如何利用开源项目,构建分布式DICOM-WEB服务. 总体架构 Apache-kafka 作为消息队列.开发阶段可用RedPanda 替代. Apache-Doris 作为数据仓库.提供DicomStateMeta,DicomImageMeta 及WadoAccessLog 存储,提供查询及统计分析. PostgreSQL 作为数据库.提供数据存储功能.及检查索引功能.只存储PatientInformation,StudyInformation,SeriesInformation 这一级别的元数据.充分利用关系数据库的ACID特性.后续可用Citus进行扩容. Redis 作为缓存.提供数据缓存功能. Nginx 作为反向代理服务器.提供负载均衡,静态文件,TLS透传等 收图文件服务接收的文件,先存储到本地,再通过 kafka 发送到消息队列. MessageBody = { TransferSyntax, SopInstancheUID, StudyInstanceUID,SeriesInstanceUID, PatientID, FileName, FileSize, FilePath } 消息分发到多个队列: 存储队列: 存储文件信息,文件存储路径,文件大小. 索引队列: 提取文件TAG信息, 包括PatientInfomation, StudyInformation, SeriesInformation, ImageInformation.并写入Doris库 转换队列: 对于部分传输语法,因为Cornerstone3D无法解析,需要转换成CornerstoneJS能够解析的格式.转换失败的写入Doris转换记录表. 服务用途及说明 服务 用途 wado-server DICOM Web WADO-RS API实现,support oauth2. wado-storescp CStoreSCP Provider,write dicom file to disk. and publish message to kafka:storage_queue,log_queue wado-consumer consumer storage-queue,and publish message to kafka:dicom_state_queue,dicom_image_queue,use stream_load write to doris wado-webworker generate metadata for wado-server and update related instances for series and study. wado-server DICOM Web WADO-RS API 接口实现 ,根据配置选项决定是否开启 OAuth2 认证. wado-storescp DICOM CStoreSCP 服务,接收DICOM文件并写入磁盘,同是分发消息到Kafka: storage_queue,log_queue - 1.存储文件路径: ${ROOT}/<TenantID>/<StudyInstanceUID>/<SeriesInstanceUID>/<SopInstanceUID>.dcm - 2.往消息队列: storage_queue ,log_queue 发送消息 wado-consumer 消费Kafka消息队列storage_queue ,提取DicomStateMeta 到主数据库,并通过消息队列:dicom_state_queue,dicom_image_queue发布DicomStateMeta,DicomImageMeta 到Doris数据库 - 1.从storage-queue读,往dicom_state_queue,dicom_image_queue写 - 2.提取DicomStateMeta 到主数据库, - 3.通过消息队列:dicom_state_queue,dicom_image_queue发布DicomStateMeta,DicomImageMeta 到Doris数据库 Stream_Load 模式 wado-webworker 定期扫描数据库,根据最后更新时间生成JSON格式的metadata用于加速WADO-Server的访问 总结 后续的相关子系统的介绍均围绕这里的进行展开. ...
