Random Forest and Gradient Boosted Trees for Patient Individualized Contrast Agent Dose Reduction in CT Angiography Har passerat
Onsdag 24 maj 2023 11:15 - 11:30 G2
Föreläsare: René Pallenberg
Spår: MIE: Sensors, signals and Imaging Informatics
Språk
English
Seminarietyp
Enbart på plats
Kunskapsnivå
Avancerad
Konferens
MIE
Författare
René Pallenberg, Marja Fleitmann, Andreas Martin Stroth, Alexander Fürschke, Jan Gerlach, Jörg Barkhausen, Arpad Bischof, Heinz Handels
Föreläsare
René Pallenberg Föreläsare
research associate
University of Lübeck
Hello, my name is René Pallenberg and I am a research associate at the Institute for Signal Processing at the University of Lübeck. I hold a Master of Science in Medical Informatics.
My research focuses on the processing of medical images and signals. One of my publications deals with the automatic quality measurement of aortic contrast-enhanced CT angiographies for patient-specific dose optimization.
I will be presenting my work titled “Random Forest and Gradient Boosted Trees for Patient Individualized Contrast Agent Dose Reduction in CT Angiography”. In this work, I investigate how clinical parameters can be used to predict the quality of a CT angiography. This could be used to selectively reduce the contrast agent dose in CT angiographies for individual patients.
I look forward to sharing my work with you and answering your questions.
[1] R. Pallenberg et al., “Automatic quality measurement of aortic contrast-enhanced CT angiographies for patient-specific dose optimization,” vol. 15, no. 10, pp. 1611–1617, 2020.