Login / Signup

Reducing False-Positives in CT Perfusion Infarct Core Segmentation Using Contralateral Local Normalization.

Alexander RauReisert MarcoChristian A TaschnerTheo DemerathSamer ElsheikhBenedikt FrankMartin KöhrmannHorst UrbachElias Kellner
Published in: AJNR. American journal of neuroradiology (2024)
The proposed method of local normalization can reduce overestimation of the infarct core, especially in the deep WM and in cases with obvious microangiopathy. False-positives in CTP infarct core segmentation might lead to less-than-optimal therapy decisions when not correctly interpreted. The proposed method might help mitigate this problem.
Keyphrases
  • acute myocardial infarction
  • deep learning
  • convolutional neural network
  • computed tomography
  • image quality
  • stem cells
  • machine learning
  • magnetic resonance imaging
  • magnetic resonance
  • pet ct