the new toolkit of QUIBIM Precision® platform to beat traditional workstations


Quibim has implemented a new toolkit named MIUC (Medical Imaging Universal Connector) to close the gap between hospital IT systems and the Cloud. Whereas the Cloud satisfies the processing requirements, Quibim Precision® handle the functionalities related to communications and management of DICOM objects among the hospitals and radiological centers.

Quibim Precision® allows users in hospitals and radiology departments to have a seamless integration of imaging biomarkers analysis within the radiological workflow, due to the MIUC capabilities combined by the Quibim Precision® Cloud computing environment and the interoperability features implemented in our system. Both image upload and data retrieval are fully automated and users only need to access the PACS when they are notified that a new biomarker report is available.

MIUC is placed inside the hospitals and clinics and it is responsible to establish all the required communications between the PACS and Quibim Precision®. During the analysis of imaging biomarkers, the study is anonymized, sent to the Cloud and analyzed. The final result is a one-page report which is sent back to the MIUC or can be directly visualized in the Quibim Precision® web interface. Furthermore, in clinical environments, the report is converted into DICOM objects and stored in the PACS as a new series within the original study. To identify the original study, the MIUC implements backward traceability in the client side to reidentify the anonymized studies.

Our platform is intended to be used by radiologists, either from a clinical environment, thanks to the MIUC, or as a final user using the web interface. In the clinical environment scenario, radiologists using Quibim Precision® do not have to worry about where the study or the report is. Instead, these issues are transparent to the user, who do not have to perform any action to launch a biomarker process, given that the MIUC rule engine does such work for them. The user will be notified by email when a new biomarker report is ready (and available in both the PACS and the Quibim Precision® web interface).

Nowadays, our Quibim Precision® platform is compliant with the DICOM standard at both communication level and data management and formatting level. Specifically, our platform receives imaging studies from hospitals, radiological centers or pharma companies. Then, the system analyzes the study and obtains quantitative measures, which are stored in a quantitative database and structured in a one-page report on a per-patient basis. Finally, this report is returned back as a result.  Quibim Precision® allows annotating biomarker reports using terms from RadLex and MeSH, enhancing the interoperability of its biomarker reports with other health information systems. In fact, the imaging platform is seamlessly integrated with the hospital PACS, being able to query and retrieve medical studies, processing them and storing the resulting biomarker reports as DICOM objects in the hospital PACS. On the other hand, the processing stage is performed on the Cloud, taking advantage of its benefits: high-performance computing and real-time hardware scalability on demand.

But, what has changed?

In previous updates of our platform, we improved the performance, capabilities and user settings view. With this new suite software QUIBIM Precision®- MIUC does query/retrieve the PACS, anonymizes the PACS responses and forwards them to Quibim Precision® in the Cloud. Furthermore, the MIUC leads our solution to a higher level of automation, given that it monitors the PACS querying for incoming studies. Once a new study reaches the PACS, the MIUC analyzes its header and determines whether a new biomarker analysis must be launched or not, depending on some DICOM elements in the study like imaging modalities, study description, series description or body part among others. For each biomarker analysis available in Quibim Precision®, there is a predefined set of rules that establishes which studies are susceptible to be processed by each analysis method. An incoming study matches a given analysis method whenever it fulfils the predefined set of rules for such analysis method. When this happens, the MIUC automatically sends the study to the Quibim Precision® Cloud processing platform, where it will be processed by the matching biomarker analysis pipeline. Once processed, a biomarker report is generated with the results and sent back to the MIUC. Finally, the MIUC stores the report in the PACS as a DICOM object, making the report available for the specialist who requested it. This way, the Cloud platform remains centralized and, at the same time, fully integrated with the hospital IT systems.

With the arrival of MIUC toolkit the need for conventional workstations with expensive licenses in radiology departments completely disappears. As in other business areas that are evolving from product to service, the Quibim image analysis technology was designed to be offered as the service that puts disruptive image analysis solutions at your fingertips.


Alejandro Mañas

Computer scientist & Telecommunication Engineer by the University of Valencia. Master in Biomedical Engineering by the Polytechnics University of Valencia. PhD student at the Polytechnics University of Valencia, researching the application of Linked Data and knowledge modelling methods to enhance interoperability between normalized electronic health records and clinical decision support systems. He is a senior software developer in QUIBIM. He previously worked as PhD student at the Polytechnics University of Valencia, with a fellowship from the Spanish Ministry of Economy. He also worked as a researcher and software developer at the biomedical engineering unit of Quiron Hospital Group. Previously, he served as software developer at Veratech for Health, and as a fellow at the Robotics Institute of the University of Valencia. He is the author of over 14 communications to congresses and has participated in national and European R&D funded projects. He is collaborator of the Polytechnics University of Valencia in the Biomedical Engineering MSc, as a lecturer and supervisor of final projects. In 2012 he was awarded by the XXX Annual Congress of the Spanish Society of Biomedical Engineering (CASEIB) for his contributions to integrate a bone age estimation web-based system in health IT environments.

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