本文選題：蒸發(fā)性干眼 + 瞼板腺��； 參考：《南京理工大學》2017年碩士論文

【摘要】：干眼癥,目前成為眼科疾病中最普遍以及最易容易被忽視的疾病之一。干眼的患病原因有很多,其中最普遍的為蒸發(fā)性干眼,該類干眼是由瞼板腺分泌油脂偏少,導致淚液蒸發(fā)過快。因此瞼板腺分布情況與淚液的蒸發(fā)速率成為了干眼檢查目前臨床診斷的重要依據(jù)。根據(jù)目前干眼檢測的普及方式,還是集中于侵入式的檢查方式,這種檢查手段不僅給檢查者帶來一定的眼部損傷,同時復雜的檢查流程也被很多患者與醫(yī)生所詬病。本文研究的主要工作是通過將傳統(tǒng)的診斷方法轉變?yōu)槟壳跋冗M的圖像處理技術,通過計算機圖像分析給醫(yī)生帶來更加方便,快速與準確的診斷依據(jù)。同時也希望通過非侵入時的檢查方法消除對檢查者的眼部損傷,檢查過程也更加簡單高效。本文主要解決的兩大問題,第一是如何通過圖像處理技術解決瞼板腺目前較難觀察的問題;同時還有如何利用圖像的技術判別淚液量。圍繞第一個問題,本文詳細闡述了基于圖像增強技術提高瞼板腺的可視程度。在特定拍攝光源環(huán)境的條件下,我們對采集的圖像進行適當?shù)募毠?jié)增強處理。在文章中我們結合傳統(tǒng)的圖像增強方法,提出更加適合瞼板腺圖像增強方法,使得瞼板腺的細節(jié)位置更加突出明顯,方便醫(yī)生觀察和診斷。第二個問題關于淚液分泌的情況。淚液通過瞬目在眼角膜處形成淚膜。本文通過分析淚膜的破裂情況來側面反映淚液的分泌和蒸發(fā)。在文中,我們借用角膜地形圖中角膜曲率變化情況映射于淚膜破裂的檢測中。本文的方法借用角膜地形圖Placido環(huán)光源與圓環(huán)成像原理,通過識別圓環(huán)的破裂與變化情況來標定淚膜破裂的位置。根據(jù)這兩大研究問題,結合圖像處理技術,本文提出了更加適合干眼檢測的新的圖像處理算法。包括圖像增強的算法、圖像配準的算法以及邊緣輪廓追蹤的算法。基于上述的理論分析,對這些算法進行了實驗模擬。實驗結果表明,本文提出的適合干眼檢測的算法能夠達到比較滿意的效果。與此同時為了適應不同型號的后期產(chǎn)品設備,本文根據(jù)傳統(tǒng)的Placido平面光源和相關幾何光學的原理設計出新的不同類型的Placido環(huán)形光源結構,使檢測設備更加貼合患者眼部,成像范圍擴大。最終,文章還根據(jù)檢測算法模塊和病人信息管理設計了上位機設備的應用軟件初期模型,建立了病人的數(shù)據(jù)模型,迎合了目前云端大數(shù)據(jù)的潮流。這也為患者更為全面醫(yī)療備案和更為準確的醫(yī)學診斷提供了保障。
[Abstract]:Xerophthalmia is one of the most common and easily neglected ophthalmic diseases. There are many causes of dry eye, the most common of which is evaporative dry eye, which is secreted by tarsal gland, which results in excessive evaporation of tears. Therefore, the distribution of tarsal glands and the evaporation rate of tears have become the important basis for clinical diagnosis of dry eye examination. According to the present popularization of dry eye examination, it is still focused on the invasive examination method, which not only brings some ocular injuries to examiners, but also the complex examination process is criticized by many patients and doctors. The main work of this paper is to change the traditional diagnosis method into the current advanced image processing technology, and to bring more convenient, fast and accurate diagnostic basis to doctors through computer image analysis. At the same time, we hope to eliminate the eye injury by non-invasive examination method, and the examination process is simpler and more efficient. The first is how to solve the problem of meibomian gland which is difficult to observe by image processing technology, and how to use the image technology to judge the amount of tear. Focusing on the first problem, this paper describes in detail how to improve the visibility of tarsal glands based on image enhancement. Under the condition of special light source environment, we processed the collected image with appropriate detail enhancement. In this paper, combining with the traditional image enhancement method, we propose a more suitable method for tarsal gland image enhancement, which makes the details of the tarsal gland more prominent and more convenient for doctors to observe and diagnose. The second question is about the secretion of tears. Tears form in the cornea through the blink of the eye. The tear film rupture was analyzed to reflect the secretion and evaporation of tear. In this paper, we use the corneal topography to map the change of corneal curvature to the detection of tear film rupture. In this paper, the location of tear film rupture is calibrated by identifying the rupture and variation of the circular ring by using the Placido ring light source and the imaging principle of the ring of corneal topography. According to these two research problems and combined with image processing technology, this paper proposes a new image processing algorithm which is more suitable for dry eye detection. It includes image enhancement algorithm, image registration algorithm and edge contour tracking algorithm. Based on the above theoretical analysis, these algorithms are simulated experimentally. The experimental results show that the proposed algorithm can achieve satisfactory results. At the same time, in order to adapt to different types of late product equipment, according to the traditional Placido plane light source and the principle of related geometry optics, this paper designs a new type of Placido ring light source structure, which makes the detection equipment more close to the eyes of the patient. The imaging range is enlarged. Finally, according to the detection algorithm module and patient information management, the paper designs the initial application software model of the upper computer equipment, and establishes the patient data model, which caters to the current trend of cloud big data. This also provides a guarantee for more comprehensive medical records and more accurate medical diagnosis.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.41

