A cloud-based medical image repository

Anthony Maeder, Birgit Planitz, Diaa El Rifai

    Research output: Contribution to conferencePaper

    1 Citation (Scopus)

    Abstract

    Many widely used digital medical image collections have been established but these are generally used as raw data sources without related image analysis toolsets. Providing associated functionality to allow specific types of operations to be performed on these images has proved beneficial in some cases (e.g. brain image registration and atlases). However, toolset development to provide generic image analysis functions on medical images has tended to be ad hoc, with Open Source options proliferating (e.g. ITK). Our Automated Medical Image Collection Annotation (AMICA) system is both an image repository, to which the research community can contribute image datasets, and a search/retrieval system that uses automated image annotation. AMICA was designed for the Windows Azure platform to leverage the flexibility and scalability of the cloud. It is intended that AMICA will expand beyond its initial pilot implementation (for brain CT, MR images) to accommodate a wide range of modalities and anatomical regions. This initiative aims to contribute to advances in clinical research by permitting a broader use and reuse of medical image data than is currently attainable. For example, cohort studies for cases with particular physiology or phenotypes will be able to source and include enough cases to provide high statistical power, allowing more individualised risk factors to be assessed and thus allowing screening and staging processes to be optimised. Also, education, training and credentialing of clinicians in image interpretation, will be more effective because it will be possible to select instances of images with specific visual aspects, or correspond to types of cases where reading performance improvement is desirable.

    Original languageEnglish
    DOIs
    Publication statusPublished - 11 Jun 2012
    EventMedical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications -
    Duration: 4 Feb 2012 → …

    Conference

    ConferenceMedical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications
    Period4/02/12 → …

    Keywords

    • Cloud computing
    • Content based image retrieval (CBIR)
    • Image repository
    • Medical image

    Fingerprint Dive into the research topics of 'A cloud-based medical image repository'. Together they form a unique fingerprint.

  • Cite this

    Maeder, A., Planitz, B., & El Rifai, D. (2012). A cloud-based medical image repository. Paper presented at Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, . https://doi.org/10.1117/12.912296