English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Sythetic 9T-like structural MRI using Generative Neural Network

Wang, Q., Steiglechner, J., & Lohmann, G. (2021). Sythetic 9T-like structural MRI using Generative Neural Network. In NeNa Conference 2021: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists) (pp. 14).

Item is

Basic

show hide
Genre: Meeting Abstract

Files

show Files

Creators

show
hide
 Creators:
Wang, Q1, 2, Author              
Steiglechner, J2, 3, Author              
Lohmann, G2, 3, Author              
Affiliations:
1Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528695              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

Content

show
hide
Free keywords: -
 Abstract: Aiming to tackle data deficiency in 9-Tesla Magnetic Resonance Image(MRI) anatomic images of human brain, which fits an adequate amount for deep neural network training, we applied generative neural networks to produce super-resolution 3D images based on extensive amount of 3T data. Such synthetic data own two main attributes to provide training model with essential features included in 9-Tesla images, ultra-high spatial resolution and the distinguishable contrast, thus a supervised neural network would gain better prediction accuracy benefiting from such realistic data augmentation. Additionally, such augmentation scheme avoids offending privacy from real patients as well as expensive scanning, especially when it comes to such data-driven neural network jobs. Moreover, high quality MR images better resolved contours of tissues and are helpful for follow-up data analysis, e.g. image registration, segmentation, etc., which employed advantage of the prevailing convolutional neural networks.

Details

show
hide
Language(s):
 Dates: 2021-10
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

Event

show
hide
Title: 22nd Conference of Junior Neuroscientists (NeNa 2021)
Place of Event: Tübingen, Germany
Start-/End Date: 2021-10-07

Legal Case

show

Project information

show

Source 1

show
hide
Title: NeNa Conference 2021: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: T13 Start / End Page: 14 Identifier: -