Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation.

Robert GrafJoachim SchmittSarah SchlaegerHendrik Kristian MöllerVasiliki Sideri-LampretsaAnjany SekuboyinaSandro Manuel KriegBenedikt WiestlerBjoern MenzeDaniel RueckertJan Stefan Kirschke

Published in: European radiology experimental (2023)

• Unpaired image translation lacks in converting spine MRI to CT effectively. • Paired translation needs registration with two landmarks per vertebra at least. • Paired image-to-image enables segmentation transfer to other domains. • 3D translation enables super resolution from MRI to CT. • 3D translation prevents underprediction of small structures.

Keyphrases

deep learning
contrast enhanced
magnetic resonance imaging
convolutional neural network
computed tomography
magnetic resonance
image quality
dual energy
diffusion weighted imaging
machine learning
positron emission tomography
high throughput
single cell
mouse model