Consideration of CNR and Resolution of 3D T2 CUBE Combined with Deep Learning Reconstruction Aimed at Reducing Examination Time

Hiroaki Minami

Presentation information

Oral Session

Oral Session
Deep Learning Techniques 3

Sat. Sep 21, 2024 1:40 PM - 2:40 PM Room 5 (Makuhari Messe International Conference Hall, Meeting Room 302)

Chairs: Yasuhiko Terada(Institute of Pure and Applied Physics, University of Tsukuba), Ota Junko(National Institutes for Quantum Science and Technology)

[OS2-52] Consideration of CNR and Resolution of 3D T2 CUBE Combined with Deep Learning Reconstruction Aimed at Reducing Examination Time

*Hiroaki Minami¹, Yuuta Isono¹, Tatsuhito Tsukui¹, Yoshito Nakajima¹, Hiroaki Hagiwara¹ (1. Department of Radiology, Yokohama Minami Kyousai Hospital)

Abstract password authentication.
The password will be provided to those who have registered.
It will also be written on the name card that you will be given when you participate on-site.

Presentation information

Oral SessionDeep Learning Techniques 3

[OS2-52] Consideration of CNR and Resolution of 3D T2 CUBE Combined with Deep Learning Reconstruction Aimed at Reducing Examination Time

Password

Oral Session
Deep Learning Techniques 3