中国医科大学学报

中国医科大学学报
  • 中文核心期刊
  • 中国科技核心期刊
  • 中国高校百佳科技期刊
  • BA、CA收录

中国医科大学学报 ›› 2019, Vol. 48 ›› Issue (7): 591-595.doi: 10.12007/j.issn.0258-4646.2019.07.004

• 论著 • 上一篇    下一篇

死后角膜数字图像变化与死亡时间关系的实验性研究

郑吉龙1, 霍德民2, 邓湘渝1, 腾月1, 王玖琳3, 单迪1, 贾儒林1, 钟浩鹏1   

  1. 1. 中国刑事警察学院法医学系法医病理教研室, 沈阳 110035;
    2. 上海市公安局嘉定分局刑侦支队, 上海 201822;
    3. 南昌市公安局刑侦大队, 南昌 330000
  • 收稿日期:2018-06-25 出版日期:2019-07-30 发布日期:2019-07-17
  • 通讯作者: 郑吉龙 E-mail:lxts412@163.com
  • 作者简介:郑吉龙(1976-),男,教授,博士.
  • 基金资助:
    公安部技术研究计划(2016JSYJC56);国家级大学生创新训练计划(20191075029);辽宁网络安全执法协同创新中心资助项目

Experimental Study on the Relationship between the Postmortem Interval and Changes in Postmortem Corneal Digital Images

ZHENG Jilong1, HUO Demin2, DENG Xiangyu1, TENG Yue1, WANG Jiulin3, SHAN Di1, JIA Rulin1, ZHONG Haopeng1   

  1. 1. Forensic Pathology Teaching and Research Section, Department of Forensic Medicine, Criminal Investigation Police University of China, Shenyang 110035, China;
    2. Criminal Investigation Division of Jiading District Bureau of Shanghai Public Security Bureau, Shanghai 201822, China;
    3. Criminal Investigation Brigade of Nanchang Public Security Bureau, Nanchang 330000, China
  • Received:2018-06-25 Online:2019-07-30 Published:2019-07-17

摘要: 目的 探讨利用数字图像处理技术检测家兔死后角膜数字图像颜色变化,客观量化分析死亡时间(PMI)的可行方法。方法 家兔缢死后置于20℃室内环境,死后72 h内每间隔1 h应用自制的“死后角膜图像采集系统”采集角膜数字图像,基于MATLAB软件分割角膜瞳孔区域图像后,提取6项颜色特征指标R、G、B、H、S、V的参数值,分别建立反映各指标与PMI关系的回归方程。筛选判定系数最高的回归方程,进行可行性验证实验。结果 6项颜色特征指标中,R、G、B与PMI显著相关(P<0.01或P<0.05),H、S、V与PMI无统计学相关(P>0.05);经比较发现,R与PMI相关性最高(R2=0.935),死后相同时间个体间及个体内R值无统计学差异(P>0.05);验证实验结果表明,尸体所处环境温、湿度变化,可导致PMI推断误差范围变化。结论 采集死后角膜数字图像,结合数字图像处理技术检测角膜瞳孔区域图像颜色变化,为利用死后角膜颜色变化推断PMI提供了一种客观、可量化的方法。

关键词: 角膜图像, 数字图像处理技术, 颜色分析, 死亡时间

Abstract: Objective To discuss the color changes in postmortem corneal digital images measured by digital image processing and provide a feasible method for quantitatively estimating the postmortem interval(PMI). Methods After death by hanging,rabbits were placed in a dark room at temperature 20℃. A custom-made "postmortem corneal image acquisition system" was used to acquire corneal images of the rabbits at one-hour intervals within 72 hours after death. The corneal-pupil region in the images were segmented using MATLAB software,and the values of the six color features of R,G,B,H,S,and V were extracted. Next,the regression equations that reflect the relationship between the parameters and PMI were established. Finally,the regression equation with the highest coefficient of determination was selected to perform verification experiments. Results R,G,and B were significantly correlated with PMI(P<0.01 or P<0.05), and there was no significant correlation between H,S,V and PMI(P>0.05);R had the highest correlation with PMI(R2=0.935),and no intra- and inter-individual variations of CON values were observed(P>0.05). The verification experiment results indicated that changes in the ambient temperature and humidity around the cadavers resulted in changes in the error range of the estimated PMI. Conclusion Postmortem corneal digital image acquisition and digital image processing were used to detect the color changes in the corneal-pupil region images. These color changes can provide an objective and quantifiable method for PMI estimation.

