CN103190886A - Novel optical method detection system for biological tissue pathological changes - Google Patents
Novel optical method detection system for biological tissue pathological changes Download PDFInfo
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Abstract
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技术领域 technical field
本发明涉及一种利用奇点光学的方法来检测生物组织病变的光学系统。本发明利用相干激光通过生物组织得到极化图像关联结构的结果,以及利用相互极化程度(DMP)的坐标分布的测量技术,来对生物组织极化不均匀图像作拓扑描述,结果显示S轮廓与DMP值的坐标分布的自相关函数的半宽有关系。这些信息能够成为临床诊断生物组织癌变的基础。 The invention relates to an optical system for detecting pathological changes of biological tissues by means of singular point optics. The present invention uses coherent laser to obtain the result of correlation structure of polarization image through biological tissue, and uses the coordinate distribution measurement technology of degree of mutual polarization (DMP) to describe the topological description of uneven polarization image of biological tissue, and the result shows the S profile It is related to the half-width of the autocorrelation function of the coordinate distribution of DMP values. These information can become the basis of clinical diagnosis of biological tissue canceration.
背景技术 Background technique
当今,医学正处在一个重大的变革时期。医学的重点正由传统的基于症状治疗模式向以信息为依据的治疗模式转变。人们已经认识到,症状仅仅是疾病被滞后的很粗糙的人体异常反应。当今一些重大医学课题的研究,一开始就把着眼点放在探索导致疾病的生物信息规律上,以控制生物逻辑信息处于健康状态,进而达到治疗疾病的目的。为此,人们从各个学科(磁学、声学、化学、光学等)探索医学诊断和治疗的新方法。目前,人们认为光学有希望在当今医学的大变革中扮演重要角色。认识光在生物组织中的传播规律,以及激光为代表的高性能光源和高灵敏度光学探测器的研制成功分别是这种认知的理论依据和物质基础。虽然传统光学检测和诊断与传统医学的方法相比较有许多优点,尤其是600nm至1300nm“光学窗”波长范围内的无损检测和诊断技术蓬勃发展,如组织血氧和脑血氧的检测、血氧和葡萄糖含量的监测。在成像技术方面近年发展起来的OCT技术也受到人们的高度重视,但由于生物组织的多样性和复杂性,传统光学检测和诊断技术在理论上尤其是如何为医学临床提供可靠的生理参数指标尚有许多问题需要加强研究,检测和治疗的有效性和可靠性还有完善的空间。本发明在继承传统光学检测病变性生物组织的非接触、非电离、无创伤或者微创伤以及高灵活性优点的基础上,利用奇点光学方法来检测病理性病变双折射生物组织,从而能够为临床医学提供更准确的生物组织体场参量。 Today, medicine is going through a period of major change. Medicine's focus is shifting from a traditional symptom-based treatment model to an information-based one. It has been recognized that symptoms are simply a crude abnormal response of the body on which the disease is delayed. The research on some major medical topics today focuses on exploring the laws of biological information that lead to diseases from the very beginning, so as to control the biological logic information in a healthy state, and then achieve the purpose of treating diseases. To this end, new methods of medical diagnosis and treatment are being explored from various disciplines (magnetism, acoustics, chemistry, optics, etc.). Optics is currently believed to hold the promise of playing a major role in the great changes in medicine today. Understanding the law of light propagation in biological tissues, and the successful development of high-performance light sources represented by lasers and high-sensitivity optical detectors are the theoretical basis and material basis for this understanding, respectively. Although traditional optical detection and diagnosis have many advantages compared with traditional medical methods, especially the non-destructive detection and diagnosis technology in the wavelength range of 600nm to 1300nm "optical window" is booming, such as the detection of tissue blood oxygen and cerebral blood oxygen, blood Monitoring of oxygen and glucose levels. The OCT technology developed in recent years in terms of imaging technology has also been highly valued by people. However, due to the diversity and complexity of biological tissues, traditional optical detection and diagnosis technology is still unclear in theory, especially how to provide reliable physiological parameters for clinical medicine. There are many issues that require more research, and there is still room for improvement in the effectiveness and reliability of detection and treatment. On the basis of inheriting the advantages of non-contact, non-ionization, non-invasive or micro-trauma and high flexibility of traditional optical detection of diseased biological tissue, the present invention uses the singular point optical method to detect pathological diseased birefringent biological tissue, thereby being able to Provide more accurate biological tissue field parameters for clinical medicine.
