AUTHOR=Zhang Tianchi , Zhang Jing , Xue Teng , Rashid Mohammad Hasanur 

TITLE=A Brain Tumor Image Segmentation Method Based on Quantum Entanglement and Wormhole Behaved Particle Swarm Optimization

JOURNAL=Frontiers in Medicine

VOLUME=Volume 9 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2022.794126

DOI=10.3389/fmed.2022.794126

ISSN=2296-858X

ABSTRACT=Purpose: Although classical techniques for image segmentation may work well for some images, they 
may perform poorly or not work at all for others. It often depends on the properties of the particular 
image segmentation task under study. The reliable segmentation of brain tumors in medical images 
represents a particularly challenging and essential task. For example, some brain tumors may exhibit 
complex so-called 'bottle-neck' shapes, essentially a circle with long indistinct tapering tail, known as 
a 'dual tail.' Such challenging conditions may not be readily segmented, particularly in the extended 
tail region or around the so-called 'bottle-neck area. In those cases, existing image segmentation 
techniques often fail to work well.
Methods: Existing research on image segmentation using wormhole theory is first analyzed. Next, a 
random positioning search method that uses a quantum-behaved particle swarm optimization (QPSO) 
approach is improved by using a hyperbolic wormhole path measure for seeding and linking 
particles. Finally, our novel quantum and wormhole-behaved particle swarm optimization (QWPSO) 
is proposed.
Results: Experimental results show that our QWPSO algorithm can better cluster complex 'dual tail' 
regions into groupings with greater adaptability than conventional QPSO. Experimental work also 
improves operational efficiency and segmentation accuracy compared with current competing 
reference methods.
Conclusion: Our QWPSO method appears extremely promising for isolating smeared / indistinct 
regions of complex shape typical of medical image segmentation tasks. The technique is especially 
advantageous for segmentation in the so-called 'bottle-neck' and 'dual tail'-shaped regions appearing 
in brain tumor images.