数学与英语，不是“碰瓷”，而是普通人守住上升通道的双翼
文 / 观察者说 “不做安安饿殍，犹效奋臂螳螂。” —— 明末 黄宗羲 【引言】 最近几年，一种声音甚嚣尘上： “数学学那么深干嘛？买菜又不用解方程！” “英语有翻译软件，何必逼孩子背单词？” “孩子开心最重要，学习太苦会压抑天性……” 乍听之下，似乎充满人文关怀。 但若细究其后果，却令人不寒而栗——这些话，正在悄悄焊死普通家庭孩子的上升通道。 更有人批评：这是“英语碰瓷数学”，制造学科对立。 其实不然。本文想说的是：数学与英语，从来不是敌人，而是现代基础教育中缺一不可的双翼。弱化任何一方，都是对底层百姓未来的不负责任。 一、教育的根本目的：防骗、赋能、破垄断 教育的意义，远不止于“找工作”或“考大学”。它至少承担三大社会功能： 1. 防骗：知识是抵御愚昧的盾牌 一个理解基本化学的人，不会相信“假鸡蛋能以假乱真”； 一个掌握概率思维的人，不会沉迷“稳赚不赔”的理财骗局； 一个能读英文说明书的人，不会被“量子波动速读”“空气造水机”收割智商税。 正如《汉书·艺文志》所言：“民可使由之，不可使知之”——这句话常被误读为“愚民”，实则警示：若百姓无知，便易被操控。 2. 赋能：让普通人快速适应技术变革 同样是用智能手机： 文盲可能只会接打电话； 初中毕业生能学会扫码支付、视频通话、预约挂号。 这种差距，在AI与自动化时代将被急剧放大。 没有基础数学与语言能力，连“人机协作”的门槛都迈不过去。 3. 破垄断：防止知识成为少数人的特权 历史上，知识垄断必然导致阶层固化。 中国魏晋南北朝时期，“上品无寒门，下品无势族”（《晋书·刘毅传》），士族门阀垄断官场数百年； 印度种姓制度将人分为婆罗门、刹帝利、吠舍、首陀罗，甚至“不可接触者”，职业、婚姻、教育皆按血统世袭（《摩奴法典》，公元前2世纪）。 而打破这一切的，正是科举制度——它让寒门子弟凭一张考卷，也能走进庙堂。 今天，高考就是新时代的“科举”。 数学、语文、英语、科学，就是那张决定命运的试卷。 二、数学与英语，为何必须保留高要求？ 有人问：日常生活中用不到微积分、用不到莎士比亚，为何要学？ 这混淆了“工具性使用”与“素养性训练”。 ▶ 数学：训练逻辑与抽象思维 解方程 ≠ 为了买菜，而是为了理解“变量”“因果”“优化”； 几何证明 ≠ 为了画图，而是为了建立“前提—推理—结论”的严谨链条。 正如数学家华罗庚所说： “宇宙之大，粒子之微，火箭之速，化工之巧，地球之变，生物之谜，日用之繁，无处不用数学。” ▶ 英语：打开全球知识的大门 翻译软件能译句子，但译不出科学论文的逻辑脉络； AI 可以对话，但无法替代你直接阅读一手资料、参与国际协作。 中国工程院院士潘建伟曾坦言： “如果没有扎实的英语能力，我们根本无法第一时间跟进量子通信的国际进展。” 数学培养“思考力”，英语拓展“信息源”——二者互补，而非互斥。 三、历史教训：放弃基础教育，等于重回种姓社会 ▶ 中国：五姓七望的警示 唐代“五姓七望”（崔、卢、李、郑、王等士族），靠血统垄断政治资源近三百年。 《新唐书·柳冲传》载：“山东人士，耻与诸姓为婚，唯重旧门。” 直到科举普及、印刷术推广，知识才逐渐“去贵族化”。 ▶ 印度：种姓制度的现代遗毒 尽管1947年印度宪法废除种姓制度，但教育机会仍高度不平等。 世界银行2022年报告指出： ...
dabase access and DICOM Object Metadata Extraction - Comprehensive Medical Imaging Data Processing
DICOM Object Metadata Extraction System The [dicom_object_meta.rs] module provides comprehensive extraction capabilities for DICOM medical imaging metadata, processing hundreds of standardized DICOM tags to create structured data representations. Metadata Categories Patient Information Extracts critical patient identifiers and demographics: Patient name, ID, and demographics Birth date and sex Medical record numbers Accession numbers Study Metadata Processes study-level information: Study instance UID and description Study date and time Referring physician information Study ID and accession numbers Series Information Handles series-specific data: ...
DICOM File Transfer and Conversion - Medical Imaging Format Transformation
title: “DICOM File Transfer and Conversion - Medical Imaging Format Transformation” description: “Learn how DICOM file transfer and conversion capabilities handle various medical imaging transfer syntaxes with GDCM integration for seamless format transformation.” keywords: [“DICOM conversion”, “medical imaging”, “file transfer”, “transfer syntax”, “GDCM integration”, “image processing”, “format transformation”] date: 2024-01-01T00:00:00+08:00 draft: false DICOM File Transfer and Conversion System The [change_file_transfer.rs] module provides comprehensive DICOM file transfer syntax conversion capabilities, enabling seamless format transformation for medical imaging systems using GDCM integration. ...
