A Service Class Provider (SCP) is the role of a DICOM Application Entity that performs a specific network operation on behalf of a requesting Service Class User (SCU). In a DICOM association, the SCP acts as the server, listening for incoming connection requests and executing the commanded service, such as storing a CT image via the C-STORE command or returning a list of studies via C-FIND. The SCP's capabilities are formally declared in its DICOM Conformance Statement, which lists the SOP Classes it supports.
Glossary
SCP (Service Class Provider)

What is SCP (Service Class Provider)?
The SCP is the server-side Application Entity in a DICOM association that passively listens for and executes a requested operation, such as storing images or responding to a query.
The SCP role is fundamental to the client-server architecture of DICOM networking. A single device can simultaneously act as an SCP for some services and an SCU for others; for instance, a PACS archive acts as an SCP when receiving images from a modality, but may act as an SCU when forwarding those images to a VNA. The specific behavior of the SCP is defined by the DIMSE command it receives and the negotiated Transfer Syntax agreed upon during Association Negotiation.
Key Characteristics of an SCP
The Service Class Provider (SCP) is the server-side Application Entity in a DICOM network that passively listens for and executes operations requested by a Service Class User (SCU). An SCP is defined not by its hardware, but by the specific set of SOP Classes it agrees to support during Association Negotiation.
Passive Listener Role
An SCP operates as a TCP/IP server, listening on a well-known port (typically 104 or 2762 for TLS) for incoming Association Requests. It does not initiate connections. When a CT scanner (acting as an SCU) finishes a scan, it actively connects to the PACS archive (acting as an SCP) to push images. The SCP's primary function is to validate the request, perform the operation, and return a status code.
- C-STORE SCP: Receives and persists DICOM objects.
- C-FIND SCP: Queries its internal database and returns matching records.
- C-MOVE SCP: Initiates a secondary outbound C-STORE sub-operation to a third-party destination.
SOP Class Conformance
An SCP's identity is defined entirely by the SOP Classes it claims to support in its DICOM Conformance Statement. A single physical server can act as an SCP for multiple SOP Classes simultaneously. For example, a PACS archive typically provides the SCP role for:
- Storage SOP Classes: To receive images from modalities.
- Query/Retrieve SOP Classes: To allow workstations to search and pull studies.
- Storage Commitment SOP Class: To take responsibility for long-term safekeeping of objects.
Failure to support a required SOP Class is the most common cause of DICOM integration failure between vendors.
DIMSE Command Processing
The SCP processes incoming DIMSE (DICOM Message Service Element) command requests received over the established association. Each command is a structured data set containing a Command Field that specifies the operation type. The SCP must parse this command, execute the corresponding internal logic, and return a DIMSE response with a status code.
- Success (0x0000): Operation completed without error.
- Refused (0xA700): The SCP lacks resources to process the request.
- Data Set Does Not Match SOP Class (0xA900): The transmitted data violates the IOD definition.
A robust SCP implementation must handle malformed commands gracefully without crashing the association.
Verification SCP
The most basic SCP implementation is the Verification SOP Class, which responds to a C-ECHO request with a simple success status. This is the DICOM equivalent of a network 'ping' and is used to confirm basic connectivity and association-level compatibility before attempting complex operations.
- Every DICOM-compliant device must support the Verification SOP Class as both an SCU and an SCP.
- A failed C-ECHO typically indicates a firewall block, incorrect port configuration, or mismatched AE Titles.
- Integration engineers use C-ECHO as the first diagnostic step when troubleshooting a broken DICOM connection.
Storage Commitment SCP
A critical SCP role for data integrity is the Storage Commitment Push Model. After an SCU (modality) sends images via C-STORE, it requests a Storage Commitment from the SCP (PACS). The SCP takes ownership of the objects and guarantees their safekeeping. The modality is then free to delete its local copies.
- The SCP must persist the commitment obligation across system reboots.
- If the SCP cannot fulfill the commitment (e.g., disk failure), it must send a notification with a failure reason.
- This mechanism prevents data loss during the critical window between image acquisition and archival confirmation.
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Frequently Asked Questions
Clear, technical answers to the most common questions about the SCP role in DICOM network communication, its relationship to other Application Entities, and its critical function in medical imaging workflows.
A Service Class Provider (SCP) is the DICOM Application Entity (AE) that listens for and performs a requested network operation on behalf of a Service Class User (SCU). In the classic client-server model, the SCP acts as the server. It passively waits for an incoming association request, accepts the negotiated connection, and then executes the command sent by the SCU. For example, a PACS archive functions as an SCP when it receives and stores images pushed from a CT scanner via the C-STORE command. The SCP role is defined by the specific SOP Class it supports; a single AE can be an SCP for storage services while simultaneously acting as an SCU for query services. The SCP is responsible for returning a status code indicating the success or failure of the requested operation.
Related Terms
Understanding the SCP role requires a firm grasp of the complementary network roles, negotiation protocols, and service definitions that constitute a DICOM communication session.

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.
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