Key words: corneal image, digital image processing technology, color analysis, postmortem interval

中图分类号: 

  • R89
[1] BROOKS JW. Postmortem changes in animal carcasses and estimation of the postmortem interval[J]. Vet Pathol,2016,53(5):929-940. DOI:10.1177/0300985816629720.
[2] EMANUELE NP,MATTEO N,ERNESTO D,et al. Post-mortem corneal thickness measurements with a portable optical coherence tomography system:a reliability study[J]. Sci Rep,2016,6:30428. DOI:10.1038/srep30428.
[3] 吕国丽,姜富学,许心舒,等. 超声法测量角膜厚度推断死亡时间[J]. 法医学杂志,2012,28(2):89-91. DOI:10.3969/j.issn.1004-5619. 2012.02.003.
[4] 周建斌,杨松涛,熊石龙,等. 家兔角膜上皮细胞DNA含量与死后经过时间关系的研究[J]. 医学临床研究,2005,22(6):752-754. DOI:10.3969/j.issn.1671-7171.2005.06.012.
[5] 郑吉龙,张晓东,安志远,等. 兔死后角膜内皮细胞核DNA降解随死亡时间变化规律[J]. 中国法医学杂志,2010,25(4):220-222. DOI:10.3969/j.issn.1001-5728.2010.04.002.
[6] 王晓亮,方超,罗思敏. 猪眼角膜混浊程度变化与PMI推断[J].广东公安科技,2011,19(2):14-17.
[7] ZHOU L,LIU Y,LIU L,et al. Image analysis on corneal opacity:a novel method to estimate postmortem interval in rabbits[J]. J Huazhong Univ Sci Technolog Med Sci,2010,30(2):235-239. DOI:10.1007/s11596-010-0221-2.
[8] KAWASHIMA W,HATAKE K,KUDO R,et al. Estimating the time after death on the basis of corneal opacity[J]. J Forensic Res,2015,6:269. DOI:10.4172/2157-7145.1000269.
[9] CANTÜRK i, ÖZYILMAZ L. A computational approach to estimate postmortem interval using opacity development of eye for human subjects[J]. Comput Biol Med,2018,98:93-99. DOI:10.1016/j.compbiomed.2018.04.023.
[10] 付稚莹,王泽惠,姜琦,等. 家兔缢死后不同时间血气分析检测值的变化[J].锦州医科大学学报,2015,36(6):1-2.
[11] 冈萨雷斯. 数字图像处理:MATLAB版[M]. 阮秋琦译. 2版. 北京:电子工业出版社,2013.
[12] MOON SY,LEE JP,JIN HB,et al. Measurement of pupillary light reflex features through RGB-HSV color mapping[J]. Biomed Eng Lett,2015,5(1):29-32.
[13] SHIN J,CHOI S,YANG JS,et al. Smart forensic phone:colorimetric analysis of a bloodstain for age estimation using a smart phone[J]. Sensor Actuat B Chem,2017,243:221-225. DOI:10.1016/j.snb.2016.11.142.
[14] YANG J,LIU Y,MENG Q,et al. Objective evaluation criteria for stereo camera shooting quality under different shooting parameters and shooting distances[J]. IEEE Sens J,2015,15(8):4508-4521. DOI:10.1109/jsen.2015.2421518.
[15] LIEPINSH E,KUKA J,DAMBROVA M. Troubleshooting digital macro photography for image acquisition and the analysis of biological samples[J]. J Pharmacol Toxicol Methods,2013,67(2):98-106. DOI:10.1016/j.vascn.2012.11.001.
