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Congress: ECR25
Poster Number: C-15949
Type: Poster: EPOS Radiologist (scientific)
DOI: 10.26044/ecr2025/C-15949
Authorblock: G. Hang, I. X. H. Tan, O. Nickalls, P. Salkade, B. K. N. Prakash, H. Chi Long; Singapore/SG
Disclosures:
Guanqi Hang: Nothing to disclose
Isaac Xu Hao Tan: Nothing to disclose
Oliver Nickalls: Nothing to disclose
Parag Salkade: Nothing to disclose
Bhanu K. N. Prakash: Nothing to disclose
Ho Chi Long: Grant Recipient: SingHealth Duke-NUS AM & NHIC - Joint MedTech Grant
Keywords: Artificial Intelligence, CNS, Neuroradiology brain, MR, Experimental investigations, Geriatrics
Purpose
  • To develop normative brain atlases for the Singaporean Chinese population across various age groups.
  • To extract region-specific gray and white matter volumetrics (BVM) from MRI scans.
  • To establish a comprehensive BVM database tailored to the Singaporean Chinese population.
  • To apply deep learning and machine learning algorithms for precise brain volumetric analysis, incorporating explainable AI for model transparency.
  • To utilize feature selection methods to identify brain regions linked to accelerated brain aging.
GALLERY