EuroSafe Imaging Session

EU 13 - Assessment of artificial intelligence (AI)-based methods for image reconstruction and improvement

Lectures

1
Chairpersons' introduction

Chairpersons' introduction

05:00Christoph Hoeschen, Magdeburg / DE, Elmar Kotter, Freiburg Im Breisgau / DE

2
Specification of training, test, and validation data from a clinical perspective

Specification of training, test, and validation data from a clinical perspective

15:00Federica Vernuccio, Palermo / IT

3
Problems of assessing AI-based CT image reconstruction, denoising or artefact reduction

Problems of assessing AI-based CT image reconstruction, denoising or artefact reduction

15:00Marc Kachelrieß, Heidelberg / DE

4
Variable phantoms as a potential solution

Variable phantoms as a potential solution

10:00Christoph Hoeschen, Magdeburg / DE

5
Evaluation of image quality after AI-based image reconstruction

Evaluation of image quality after AI-based image reconstruction

15:00Mika Kortesniemi, Espoo / FI

6
Data analysis and statistical tests as a potential assessment strategy

Data analysis and statistical tests as a potential assessment strategy

15:00Sarina Thomas, Oslo / NO

7
Panel discussion: What do you need for quality assessment when using AI image processing?

Panel discussion: What do you need for quality assessment when using AI image processing?

15:00Panel discussion: What do you need for quality assessment when using AI image processing?

AI-based methods for image reconstruction and improvement are increasingly developed to be used in clinical routine. The objective of this session is to learn about the methods to train, test and validate these algorithms, to know about the benefits and potential problems when using them, and to understand how quality of the algorithms and images can be assessed and what is mandatory to achieve useful methods for clinical applications especially with regard to training, test and validation data.
5 min
Chairpersons' introduction
Elmar Kotter, Freiburg Im Breisgau / Germany
Christoph Hoeschen, Magdeburg / Germany
15 min
Specification of training, test, and validation data from a clinical perspective
Federica Vernuccio, Palermo / Italy
15 min
Problems of assessing AI-based CT image reconstruction, denoising or artefact reduction
Marc Kachelrieß, Heidelberg / Germany
10 min
Variable phantoms as a potential solution
Christoph Hoeschen, Magdeburg / Germany
15 min
Evaluation of image quality after AI-based image reconstruction
Mika Kortesniemi, Espoo / Finland
15 min
Data analysis and statistical tests as a potential assessment strategy
Sarina Thomas, Oslo / Norway
15 min
Panel discussion: What do you need for quality assessment when using AI image processing?

This session offers AI-generated subtitles.