【參考文獻】

相關期刊論文 前10條

1 范軍;;充分認識干眼及其危險因素[J];中國眼鏡科技雜志;2013年09期

2 吳丹;洪佳旭;魏安基;樂琦驊;王文濤;王飛;崔心瀚;徐建江;;Oculus角膜地形圖觀察淚膜首發(fā)破裂點位置的臨床研究[J];中國眼耳鼻喉科雜志;2012年05期

3 高春玲;路風青;;眼科門診干眼癥的流行病學特征分析[J];山西醫(yī)科大學學報;2011年08期

4 陳平雁;;關于診斷試驗方法的若干問題[J];北京大學學報(醫(yī)學版);2010年06期

5 楊永明;馬林昆;;干眼的流行病學研究進展[J];國際眼科雜志;2010年10期

6 張麗;;對比度受限自適應直方圖均衡方法[J];電腦知識與技術;2010年09期

7 劉明坤;龍奕;尹忠科;;基于圖像局部方差分布的自適應反銳化掩模算法[J];貴州大學學報(自然科學版);2009年01期

8 韋春榮;王強;周永健;張燦龍;;基于最大互信息的醫(yī)學圖像配準[J];廣西物理;2007年01期

9 楊慶松,王寧利,孫旭光,王智群,李然;DR-1淚膜干涉成像儀動態(tài)成像法診斷干眼癥的臨床研究[J];眼科;2005年03期

10 謝明果,何劍光,徐中佑,張硯臣;帶噪聲抑制的反銳化掩模圖像增強算法[J];現(xiàn)代電子技術;2005年02期

相關碩士學位論文 前3條

1 石常宏;中國眼科門診干眼的流行病學調(diào)查及干眼診斷問卷臨床使用價值分析[D];復旦大學;2014年

2 陳永亮;灰度圖像的直方圖均衡化處理研究[D];安徽大學;2014年

3 張碩;高動態(tài)范圍圖像的色調(diào)映射算法研究[D];北京交通大學;2009年

，

本文編號：1949610