Now showing items 1-20 of 46

    • Analyzing Protein Similarity by Clustering Molecular Surface Maps 

      Schatz, Karsten; Frieß, Florian; Schäfer, Marco; Ertl, Thomas; Krone, Michael (The Eurographics Association, 2020)
      Many biochemical and biomedical applications like protein engineering or drug design are concerned with finding functionally similar proteins, however, this remains to be a challenging task. We present a new imaged-based ...
    • AR-Assisted Craniotomy Planning for Tumour Resection 

      Wooning, Joost; Benmahdjoub, Mohamed; Walsum, Theo van; Marroquim, Ricardo (The Eurographics Association, 2021)
      Craniotomy is a procedure where neurosurgeons open the patient's skull to gain direct access to the brain. The craniotomy's position defines the access path from the skull surface to the tumour and, consequently, the healthy ...
    • Automatic Animations to Analyze Blood Flow Data 

      Apilla, Vikram; Behrendt, Benjamin; Lawonn, Kai; Preim, Bernhard; Meuschke, Monique (The Eurographics Association, 2021)
      We present an approach for computing camera animations composed of optimal views to support the visual exploration of blood flow data using cerebral aneurysms as major example. Medical researchers are interested in hemodynamic ...
    • Automatic Cutting and Flattening of Carotid Artery Geometries 

      Eulzer, Pepe; Richter, Kevin; Meuschke, Monique; Hundertmark, Anna; Lawonn, Kai; , (The Eurographics Association, 2021)
      We propose a novel method to cut and flatten vascular geometry that results in an intuitive mapping between the 3D and 2D domains. Our approach is fully automatic, and the sole input is the vessel geometry. We aim to ...
    • Automatic Thrombus Detection in Non-enhanced Computed Tomography Images in Patients With Acute Ischemic Stroke 

      Löber, Patrick; Stimpel, Bernhard; Syben, Christopher; Maier, Andreas; Ditt, Hendrik; Schramm, Peter; Raczkowski, Boy; Kemmling, André (The Eurographics Association, 2017)
      In case of an ischemic stroke, identifying and removing blood clots is crucial for a successful recovery. We present a novel method to automatically detect vascular occlusion in non-enhanced computed tomography (NECT) ...
    • Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding 

      Martinke, Hannes; Petry, Christian; Großkopf, Stefan; Suehling, Michael; Soza, Grzegorz; Preim, Bernhard; Mistelbauer, Gabriel (The Eurographics Association, 2017)
      The assessment of rib bone fractures and lesions consists of many images that have to be thoroughly inspected slice-by-slice and rib-by-rib. Existing visualization methods, such as curved planar reformation (CPR), reduce ...
    • Communicating Pathologies and Growth to a General Audience 

      Mittenentzwei, Sarah; Mlitzke, Sophie; Lawonn, Kai; Preim, Bernhard; Meuschke, Monique (The Eurographics Association, 2023)
      In this paper, we investigate the suitability of different visual representations of pathological growth using surface models of intracranial aneurysms and liver tumors. By presenting complex medical information in a ...
    • CT-Based Navigation Guidance for Liver Tumor Ablation 

      Alpers, Julian; Hansen, Christian; Ringe, Kristina; Rieder, Christian (The Eurographics Association, 2017)
      Image-guided thermal ablation procedures such as microwave ablation (MWA) or radiofrequency ablation (RFA) have become clinically accepted treatment options for liver tumors. The goal of these minimally invasive procedures ...
    • Estimation of Muscle Activity in One-Leg Stance from 3D Surface Deformation 

      Metzler, Johannes; Neumann, Thomas; Gassel, Stefanie; Friedrich, Jens; Wacker, Markus (The Eurographics Association, 2018)
      Muscular activity during human motion is usually quantified by measuring the electrical potential during muscle activation using electromyography (EMG). However, apart from producing electrical activity, muscular contraction ...
    • Feature Exploration using Local Frequency Distributions in Computed Tomography Data 

      Falk, Martin; Ljung, Patric; Lundström, Claes; Ynnerman, Anders; Hotz, Ingrid (The Eurographics Association, 2020)
      Frequency distributions (FD) are an important instrument when analyzing and investigating scientific data. In volumetric visualization, for example, frequency distributions visualized as histograms, often assist the user ...
    • Global and Local Mesh Morphing for Complex Biological Objects from µCT Data 

