This is an outdated version published on 2024-05-04. Read the most recent version.

ENHANCEMENT OF BRAIN MRI IMAGE DATABASE USING CYCLEGAN

Authors

  • Thanh Hán Trọng Trường Điện-Điện tử, ĐHBKHN
  • Kien Le Trung
  • Phuong Nguyen Anh

Keywords:

Brain Tumor, Magnetic Resonance Imaging, Artificial Intelligence, Generative Adversarial Networks, CycleGAN

Abstract

Generating tumor images on brain MRI scans at random locations can assist medical researchers and medical students in predicting the likelihood of tumors. However, brain MRI images with tumors are rare in practice, making the collection of MRI image data with brain tumors a time-consuming process. In this study, we propose the application of CycleGAN to generate T2 pulse sequence MRI images of the human brain from T2 Flair pulse sequence images of the same type and vice versa, thereby increasing the number of MRI images of various types. The returned results will be evaluated and compared with other studies based on FID, SSMI, and PSNR metrics.

Published

2024-05-04

Versions

Issue

Vol. 1 No. 3 (2023): Journal of Science and Technology on Information and Communications

Section

Electronics and Telecommunications