DICOM Server Common Library
DICOM Server Common Library 这是一个用于 DICOM 医疗影像系统的通用库，提供了各种核心功能模块。 功能模块 DICOM-Cloud Part Tow 4.1 Common Module Introduce DICOM-Cloud Part Tow 4.2 storage configuration DICOM-Cloud Part Tow 4.3 database factory DICOM-Cloud Part Tow 4.4 Redis DICOM-Cloud Part Tow 4.4 Kafka Message Publish DICOM-Cloud Part Tow 4.6 Extract Dicom Information DICOM-Cloud Part Tow 4.7 Security DICOM-Cloud Part Tow 4.8 Write File To Storage 项目概述 该库旨在为 DICOM 服务器提供可重用的组件，包括配置加载、数据库访问、缓存管理、消息传递等功能。 GoTo Summary : how-to-build-cloud-dicom
DICOM Storage Configuration and |Medical Imaging Storage Management - Efficient DICOM File Organization
Storage Configuration and Management System The storage_config.rs module provides intelligent storage management for medical imaging systems, optimizing file organization and path management for large-scale DICOM archives. Storage Architecture Hierarchical Directory Structure Implements a logical directory hierarchy based on medical imaging metadata: Tenant-based organization for multi-tenant deployments Date-based grouping for efficient retrieval UID-based separation for unique identification Path Management Generates consistent, predictable paths for all DICOM files and associated metadata. Key Features UID Hashing Uses SeaHash algorithm to create fixed-length hashed identifiers for secure, predictable path generation while maintaining patient privacy. ...
Medical Imaging Certificate Management - Secure Healthcare System Authentication
Certificate Management System for Medical Imaging The cert_helper.rs module provides comprehensive certificate management capabilities for securing medical imaging systems, implementing Public Key Infrastructure (PKI) with X.509 certificates and OpenSSL integration. Security Architecture Certificate Authority (CA) Management Implements a complete CA system for issuing and managing certificates within medical imaging environments. Client Certificate Generation Generates client certificates with machine-specific bindings for enhanced security. Server Certificate Management Creates server certificates for HTTPS and DICOM TLS connections. ...
Redis 缓存 |Redis Key Management for DICOM Server - High Performance Caching
Redis Key Management in DICOM Server The redis_key.rs module is a critical component of the DICOM server infrastructure, providing high-performance caching capabilities for medical imaging metadata and authentication data. This module implements intelligent key generation and caching strategies to significantly reduce database load and improve response times. Core Features Authentication Caching The module efficiently caches JWKS (JSON Web Key Set) URLs, which are essential for OAuth2/OpenID Connect authentication in medical imaging systems. This reduces authentication overhead and improves security token validation performance. ...
消息队列|Kafka Message Processing for Medical Imaging - Scalable Healthcare Data Streaming
Kafka Message Processing System for Medical Imaging The [message_sender_kafka.rs] module provides robust Kafka integration for medical imaging systems, enabling scalable, reliable message processing for DICOM metadata and imaging workflows. Message Processing Architecture High-Throughput Design Implements batch processing and compression to handle large volumes of medical imaging metadata with minimal resource consumption. Reliable Delivery Features built-in retry mechanisms and error handling to ensure message delivery even in challenging network conditions. Topic Segregation Uses separate Kafka topics for different message types: ...
配置管理 DICOM Server Configuration Management - Flexible Multi-Environment Setup
Server Configuration Management System The server_config.rs module provides a robust configuration management system for DICOM servers, supporting complex multi-environment deployments with flexible configuration sources. Configuration Architecture Multi-Source Configuration Loading The system supports configuration loading from multiple sources: JSON configuration files (application.dev.json, application.test.json) Environment variables with prefix support Secure credential management Environment-Specific Settings Different environments (development, testing, production) can have distinct configurations while maintaining consistency through shared structures. Core Configuration Components Database Configuration Supports multiple database backends including MySQL, PostgreSQL, and Doris with secure password handling and connection string generation. ...