Inferensys

Glossary

DICOMweb

A set of RESTful web services defined by the DICOM standard for storing, querying, and retrieving medical images and related data, enabling interoperability with FHIR-based systems.
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RESTful Medical Imaging Standard

What is DICOMweb?

DICOMweb is a set of RESTful web services defined by the DICOM standard for storing, querying, and retrieving medical images and related data, enabling interoperability with FHIR-based systems.

DICOMweb is a modern API extension of the DICOM standard that enables web-based access to medical imaging archives using RESTful HTTP protocols. It replaces legacy DICOM network services with STOW-RS for storage, QIDO-RS for querying, WADO-RS for retrieval, and WADO-URI for simple object access, using JSON and XML payloads.

This standard is critical for healthcare federated learning because it allows disparate Picture Archiving and Communication Systems (PACS) to expose imaging data through a uniform, firewall-friendly API. By integrating with FHIR's ImagingStudy resource, DICOMweb bridges radiology workflows with broader clinical contexts, enabling cross-institutional model training without centralizing sensitive Protected Health Information (PHI).

RESTful Medical Imaging

Core DICOMweb Services

DICOMweb defines a set of RESTful HTTP services for storing, querying, and retrieving medical images and related data, bridging the gap between legacy DICOM systems and modern web-based healthcare applications.

DICOMWEB INTEROPERABILITY

Frequently Asked Questions

Clear answers to the most common technical questions about DICOMweb's RESTful architecture, its relationship with FHIR, and its role in modern medical imaging workflows.

DICOMweb is a set of RESTful web service APIs defined by the DICOM standard (specifically PS3.18) for storing, querying, retrieving, and managing medical images and related data over HTTP/HTTPS. Unlike traditional DICOM protocols (DIMSE) that rely on binary-encoded messages over TCP/IP, DICOMweb uses standard web technologies: JSON for metadata, XML for alternative representations, and multipart/related MIME types for transmitting pixel data. The core services include:

  • QIDO-RS (Query based on ID for DICOM Objects): Search for studies, series, or instances using HTTP GET with query parameters.
  • WADO-RS (Web Access to DICOM Persistent Objects): Retrieve individual DICOM instances, frames, or metadata using RESTful URIs.
  • WADO-URI: A legacy, non-RESTful mechanism for retrieving objects via query-string parameters.
  • STOW-RS (Store Over the Web): Upload DICOM instances using HTTP POST with multipart/related content.
  • UPS-RS (Unified Procedure Step): Manage imaging workflow tasks programmatically.

This architecture enables browser-based zero-footprint viewers, mobile PACS access, and seamless integration with cloud-native healthcare platforms without requiring specialized DICOM networking software.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.