Efficient 3D medical image segmentation algorithm over a secured multimedia network


Image segmentation has proved its importance and plays an important role in various domains such as health systems and satellite-oriented military applications. In this context, accuracy, image quality, and execution time deem to be the major issues to always consider. Although many techniques have been applied, and their experimental results have shown appealing achievements for 2D images in real-time environments, however, there is a lack of works about 3D image segmentation despite its importance in improving segmentation accuracy. Specifically, HMM was used in this domain. However, it suffers from the time complexity, which was updated using different accelerators. As it is important to have efficient 3D image segmentation, we propose in this paper a novel system for partitioning the 3D segmentation process across several distributed machines. The concepts behind distributed multimedia network segmentation were employed to accelerate the segmentation computational time of training Hidden Markov Model (HMMs). Furthermore, a secure transmission has been considered in this distributed environment and various bidirectional multimedia security algorithms have been applied. The contribution of this work lies in providing an efficient and secure algorithm for 3D image segmentation. Through a number of extensive experiments, it was proved that our proposed system is of comparable efficiency to the state of art methods in terms of segmentation accuracy, security and execution time.

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Correspondence to Shadi Al-Zu’bi.

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2D :

2 Dimensional

3D :

3 Dimensional


Medical Image Processing


Hidden Markov Models


Computer Added Diagnosis


Advanced Encryption Standard


Object Of Interest


Region Of Interest


Graphical Processing Unit


Central Processing Unit

MINets :

Multimedia Information Networks


Convolutional Neural Network


Positron Emission Tomography

CT :

Computed Tomography


Magnetic Resonance Imaging


The International Electrotechnical Commission


National Electrical Manufacturer Association


Multi-Resolution Analysis


Digital Imaging and COmmunications


Transport Layer Security


Computerized Imaging Reference Systems

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Al-Zu’bi, S., Hawashin, B., Mughaid, A. et al. Efficient 3D medical image segmentation algorithm over a secured multimedia network. Multimed Tools Appl (2020). https://doi.org/10.1007/s11042-020-09160-6

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  • Image segmentation
  • Hidden Markov Model (HMM)
  • Computer aided diagnosis
  • Multimedia networking security
  • Distributed systems