      Knötel, David; Becker, Carola; Scholtz, Gerhard; Baum, Daniel (The Eurographics Association, 2018)
      We show how biologically coherent mesh models of animals can be created from µCT data to generate artificial yet naturally looking intermediate objects. The whole pipeline of processing algorithms is presented, starting ...
    • A Guided Spatial Transformer Network for Histology Cell Differentiation 

      Aubreville, Marc; Krappmann, Maximilian; Bertram, Christof; Klopfleisch, Robert; Maier, Andreas (The Eurographics Association, 2017)
      Identification and counting of cells and mitotic figures is a standard task in diagnostic histopathology. Due to the large overall cell count on histological slides and the potential sparse prevalence of some relevant cell ...
    • ICG based Augmented-Reality-System for Sentinel Lymph Node Biopsy 

      Noll, Matthias; Noa-Rudolph, Werner; Wesarg, Stefan; Kraly, Michael; Stoffels, Ingo; Klode, Joachim; Spass, Cédric; Spass, Gerrit (The Eurographics Association, 2018)
      In this paper we introduce a novel augmented-reality (AR) system for the sentinel lymph node (SLN) biopsy. The AR system consists of a cubic recording device with integrated stereo near-infrared (NIR) and stereo color ...
    • InkVis: A High-Particle-Count Approach for Visualization of Phase-Contrast Magnetic Resonance Imaging Data 

      de Hoon, Niels; Lawonn, Kai; Jalba, Andrei; Eisemann, Elmar; Vilanova, Anna (The Eurographics Association, 2019)
      Phase-Contrast Magnetic Resonance Imaging (PC-MRI) measures volumetric and time-varying blood flow data, unsurpassed in quality and completeness. Such blood-flow data have been shown to have the potential to improve both ...
    • InShaDe: Invariant Shape Descriptors for Visual Analysis of Histology 2D Cellular and Nuclear Shapes 

      Agus, Marco; Al-Thelaya, Khaled; Cali, Corrado; Boido, Marina M.; Yang, Yin; Pintore, Giovanni; Gobbetti, Enrico; Schneider, Jens (The Eurographics Association, 2020)
      We present a shape processing framework for visual exploration of cellular nuclear envelopes extracted from histology images. The framework is based on a novel shape descriptor of closed contours relying on a geodesically ...
    • An Interaction Metaphor for Enhanced VR-based Volume Segmentation 

      Monclús, Eva; Vázquez, Pere-Pau (The Eurographics Association, 2023)
      The segmentation of medical models is a complex and time-intensive process required for both diagnosis and surgical preparation. Despite the advancements in deep learning, neural networks can only automatically segment a ...
    • Interactive CPU-based Ray Tracing of Solvent Excluded Surfaces 

      Rau, Tobias; Zahn, Sebastian; Krone, Michael; Reina, Guido; Ertl, Thomas (The Eurographics Association, 2019)
      Depictions of molecular surfaces such as the Solvent Excluded Surface (SES) can provide crucial insight into functional molecular properties, such as the molecule's potential to react. The interactive visualization of ...
    • Molecular Sombreros: Abstract Visualization of Binding Sites within Proteins 

      Schatz, Karsten; Krone, Michael; Bauer, Tabea L.; Ferrario, Valerio; Pleiss, Jürgen; Ertl, Thomas (The Eurographics Association, 2019)
      We present a novel abstract visualization for the binding sites of proteins. Binding sites play an essential role in enzymatic reactions and are, thus, often investigated in structural biology. They are typically located ...
    • MRI Hip Joint Segmentation: A Locally Bhattacharyya Weighted Hybrid 3D Level Set Approach 

      Pham, Duc Duy; Morariu, Cosmin Adrian; Terheiden, Tobias; Landgraeber, Stefan; Jäger, Marcus; Pauli, Josef (The Eurographics Association, 2017)
      In this paper, we propose a novel hybrid level set approach that locally balances the combined use of both Gradient Vector Flow and region based energy cost function by means of the Bhattacharyya coefficient. The local ...
    • MuSIC: Multi-Sequential Interactive Co-Registration for Cancer Imaging Data based on Segmentation Masks 

      Eichner, Tanja; Mörth, Eric; Wagner-Larsen, Kari S.; Lura, Njål; Haldorsen, Ingfrid S.; Gröller, Eduard; Bruckner, Stefan; Smit, Noeska N. (The Eurographics Association, 2022)
      In gynecologic cancer imaging, multiple magnetic resonance imaging (MRI) sequences are acquired per patient to reveal different tissue characteristics. However, after image acquisition, the anatomical structures can be ...