发明内容 Contents of the invention
为了能够提高组织光学参量的可靠性,我们提出了一种新型光学方法检测系统。该系统与传统光学检测的思路不同,结合了奇点光学独特的场结构特点,基于分析从生物组织散射出来的场的非均匀极化结构,通过测量生物组织图像的奇点极化和相互极化程度(DMP值)等场参量的空间分布,来检测双折射生物组织的病理性病变。 In order to improve the reliability of tissue optical parameters, we propose a new optical detection system. The system is different from the traditional optical detection idea, combining the unique field structure characteristics of singularity optics, based on the analysis of the non-uniform polarization structure of the field scattered from biological tissue, by measuring the singularity polarization and mutual polarization of biological tissue images The spatial distribution of field parameters such as degree of transformation (DMP value) can be used to detect pathological lesions of birefringent biological tissues.
本发明的技术方案是:测量系统如图1所示,光源是准直了的氦氖激光,(λ=0.6328 μm,W=5.0 mw,直径为10 mm)。极化是由3和5的四分之一波片控制的,起偏器4调整极化光的角度和椭圆率,其中0≤α 0≤1800,0≤β 0≤900。生物组织的极化图像是用显微样品7发射到CCD阵列9得到的,CCD的像素为800*600,CCD阵列可以为生物组织提供从2到200微米的侧面范围测量。用起偏器8可以分析生物组织图像。
The technical solution of the present invention is: the measurement system is shown in Figure 1, and the light source is a collimated helium-neon laser ( λ = 0.6328 μm, W = 5.0 mw,
本发明同其他的光学检测方法相比能够利用奇点光学独特的场结构特点,获得生物组织散射出来的场的极化参量空间分布,从而检测双折射生物组织的病理性病变。本发明结构简单,易于制作。 Compared with other optical detection methods, the present invention can utilize the unique field structure characteristics of singularity optics to obtain the spatial distribution of polarization parameters of the field scattered by biological tissues, thereby detecting pathological lesions of birefringent biological tissues. The invention has simple structure and is easy to manufacture.
下面结合附图对本发明进一步说明。 The present invention will be further described below in conjunction with the accompanying drawings.
图1是生物组织病变的新型光学方法检测系统示意图。 Fig. 1 is a schematic diagram of a new optical method detection system for biological tissue lesions.
图2是实施例一中的研究物体。 Fig. 2 is the research object in the first embodiment.
图3是实施例一中的实验结果。 Fig. 3 is the experimental result in the first embodiment.
图4是实施例二中的研究物体。 Fig. 4 is the research object in the second embodiment.
图5是实施例二中的实验结果一。 Fig. 5 is the first experimental result in the second embodiment.
图6是实施例二中的实验结果二。 Fig. 6 is the second experimental result in the second embodiment.
图7是实施例二中的实验结果三。 FIG. 7 is the third experimental result in the second embodiment.
图8是实施例二中的实验结果四。 FIG. 8 is the fourth experimental result in the second embodiment.
图1中1氦氖激光器,2准直仪,3、5四分之一波片,4、8起偏器,6研究的物体,7显微样品,9CCD摄影机,10处理单元。 In Fig. 1, 1 helium-neon laser, 2 collimator, 3, 5 quarter wave plate, 4, 8 polarizer, 6 research object, 7 microscopic sample, 9CCD camera, 10 processing unit.
图2中1用同轴和2交叉起偏器得到的心肌组织极化图像。“P”标记的是被研究极化拓扑结构区域。 In Fig. 2, 1 is the polarized image of myocardial tissue obtained with coaxial and 2 crossed polarizers. "P" marks the region of the investigated polarization topology.
图3中心肌组织图像极化奇点(S轮廓)的拓扑分布。S状态用黑点标记;右旋的C点用红点标记,左旋的C点用蓝点标记。 Topological distribution of polarization singularities (S-contours) in myocardial tissue images in Fig. 3. The S state is marked with a black dot; the right-handed C point is marked with a red dot, and the left-handed C point is marked with a blue dot.
图4中1生理正常和2癌变的真皮组织在交叉起偏器下的极化图像。 In Fig. 4, polarization images of 1 physiologically normal and 2 cancerous dermal tissues under crossed polarizers.
