High-resolution mid-infrared imaging for disease diagnosis

机译：用于疾病诊断的高分辨率中红外成像

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Histopathology is the gold standard for disease diagnosis; however it is subject to a number of limitations. Fourier Transform infrared (FT-IR) spectroscopic imaging can be used to derive chemical images from tissues based on their inherent molecular comp

机译：组织病理学是诊断疾病的金标准。但是它受到许多限制。傅立叶变换红外（FT-IR）光谱成像可用于根据组织固有的分子组成从组织中提取化学图像

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《Biomedical vibrational spectroscopy V: Advances in research and industry.》|2012年|p.1-7|共7页
会议地点 San Francisco CA(US)
作者
Michael J. Walsh; David Mayerich;
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Beckman Institute for Advanced Science and Technology (USA);

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原文格式 PDF
正文语种 eng
中图分类光、激光生物医学;光、激光生物医学;光谱学;
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1. Simulation of high-resolution mid-infrared (3-5 μm) images using an atmosphere radiative transfer analytic model [J] . GUIJUN YANG, QINHUO LIU, QIANG LIU, International journal of remote sensing . 2009,第21a22期

机译：使用大气辐射传输解析模型模拟高分辨率中红外（3-5μm）图像
2. High-Resolution Mid-Infrared Images of the Nucleus of M81 [J] . Bruce Grossan1, Varoujan Gorjian2, Michael Werner2, The Astrophysical journal . 2008,第2期

机译：M81核的高分辨率中红外图像
3. High-Resolution Mid-Infrared Images of the Nucleus of M81 [J] . Bruce Grossan, Varoujan Gorjian, Michael Werner The Astrophysical journal . 2001,第2期

机译：M81核的高分辨率中红外图像
4. Hybrid-modality high-resolution imaging: for diagnostic biomedical imaging and sensing for disease diagnosis [C] . Murukeshan Vadakke Matham, Lim Hoong-Ta Optics in health care and biomedical optics VI . 2014

机译：混合模式高分辨率成像：用于生物医学诊断成像和疾病诊断传感
5. High-resolution mid-infrared imaging of active galactic nuclei. [D] . Radomski, James Thomas. 2003

机译：活跃银河核的高分辨率中红外成像。
6. High-resolution computed tomography and magnetic resonance imaging protocols in the diagnosis of fibrotic interstitial lung disease: overview for non-radiologists [O] . Gianluigi Sergiacomi, Luca Pugliese, Francesca Ricci, 2017

机译：高分辨率计算机断层扫描和磁共振成像方案在纤维化间质性肺疾病的诊断中：非放射线医师概述
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常
8. Images in Health Surveillance: Tickborne Disease Vectors and Lyme Disease Clinical Diagnosis. [R] . 2012

机译：健康监测中的图像：蜱传疾病媒介和莱姆病临床诊断。

High-resolution mid-infrared imaging for disease diagnosis

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