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Breast Deformation Modeling Based on MRI Images, Preliminary Results

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 472))

Abstract

Increasing number of people are suffering from cancer these days. The highest incidence among women is breast cancer. One of the main sources of diagnostic information is Magnetic Resonance Imaging (MRI). Another one is Positron Emission Tomography with Computer Thomography (PET-CT). Both examinations take place in different patient positions (prone and supine respectively). The only way to obtain complete diagnostic information is to bring MRI images into PET-CT space and compare both. Our preliminary studies focus on creating a simple, deformable finite element model of the breast. Proposed algorithm allows to obtain breast model in supine position, created from MRI images obtained in prone position.

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Acknowledgments

This work was supported by the National Science Centre NCN under Grant No. 2011/03/B/ST6/04384 (AS), the National Centre for Research and Development under grant number PBS/32/RJP8/2015/514 (DB) and the Institute of Automatic Control under Grant No. BKM-514/RAU1/2015/t.12 (MDW). This work was supported by Scholarship Program “DoktoRIS—Program stypendialny na rzecz innowacyjnego Slaska”.

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Correspondence to Marta Danch-Wierzchowska .

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Danch-Wierzchowska, M., Borys, D., Swierniak, A. (2016). Breast Deformation Modeling Based on MRI Images, Preliminary Results. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-319-39904-1_20

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  • DOI: https://doi.org/10.1007/978-3-319-39904-1_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39903-4

  • Online ISBN: 978-3-319-39904-1

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