图5中1生理正常和2癌变的真皮组织图像的极化椭圆率β(r)的坐标分布。 Coordinate distribution of the polarization ellipticity β ( r ) of 1 physiologically normal and 2 cancerous dermal tissue images in Fig. 5 .
图6中1生理正常和2癌变的真皮组织的单简并和双简并极化奇点的坐标分布。 Coordinate distributions of single degenerate and double degenerate polarization singularities of 1 physiologically normal and 2 cancerous dermal tissues in Fig. 6 .
图7中1生理正常和2癌变的真皮组织的DMP值分布。 The DMP value distribution of 1 physiologically normal and 2 cancerous dermal tissues in Fig. 7 .
图8中1正常和2癌变的真皮组织的DMP坐标分布的二维自相关函数。3正常和4癌变的真皮组织的DMP对应的自相关函数的三维图。 The two-dimensional autocorrelation function of the DMP coordinate distribution of 1 normal and 2 cancerous dermal tissues in Fig. 8 . 3D plots of autocorrelation functions corresponding to DMP of normal and 4 cancerous dermal tissues.
具体实施例: Specific examples:
在图2所示的实施例一中,我们选择了一块几何厚度为100微米的心肌组织作为研究对象,通过计算机模型和实验得到的极化非均匀图像的拓扑结构进行对比分析。图3显示的是S型和C型极化奇点的拓扑分布,这是在心肌组织的P区域(见图2)在光源的状态为{α 0=00;β 0=00}的情况下实验得到的。结果显示所有类型的S轮廓都在心肌组织的极化图像中出现,与实际的双折射生物组织所有的S轮廓的结构类似。 In the first embodiment shown in FIG. 2 , we selected a piece of myocardial tissue with a geometric thickness of 100 microns as the research object, and compared and analyzed the topological structure of the polarization non-uniform image obtained through the computer model and the experiment. Figure 3 shows the topological distribution of S-type and C-type polarization singularities, which are in the P region of myocardial tissue (see Figure 2) in the state of the light source { α 0 =0 0 ; β 0 =0 0 } obtained experimentally. The results show that all types of S-contours appear in the polarization images of myocardial tissue, which are similar to the structure of all S-contours in actual birefringent biological tissues.
在图4所示的实施例2中,我们研究了正常的和癌变的真皮组织。图4中1是用交叉偏振光得到的真皮极化可视结构的显微图像。2是癌变的真皮组织,其伴随着几何尺寸变大的胶原蛋白。图5中是1正常和2癌变的真皮组织的椭圆率β(r)的坐标分布图。结果显示两种真皮组织样本的边界场都是极化不均匀的。癌变的真皮组织的图像极化结构的主要特点是β(r)的几何尺寸变大了。这与增大尺寸的双折射胶原蛋白结构有关系。在图6中我们列出了极化奇点的坐标分布,绿色(代表线极化态)和红色(代表左旋和右旋的极化态)的点叠在对应的真皮图像上。图7是1正常的和2癌变的真皮组织图像计算出来的DMP值的坐标分布。图8描述了从1正常的和2癌变的真皮组织DMP坐标分布图像导出的自相关函数G(|V2|)。数据明显的显示两种真皮组织的自相关函数的半宽和S轮廓的尺寸都接近。 In Example 2 shown in Figure 4, we studied normal and cancerous dermal tissue. 1 in Figure 4 is a microscopic image of the polarized visible structure of the dermis obtained with cross-polarized light. 2 is cancerous dermal tissue accompanied by geometrically enlarged collagen. Fig. 5 is a coordinate distribution map of the ellipticity β ( r ) of 1 normal and 2 cancerous dermal tissues. The results showed that the boundary fields of both dermal tissue samples were polarized inhomogeneously. The main feature of the image polarized structure of cancerous dermal tissue is that the geometric size of β ( r ) becomes larger. This is associated with birefringent collagen structures of increased size. In Fig. 6 we list the coordinate distribution of the polarization singularity points, and the green (representing the linear polarization state) and red (representing the left-handed and right-handed polarization states) points are superimposed on the corresponding dermal images. Fig. 7 is the coordinate distribution of DMP values calculated from 1 normal and 2 cancerous dermal tissue images. Fig. 8 depicts the autocorrelation function G (|V 2 |) derived from 1 normal and 2 cancerous dermal tissue DMP coordinate distribution images. The data clearly show that the half-width of the autocorrelation function and the size of the S-contour are similar for the two dermal tissues.
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