Search Results for author: Christoph Hennersperger

Found 6 papers, 2 papers with code

Speckle2Speckle: Unsupervised Learning of Ultrasound Speckle Filtering Without Clean Data

1 code implementation31 Jul 2022 Rüdiger Göbl, Christoph Hennersperger, Nassir Navab

To enable this, we make use of realistic ultrasound simulation techniques that allow for instantiation of several independent speckle realizations that represent the exact same tissue, thus allowing for the application of image reconstruction techniques that work with pairs of differently corrupted data.

Image Reconstruction

Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations

no code implementations18 Apr 2019 Julia Rackerseder, Rüdiger Göbl, Nassir Navab, Christoph Hennersperger

Trained on the dataset alone, we report a Dice and Jaccard coefficient of $0. 45 \pm 0. 09$ and $0. 30 \pm 0. 07$ respectively, as well as an average distance of $0. 78 \pm 0. 36~mm$.


Redefining Ultrasound Compounding: Computational Sonography

no code implementations5 Nov 2018 Rüdiger Göbl, Diana Mateus, Christoph Hennersperger, Maximilian Baust, Nassir Navab

By providing a novel paradigm for the acquisition and reconstruction of tracked freehand 3D ultrasound, this work presents the concept of Computational Sonography (CS) to model the directionality of ultrasound information.

SUPRA: Open Source Software Defined Ultrasound Processing for Real-Time Applications

1 code implementation16 Nov 2017 Rüdiger Göbl, Nassir Navab, Christoph Hennersperger

Including all processing stages of a usual ultrasound pipeline, the run-time analysis shows that it can be executed in 2D and 3D on consumer GPUs in real-time.

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