Evaluation of convolutional neural networks as an alternative for the non-linear fitting for multiple exposure speckle imaging of blood flow - Institut d'Optique Graduate School Access content directly
Conference Papers Year : 2023

Evaluation of convolutional neural networks as an alternative for the non-linear fitting for multiple exposure speckle imaging of blood flow

Abstract

We evaluate in the present study the implementation of a residual convolutional neural network (CNN) to extract blood flow maps based on MESI synthetic exposure data as an alternative to the non-linear fit method. The neural network has been trained on a MESI speckle contrast images database developed using microfluidic channels of various diameter and controlled flows both representative of the physiology of rodents brains.
No file

Dates and versions

hal-04392992 , version 1 (14-01-2024)

Identifiers

  • HAL Id : hal-04392992 , version 1

Cite

Marc Chammas, Chao-Yueh Yu, Hirac Gurden, Frederic Pain, Hsin-Hon Lin. Evaluation of convolutional neural networks as an alternative for the non-linear fitting for multiple exposure speckle imaging of blood flow. European Conferences on Biomedical Optics, SPIE-OSA, Jun 2023, Munich (Allemagne), Germany. ⟨hal-04392992⟩
13 View
0 Download

Share

Gmail Facebook X LinkedIn More