductor (CMOS)-based NIR imaging camera, and an InGaAs focal plane array (FPA). Natural occlusal caries lesions are imaged with both cameras at 1310 nm, and the image contrast between sound and carious regions is calculated. After NIR imaging, teeth are sectioned and examined using polarized light microscopy (PLM) and transverse microradiography (TMR) to determine lesion severity. Lesions are then classified into four categories according to lesion severity. Lesion contrast increases significantly with lesion severity for both cameras (p < 0.05). The Geenhanced CMOS camera equipped with the larger array and smaller pixels yields higher contrast values compared with the smaller InGaAs FPA (p < 0.01). Results demonstrate that NIR lesion contrast can be used to estimate lesion severity. (C) 2010 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3475959]