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International Conference on Advanced Information Technology, Services and Systems

AIT2S 2018: Smart Data and Computational Intelligence pp 121–129Cite as

An Efficient Level Set Speed Function Based on Temperature Changes for Brain Tumor Segmentation

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 66))

Abstract

In clinical routine, accurate segmentation of brain tumors from Magnetic Resonance Images (MRI) plays an important role in diagnostic; it is a challenging and difficult task as brain tumors have various appearance properties. In this study, a modified level set speed function for accurate brain tumor segmentation applied on thermal images to reinforce brain tumors segmentation using MRI is presented. Tumor cells have high temperature compared to healthy cells, due to the high metabolic activity of abnormal cells. To calculate the thermal image we have used Pennes BioHeat Transfer Equation (PBHTE) resolved using Finite Difference Method (FDM). By analyzing the tumor thermal profile, the temperature is higher in the tumor center and is reduced as we move to the tumor borders; we have used this physical phenomenon in level set function for tumor segmentation. The proposed approach is tested in synthetic MRI images containing tumors with different volumes and locations. The obtained results showed that \( 10.29\,\% \) of brain tumor segmented correctly by level set method in the thermal image as a tumor part, contrarily in T1 which is segmented as healthy tissue, the same for T1c and Flair with \( 4.32\,\% \) and \( 22.58\,\% \) respectively. Therefore, the temperature can play an important role to improve the accuracy of brain tumor segmentation in MRI.

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Acknowledgements

This work is supported by the grant of the National Center for Scientific and Technical Research (CNRST - Morocco) (No. 13UH22016).

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Authors and Affiliations

  1. Laboratory SSDIA, ENSET Mohammedia, University Hassan 2 Casablanca, Casablanca, Morocco

    Abdelmajid Bousselham, Omar Bouattane, Mohamed Youssfi & Abdelhadi Raihani

Authors
  1. Abdelmajid Bousselham
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  2. Omar Bouattane
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  3. Mohamed Youssfi
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  4. Abdelhadi Raihani
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Corresponding author

Correspondence to Abdelmajid Bousselham .

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Editors and Affiliations

  1. Faculty of Sciences and Technologies, Mohammedia, Morocco

    Faddoul Khoukhi

  2. Faculty of Sciences and Technologies, Settat, Morocco

    Mohamed Bahaj

  3. Faculty of Sciences and Technologies, Boukhalef Tangier, Morocco

    Mostafa Ezziyyani

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Bousselham, A., Bouattane, O., Youssfi, M., Raihani, A. (2019). An Efficient Level Set Speed Function Based on Temperature Changes for Brain Tumor Segmentation. In: Khoukhi, F., Bahaj, M., Ezziyyani, M. (eds) Smart Data and Computational Intelligence. AIT2S 2018. Lecture Notes in Networks and Systems, vol 66. Springer, Cham. https://doi.org/10.1007/978-3-030-11914-0_13

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