[16] SU CH,CHIU HS,HUNG JH,et al. Color space comparison between rgb and hsv based images retrieval[J]. Adv Mat Res,2014,989-994:4123-4126. DOI:10.4028/www.scientific. net/amr. 989-994.4123.
[17] ZHENG X,XIONG H,LI Y,et al. RGB and HSV quantitative analysis of autofluorescence bronchoscopy used for characterization and identification of bronchopulmonary cancer[J]. Cancer Med,2016,5(11):3023-3030. DOI:10.1002/cam4.831.
[18] OLSON MR,GRAHAM E,HAMAD S,et al. Quantification of elemental and organic carbon in atmospheric particulate matter using color space sensing-hue,saturation,and value(HSV)coordinates[J]. Sci Total Environ,2016,548-549:252-259. DOI:10.1016/j.scitotenv.2016.01.032.
[19] 李晓娜,郑吉龙,胡忠国,等. 兔死后角膜厚度与死亡时间的关系[J]. 法医学杂志,2013,29(4):241-243. DOI:10.3969/j.issn.1004-5619.2013.04.001.
[20] 方东,梁耀荣,陈虎,等. 角膜混浊的形成机制及法医学应用进展[J]. 刑事技术,2007(2):36-38. DOI:10.3969/j.issn.1008-3650. 2007.02.012.
[21] 李晓娜,郑吉龙,单迪,等. 兔死后角膜内皮细胞活性率变化的时间规律性研究[J]. 解剖科学进展,2014,20(2):115-118.
[1] 李晓娜, 郑吉龙, 霍德民, 王玖琳, 岳文青. 死后视网膜血管图像时序性变化的实验研究[J]. 中国医科大学学报, 2019, 48(4): 320-323.
[2] 郑吉龙, 倪首涛, 章彪, 巩京慧, 王玖琳, 许高帅. 血痕颜色时序性变化的实验性研究[J]. 中国医科大学学报, 2018, 47(5): 415-419,425.
[3] 郑吉龙, 倪首涛, 章彪, 霍德民, 赵开放, 刘夏, 杨森. 家兔失血性休克死后肝脏CT影像学变化与死亡时间的关系[J]. 中国医科大学学报, 2018, 47(3): 212-216.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 贺雪梅, 熊欣, 邹建中, 李发琪, 龚晓波. 超声消融剂量与生物学焦域特征[J]. 中国医科大学学报, 2009, 38(9): 654 .
[2] 尹玉, 赵卫华, 胡健. 替米沙坦与非诺贝特对高脂饮食大鼠血清脂联素水平的影响[J]. 中国医科大学学报, 2009, 38(9): 674 .
[3] 郭哲, 徐冰, 卢利. 下颌骨髁突骨折治疗的Meta分析[J]. 中国医科大学学报, 2009, 38(9): 709 .
[4] 张丽, 齐瑞群, 孙艳, 陈国红, 任宏伟, 陈洪铎, 高兴华. 卡介菌多糖核酸对特应性皮炎外周血CLA~+T细胞表达不同细胞因子的影响[J]. 中国医科大学学报, 2009, 38(10): 764 .
[5] 程大丽, 穆庆, 夏志军. 女性压力性尿失禁患者盆底生物反馈治疗36例临床分析[J]. 中国医科大学学报, 2009, 38(10): 778 .
[6] 刘鹏辉, 廖国清, 李月敏, 尹艳慧, 王红梅, 曲怡梅. 肺癌患者外周血BJ-TSA-9,LUNX和CK19 mRNA的检测及其临床意义[J]. 中国医科大学学报, 2009, 38(10): 786 .
[7] 蔡鑫泽, 顾卉, 刘彤, 李丰. hLMO1编码基因重组质粒的构建及蛋白的表达和定位[J]. 中国医科大学学报, 2009, 38(11): 816 .
[8] 张华, 王秋月, 侯刚, 许惟元, 李猛, 康健. 辽宁部分农村地区居民吸烟情况与COPD患病关系的调查[J]. 中国医科大学学报, 2009, 38(11): 855 .
[9] 张依宁, 魏敏杰, 孙明军. 伊立替康抑制人结直肠癌细胞增殖和ATP敏感性钾通道的相关性研究[J]. 中国医科大学学报, 2010, 39(1): 10 .
[10] 孙桂莲, 江雅静, 姜琳, 王东颖, 杨志亮. 46例小儿周期性呕吐综合征的临床研究[J]. 中国医科大学学报, 2010, 39(1): 67 .

中国医科大学学报版权所有©2018

未经允许,严禁擅自转载本站图文资料

地址:中国 沈阳市沈北新区蒲河路77号 110122

辽ICP备05014850

JOURNAL OF CHINA MEDICAL UNIVERSITY

ADDRESS: NO.77 PUHE ROAD

SHENYANG NORTH NEW AREA, SHENYANG

LIAONING PROVINCE, P.R. CHINA