Highly available and scalable medical image repository based on kubernetes

• Autor(a) principal: Baptista, Tibério Filipe Pacheco
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/33885
• topic: Medical imaging; DICOM; PACS; Cloud; Scalability; Kubernetes

The use of medical imaging in clinical practice has increased dramatically in recent decades. The adoption and migration to the Cloud of medical imaging systems and services is an excellent opportunity for telemedicine, telework and collaborative work environments. However, the adoption of this paradigm has been slow in this scenario. While the migration has many advantages, it also introduces new challenges, mainly related with data storage and management. One of the most important open problems is with the efficient handling and transmission of large volumes of data. This issue is particularly critical if the service requests data regional redundancy and high scalability. In this context, this article proposes and describes a new architecture compliant with medical imaging requirements and following standard Cloud and medical imaging interfaces to further enable the open-source Dicoogle medical image repository. The solution is based on Kubernetes, an open-source system to deploy, scale and manage containerized applications in a distributed manner. The proposal includes a component for distributed management of the medical studies based on service policies, along with a monitoring framework component for the automatic scalability configuration of a medical imaging repository. The result was a scalable cloud-based medical imaging repository that can be distributed across multiple machines in order to achieve a better performance than a single node.