Affiliations: [a] Department of Electrical Engineering, University of Sumatera Utara (USU), Medan, Indonesia | [b] Department of Radiology, Faculty of Medicine, University of Sumatera Utara (USU), Medan, Indonesia
Correspondence:
[*]
Corresponding author: Fahmi Fahmi, Department of Electrical Engineering, University of Sumatera Utara (USU), Medan, Indonesia. E-mail:fahmimn@usu.ac.id
Abstract: The use of medical imaging in diagnosing brain disease is
growing. The challenges are related to the big size of data and complexity
of the image processing. High standard of hardware and software are
demanded, which can only be provided in big hospitals. Our purpose
was to provide a smart cloud system to help diagnosing brain diseases for
hospital with limited infrastructure. The expertise of neurologists was
first implanted in cloud server to conduct an automatic diagnosis in real
time using image processing technique developed based on ITK library and web
service. Users upload images through website and the result, in this case
the size of tumor was sent back immediately. A specific image compression
technique was developed for this purpose. The smart cloud system was able to
measure the area and location of tumors, with average size of 19.91 ± 2.38 cm2 and an average response time
7.0 ± 0.3 s. The capability of
the server decreased when multiple clients accessed the system
simultaneously: 14 ± 0 s (5 parallel clients) and 27 ± 0.2 s (10
parallel clients). The cloud system was successfully developed to process
and analyze medical images for diagnosing brain diseases in this case for
tumor.
Keywords: Cloud system, ITK, web services, medical image, brain diseases
