Titlebook: Bildverarbeitung für die Medizin 2023; Proceedings, German Thomas M. Deserno,Heinz Handels,Thomas Tolxdorff Conference proceedings 2023 De

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Enhancing Medical Image Segmentation with Anatomy-aware Label Dependency, body. However, a medical expert would include in their reasoning also the context around the organ. In this work, we propose reproducing this human behavior by enhancing the conventional multi-class segmentation pipeline with additional anatomical information. We apply this concept to a ventral org

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Planning of Spherical Volumes for Treating Renal Tumors by Thermal Ablation with Tissue Shrinkage Etumors, multiple overlapping ablations are imperative. Currently, there is limited software available that incorporates tissue shrinkage into planning for ablation therapy while predicting the lowest number of ablation zones with complete tumor coverage. In this work, a time-power-dependent model to

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Improved Tractography by Means of DL-based DWI Image Enhancement,ty between brain regions and planning operations on the brain. XTRACT is a recently developed program for automatically delineating 42 major WM tracts in high-quality DWI data. However, acquiring such data is time-consuming, limiting its clinical application. In this work, we propose using a deep ne

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Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT, is most commonly used as starting point for planning. However, native CT (nCT) is required for accurate dosimetry computations. In thiswork,we propose an in-silico method to remove the contrast agent from ceCT images so that the Hounsfield Units (HU) would be similar to those in nCT. Two approaches

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Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model,cale due to its high spatial resolution and strong bone to soft tissue contrast. Although in-vivo imaging of bone structures on the micro scale is desired from a medical perspective, high radiation dose so-far prohibits imaging living animals. Research has been focused on generating high-quality rec

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Lyme-disease

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