Fetal Brain Border Detection from MRI using Chain Code Algorithm

Authors

  • Gayathri SP Department of Computer Science, Sakthi College of Arts and Science for Women, Oddanchatram
  • Somasundaram K Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Dindigul, India.
  • Shankar RS Department of Computer Applications, Madanapalle Institute of Technology and Science (UGC-Autonomous), Madanapalle-517325, Andhra Pradesh, India.

Keywords:

fetal brain, chain code, feature extraction

Abstract

Magnetic Resonance Imaging of fetal brain facilitates to evaluate in-utero fetal brain development. Segmentation of fetal brain from MRI is a challenging task due to significant changes in terms of geometry as well as tissue morphology. In order to make ease of segmentation, fetal brain border is detected using chain code algorithm. Detected brain border is used further through in which query images will be extracted from fetal MRI database. This work will be extended with feature extraction and 3D modeling of fetal brain in a little while

References

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Published

2025-11-13

How to Cite

[1]
S. Gayathri, K. Somasundaram, and R. Shankar, “Fetal Brain Border Detection from MRI using Chain Code Algorithm”, Int. J. Comp. Sci. Eng., vol. 6, no. 4, pp. 236–238, Nov. 2025.

Issue

Vol. 6 No. 4 (2018): IJCSE Special Issue May Edition

Section

Research Article

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