Febrian Rachmadi

Febrian Rachmadi

Faculty Member, Faculty of Computer Science, Universitas Indonesia // Research Scientist, RIKEN Center for Brain Science

Characterisation of WMH in Brain MRI using Irregularity Map

In this project, we proposed a new modality produced from T2-FLAIR brain MRI named irregularity map (IM). Unlike probability map, IM captures regular and irregular regions by retaining changes of the original T2-FLAIR intensities (see Figure 1). This cannot be achieved with deep neural network algorithms, which are trained to reproduce manually generated binary masks. Furthremore, IM can also be produced without any supervision from human using unsupervised method Limited One-time Sampling Irregularity Map (LOTS-IM).

alt text Figure 1: Comparison between irregularity map, probability map (produced by DeepMedic), and binary mask.

Code repository: LOTS-IM

Published publications:

  • Rachmadi, M.F., Hernández, M.V., Li, H., Guerrero, R., Meijboom, R., Wiseman, S., Waldman, A., Zhang, J., Rueckert, D., Wardlaw, J. and Komura, T., (2020). Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images. In Computerized Medical Imaging and Graphics, 79, 101685. doi: doi.org/10.1016/j.compmedimag.2019.101685.
  • Jeong Y., Rachmadi M.F., Valdés Hernández M.C., and Komura T. (2019). Dilated Saliency U-Net for White Matter Hyperintensities Segmentation using Irregularity Age Map. In Frontiers in Aging Neuroscience, 11, 150. doi: doi.org/10.3389/fnagi.2019.00150
  • Rachmadi, M. F., Valdés-Hernández, M. D. C., & Komura, T. (2018, September). Automatic irregular texture detection in brain mri without human supervision. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 506-513). Springer, Cham. doi: 10.1007/978-3-030-00931-1_58
  • Rachmadi, M. F., Valdés-Hernández, M. D. C., & Komura, T. (2018, September). Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression using Irregularity Age Map in Brain MRI. In International Workshop on PRedictive Intelligence In MEdicine (pp. 85-93). Springer, Cham. doi: 10.1007/978-3-030-00320-3_11
  • Rachmadi, M. F., Valdés-Hernández, M. D. C., & Komura, T. (2017, October). Voxel-based irregularity age map (IAM) for brain’s white matter hyperintensities in MRI. In 2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS) (pp. 321-326). IEEE.