DIKU Bits: Reducing the need for general anesthesia in children undergoing neuroimaging by preparation and motion correction

On 30 November the IMAGE Section at Department of Computer Science, University of Copenhagen, will give a DIKU Bits lecture.

Speaker 

Melanie Ganz-Benjaminsen, Assistant Professor in the IMAGE Section at Department of Computer Science, University of Copenhagen.

Title

Reducing the need for general anesthesia in children undergoing neuroimaging by preparation and motion correction

Abstract

It is standard procedure in most Danish hospitals to employ general anesthesia when small children are undergoing medical imaging procedures. Movement during the image acquisition can cause serious distortions of the image invalidating its quality and leading to an erroneous conclusion. Our project aims to utilize recent developments in hardware technology in order to show that young children can undergo medical imaging procedures without anesthesia and obtain a high-quality diagnostic scan.

Bio

Which courses do you teach? Two MSc courses, MIA/Medical Image analysis and CMIS/Computerized models in simulation. I am also part of two courses for continuing education – the module automatic image analysis for the Digital Health continuing education and the course data analysis and machine learning for the nationwide MSc program for gymnasium teachers

Which technology/research/projects/startup are you excited to see the evolution of? Well obviously I am interested in the clinical application of our own project, both wrt preparation of children as well as wrt the motion correction capabilities of the MR scanners when using Tracoline and advanced MR sequences. In general, I am also very interested in data sharing projects, such as the OpenNeuroPET project I am co-leading at NRU. Here we try to make secure ways for sharing valuable research data within and outside of Europe.

What is your favorite sketch from the DIKUrevy? Unfortunately, I have never attended DIKUrevyen, so I can’t say.