Comparison of MRI Image Segmentation Methods for Radiation-Induced Brain Edema After Radiotherapy for Patients with Intracranial Tumors

Chin Shiuh Shieh, Chi Ming Chou, Chen Lin Kang, Chin Dar Tseng, Chia Chi Yen, Wei Chun Lin, Pei Ju Chao, Hsuan Chih Hsu, Yu Jie Huang, Tsair Fwu Lee*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


When patients receive stereotactic radiosurgery (SRS) treatment, more intracranial tumor cells usually need to be eliminated, and high radiation doses are required to improve tumor control rates. However, high doses can cause damage to the normal tissues around the intracranial tumor, resulting in normal tissues being unable to repair, and this leads to the complication of radiation-induced brain edema. This study examines the feasibility and relative effectiveness of three different image segmentation algorithms, as applied to the evaluation of hydrocephalus initiated by the radiative treatment of patients with intracranial tumors. We implemented three different segmentation algorithms to automate the tagging of brain edema regions, namely watershed transform segmentation, K-mean segmentation, and region growing segmentation. Two performance indices, Dice and Jaccard, were employed in our experiments. A performance index close to 1 is an indication of good correlation. Experimental results reveal that the region growing segmentation outperforms the other two. The region growing segmentation, K-mean segmentation, and watershed transform segmentation have Dice index values of 0.77, 0.72, and 0.71, respectively, and have Jaccard index values of 0.60, 0.56, and 0.55, respectively. Among the subjects of this comparative study, the region growing segmentation is superior in resembling the marking of brain edema suggested by expert clinicians.

Original languageEnglish
Title of host publicationSpringer Proceedings in Materials
PublisherSpringer Nature
Number of pages15
StatePublished - 2021

Publication series

NameSpringer Proceedings in Materials
ISSN (Print)2662-3161
ISSN (Electronic)2662-317X

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Brain edema
  • Image segmentation
  • Intracranial tumors
  • Stereotactic radiosurgery (SRS)


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