661-01-009 ISMRM Abstract

A latent space optimization framework for arterial spin labeling-based cerebral blood flow maps reconstruction

Primary: Acquisition & Reconstruction - Image Reconstruction: AI

Secondary: Analysis Methods - Image Enhancement

661-01-009 · Advances in ASL · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row B

Keywords: AI/ML Image Reconstruction Arterial Spin Labelling (ASL) Variational Autoencoder Particle Swarm Optimization

Accepted

Dhanashri Joshi ¹, Amol Gautam², Bhushan Borotikar¹

¹Symbiosis Centre for Medical Image Analysis, Symbiosis International University, Pune, India

²Symbiosis University Hospital and Research Centre, Symbiosis International University, Pune, India

Presenting Author: Dhanashri Joshi

Synopsis

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References

1. Haller S, Zaharchuk, Thomas D. L., K.-O. Lovblad, F. Barkhof, and X. Golay, “Arterial spin labeling perfusion of the brain: emerging clinical applications,” Radiology, 281(2):337–356, 2016. doi: 10.1148/radiol.2016150789 [doi]

2. Xie D, Li Y, Yang H, Bai L, Wang T, Zhou F, Zhang L, Wang Z. “Denoising arterial spin labeling perfusion MRI with deep machine learning.” Magn Reson Imaging. 2020; 68:95–105. doi: 10.1016/j.mri.2020.01.005 [doi]

3. Shi Y, Eberhart RC. “A modified particle swarm optimizer.” In: Proceedings of the IEEE International Conference on Evolutionary Computation (ICEC). IEEE; 1998. p. 69–73. doi: 10.1109/ICEC.1998.699146 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/661-01-009