An Efficient Storage and Retrieval of DICOM Objects using Big Data Technologies
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Abstract
DICOM is a global Information technology standard for electronic medical image. Meta data information and images are stored in a single file with dcm extension. A single DICOM file, sizes from MBs to GBs based on the study. PACS uses RDBMS to store and retrieve DICOM data. Replacing RDBMS with Big data technologies will help to handle DICOM data efficiently. All Indian government hospitals stores around 1400PB data collectively. Thus DICOM qualifies as a problem for handling big data. Storing and retrieving these big data from large repositories are highly complex and challenging. Applying big data techniques for handling DICOM data will helps to save many patient lives and improve areas like research, treatment methods, patient similarity searching, disease progression monitoring, clinical follow-up, case studies, training and learning, expertise sharing and helps to understand different patterns in the medical image data archive in a secured way. This paper presents an extensive survey on selective big data technologies for DICOM data storage and retrieval and also analyses the performance of Apache Pig, Hive and Spark while performing storage and retrieval of DICOM data. Keywords: Big data, RDBMS, PACS, DICOM, Storage
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