CN107157511A - 基于眼科及器官影像融合的疾病诊断或筛查方法及系统 - Google Patents

基于眼科及器官影像融合的疾病诊断或筛查方法及系统 Download PDF

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CN107157511A
CN107157511A CN201610139483.2A CN201610139483A CN107157511A CN 107157511 A CN107157511 A CN 107157511A CN 201610139483 A CN201610139483 A CN 201610139483A CN 107157511 A CN107157511 A CN 107157511A
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刘江
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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Abstract

本发明提出一种基于眼科及人体各个器官影像融合处理的多种人体疾病诊断或筛查方法及系统。本发明可在终端，局域网、广域网上利用对用户全面图像及数据进行全面存储管理。它利用眼科影像和各个医学影像融合的智能分析用与人体疾病的综合诊断或筛查。本发明通过综合眼科图像分析和人体各个器官医疗影像分析，综合其它个人资料，利用融合图像处理、机器学习、概率统计方法(称为iNTEGRATE方法)形成综合完整的各个器官的病情筛查报告。

Description

基于眼科及器官影像融合的疾病诊断或筛查方法及系统
技术领域
本发明涉及医疗影像、疾病筛查、智能健康、医疗大数据领域，特别涉及一种基于眼科及人体各个器官影像融合处理的多种人体疾病诊断或筛查方法及系统。
背景技术
随着医疗影像技术和互联网的快速发展，传统的健康医疗服务方式在迅速转变，基于人体各个器官影像融合处理的多种人体疾病诊断或筛查方法及系统日益受到社会关注。眼睛视网膜是人体可以直接通过光学手段观察到血管和组织的器官。很多人体的疾病可以通过观测眼科图像[1]直接获得信息。我们可以通过眼科影像和其他医学影像融合的智能分析[2，3]用与人体疾病的综合诊断或筛查。
发明内容
本发明的目的旨在构建一个利用眼科影像和各个医学影像融合的智能分析用与人体疾病的综合诊断或筛查系统。本发明通过综合眼科图像分析和人体各个器官医疗影像分析(包括眼睛本身不同图像模态的融合)，综合其它个人资料，利用融合图像处理、机器学习、概率统计技术(称为iNTEGRATE方法)形成综合完整的各个器官的病情筛查报告。
本发明包括以下步骤(如图1)：
系统启动提交模块1
启动用户综合数据管理模块2；
启动眼科影像智能分析模块3；
启动人体器官医疗影像分析模块4；
利用iNTEGRATE方法提供综合完整的各个器官的病情筛查报告生成模块5
作为本发明的一个实施例，所述在计算机网络上进行心血管疾病筛查，包括以下步骤：
用户提交服务请求；
系统根据病人的历史数据和新提交数据，进行数据分析，预测疾病；
用户提交眼底视网膜图像数据，系统对眼底眼底视网膜图像进行智能分析，提取和心血管疾病相关的风险因子数据；
用户提交心血管超声图像数据，系统对心血管超声图像进行智能分析，提取和心血管疾病相关的风险因子数据；
利用深度学习算法，综合以上预测和风险因子，生成更加综合完整的心血管病情筛查报告
尽管已经示出和描述了本发明的实施例，对于本领域的普通技术人员而言，可以理解在不脱离本发明的原理和精神的情况下可以对这些实施例进行多种变化、修改、替换和变型，本发明的范围由所附权利要求及其等同限定。
参考文献
[1]Abràmoff MD.；Garvin MK.，Sonka Mi.Retinal Imaging and ImageAnalysis.IEEE transactions on medical imaging 2000；3：169-208.
[2]Viola P，Jones M.Rapid object detection using a boosted cascade ofsimple features.IEEE 10Conference on Computer Vision and Pattern Recognition(CVPR)2001：I511-8
[3]Joachims T.Transductive Inference for Text Classification usingSupport Vector Machines.International Conference on Machine Learning(ICML)1999.
附图说明
图1为基于眼科及人体各个器官影像融合处理的多种人体疾病诊断或筛查方法及系统结构图。

Claims (4)

1.一种基于眼科及人体各个器官影像融合处理的多种人体疾病诊断或筛查方法，其特征及步骤在于：
在终端，局域网、广域网、云端上利用对用户全面图像及数据进行全面存储管理；
眼科影像和各个医学影像融合的智能分析用与人体疾病的综合诊断或筛查。
2.如权利要求1所述的方法，其特征在于，所述眼科影像和各个医学影像融合的智能分析，包括以下步骤：
基于图像分割、图像理解方法测量医学眼科图像中与各个器官疾病相关的风险因子；
基于图像分割、图像理解测量方法医各个器官医学影像中可观测到的疾病相关的风险因子。
根据以上风险因子，并综合其它个人资料，利用融合图像处理、机器学习、概率统计方法(以上的处理方法统称为iNTEGRATE方法)形成综合完整的各个器官的病情筛查报告。
3.如权利要求1的基于眼科及人体各个器官影像融合处理的多种人体疾病诊断或筛查系统，其特征在于，所述综合疾疾筛查报告生成，包括以下步骤：
系统根据用户疾病筛查请求，启动提交模块；
系统启动用户综合数据管理模块；
启动眼科影像智能分析模块；
启动人体器官医疗影像分析模块；
启动提供综合完整的各个器官的病情筛查报告生成模块。
4.如权利要求2所述的iNTEGRATE方法，其特征在于，根据系统预先学习(包括但不局限于深度学习或者神经元网络学习)好的眼科影像智能分析及人体器官医疗影像分析分类器模型，计算得到器官疾病的风险因子。并根据融合图像处理、机器学习、概率统计技术和方法(包括但不局限于深度学习或者神经元网络学习)，分析这些风险因子，形成综合完整的各个器官的病情筛查报告。
CN201610139483.2A 2016-03-07 2016-03-07 基于眼科及器官影像融合的疾病诊断或筛查方法及系统 Pending CN107157511A (zh)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1145213A (zh) * 1996-06-04 1997-03-19 浙江大学 一种心血管病的无损定量诊断系统及其使用方法
CN103458772A (zh) * 2011-04-07 2013-12-18 香港中文大学 视网膜图像分析方法和装置
CN104657620A (zh) * 2015-03-09 2015-05-27 上海国通视光医疗科技发展有限公司 基于互联网的眼健康云数据平台
CN105232054A (zh) * 2015-10-20 2016-01-13 沈阳国际旅行卫生保健中心 一种人体内分泌系统健康风险预警系统
CN105705098A (zh) * 2013-09-20 2016-06-22 透壁生物技术公司 用于诊断疾病的图像分析技术

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1145213A (zh) * 1996-06-04 1997-03-19 浙江大学 一种心血管病的无损定量诊断系统及其使用方法
CN103458772A (zh) * 2011-04-07 2013-12-18 香港中文大学 视网膜图像分析方法和装置
CN105705098A (zh) * 2013-09-20 2016-06-22 透壁生物技术公司 用于诊断疾病的图像分析技术
CN104657620A (zh) * 2015-03-09 2015-05-27 上海国通视光医疗科技发展有限公司 基于互联网的眼健康云数据平台
CN105232054A (zh) * 2015-10-20 2016-01-13 沈阳国际旅行卫生保健中心 一种人体内分泌系统健康风险预警系统

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