Abstract:
DICOM (Digital Imaging and Communication in Medicine) is a standard for image and
data transmission in medical purpose hardware and is commonly used for viewing, storing, printing
and transmitting images. As a part of the way that DICOM transmits files, the PACS (Picture Archiving and
Communication System) platform, Dicoogle, has become one of the most in-demand image processing and
viewing platforms. However, the Dicoogle PACS architecture does not guarantee image information recovery
in the case of information loss. Therefore, this paper proposes a file recovery solution in the Dicoogle
architecture. The proposal consists of maximizing the encoding and decoding performance of medical images
through computational parallelism. To validate the proposal, the Java programming language based on the
Reed-Solomon algorithm is implemented in different performance tests. The experimental results show that
the proposal is optimal in terms of image processing time for the Dicoogle PACS storage system.
