Paris, France, September 22 – 24, 2021 (held in a hybrid format)


Getting an overview in bio (and medicine)
An Exploration of Practice and Preferences for the Visual Communication of Biomedical Processes
Laura Garrison, Monique Meuschke, Jennifer Fairman, Noeska N. Smit, Bernhard Preim, and Stefan Bruckner
Polar Space Based Shape Averaging for Star-shaped Biological Objects
Karina Ruzaeva, Katharina Nöh, and Benjamin Berkels
Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization
Daniel Pahr, Hsiang-Yun Wu, and Renata Georgia Raidou
Shooting rays of sorts through people
Strategies for Generating Multi-Time Frame Localization of Cardiac MRI
Samin Sabokrohiyeh, Kathleen Ang, and Faramarz Samavati
Visual Assessment of Growth Prediction in Brain Structures after Pediatric Radiotherapy
Caroline Magg, Laura Toussaint, Ludvig P. Muren, Danny J. Indelicato, and Renata Georgia Raidou
Let's look into your brains
The Role of Depth Perception in XR from a Neuroscience Perspective: A Primer and Survey
Vetle Hushagen, Gustav C. Tresselt, Noeska N. Smit, and Karsten Specht
Reducing Model Uncertainty in Crossing Fiber Tractography
Johannes Gruen, Gemma van der Voort, and Thomas Schultz
Interactive Multimodal Imaging Visualization for Multiple Sclerosis Lesion Analysis
Sherin Sugathan, Hauke Bartsch, Frank Riemer, Renate Grüner, Kai Lawonn, and Noeska N. Smit
The path that blood takes
Automatic Cutting and Flattening of Carotid Artery Geometries
Pepe Eulzer, Kevin Richter, Monique Meuschke, Anna Hundertmark, and Kai Lawonn,
2.5D Geometric Mapping of Aortic Blood Flow Data for Cohort Visualization
Benjamin Behrendt, David Pleuss-Engelhardt, Matthias Gutberlet, and Bernhard Preim
Automatic Animations to Analyze Blood Flow Data
Vikram Apilla, Benjamin Behrendt, Kai Lawonn, Bernhard Preim, and Monique Meuschke
Shading Style Assessment for Vessel Wall and Lumen Visualization
Kai Ostendorf, Domenico Mastrodicasa, Kathrin Bäumler, Marina Codari, Valery Turner, Martin J. Willemink, Dominik Fleischmann, Bernhard Preim, and Gabriel Mistelbauer
From the spatial to the abstract
Multiple Scale Visualization of Electronic Health Records to Support Finding Medical Narratives
Sanne van der Linden, Jarke J. van Wijk, and Mathias Funk
PerSleep: A Visual Analytics Approach for Performance Assessment of Sleep Staging Models
Humberto S. Garcia Caballero, Alberto Corvò, Fokke van Meulen, Pedro Fonseca, Sebasitaan Overeem, Jarke J. van Wijk, and Michel A. Westenberg
Conspiring to cut people open
AR-Assisted Craniotomy Planning for Tumour Resection
Joost Wooning, Mohamed Benmahdjoub, Theo van Walsum, and Ricardo Marroquim
Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction
Jana Martschinke, Vanessa Klein, Philipp Kurth, Klaus Engel, Ingo Ludolph, Theresa Hauck, Raymund Horch, and Marc Stamminger

Recent Submissions

  • Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction 

    Martschinke, Jana; Klein, Vanessa; Kurth, Philipp; Engel, Klaus; Ludolph, Ingo; Hauck, Theresa; Horch, Raymund; Stamminger, Marc (The Eurographics Association, 2021)
    Nowadays, many surgical procedures require preoperative planning, mostly relying on data from 3D imaging techniques like computed tomography or magnetic resonance imaging. However, preoperative assessment of this data is ...
  • 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 ...
  • PerSleep: A Visual Analytics Approach for Performance Assessment of Sleep Staging Models 

    Garcia Caballero, Humberto S.; Corvò, Alberto; Meulen, Fokke van; Fonseca, Pedro; Overeem, Sebasitaan; Wijk, Jarke J. van; Westenberg, Michel A. (The Eurographics Association, 2021)
    Machine learning is becoming increasingly popular in the medical domain. In the near future, clinicians expect predictive models to support daily tasks such as diagnosis and prognostic analysis. For this reason, it is ...
  • Multiple Scale Visualization of Electronic Health Records to Support Finding Medical Narratives 

    Linden, Sanne van der; Wijk, Jarke J. van; Funk, Mathias (The Eurographics Association, 2021)
    Electronic Health Records (EHRs) contain rich medical information about patients, possibly hundreds of notes, lab results, images and other information. Doctors can easily be overwhelmed by this wealth of information. For ...
  • Shading Style Assessment for Vessel Wall and Lumen Visualization 

    Ostendorf, Kai; Mastrodicasa, Domenico; Bäumler, Kathrin; Codari, Marina; Turner, Valery; Willemink, Martin J.; Fleischmann, Dominik; Preim, Bernhard; Mistelbauer, Gabriel (The Eurographics Association, 2021)
    Current blood vessel rendering usually depicts solely the surface of vascular structures and does not visualize any interior structures. While this approach is suitable for most applications, certain cardiovascular diseases, ...
  • 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 ...
  • 2.5D Geometric Mapping of Aortic Blood Flow Data for Cohort Visualization 

    Behrendt, Benjamin; Pleuss-Engelhardt, David; Gutberlet, Matthias; Preim, Bernhard (The Eurographics Association, 2021)
    Four-dimensional phase-contrast magnetic resonance imaging (4D PC-MRI) allows for a non-invasive acquisition of timeresolved blood flow measurements, providing a valuable aid to clinicians and researchers seeking a better ...
  • 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 ...
  • Reducing Model Uncertainty in Crossing Fiber Tractography 

    Gruen, Johannes; Voort, Gemma van der; Schultz, Thomas (The Eurographics Association, 2021)
    Diffusion MRI (dMRI) tractography permits the non-invasive reconstruction of major white matter tracts, and is therefore widely used in neurosurgical planning and in neuroscience. However, it is affected by various sources ...
  • Interactive Multimodal Imaging Visualization for Multiple Sclerosis Lesion Analysis 

    Sugathan, Sherin; Bartsch, Hauke; Riemer, Frank; Grüner, Renate; Lawonn, Kai; Smit, Noeska N. (The Eurographics Association, 2021)
    Multiple Sclerosis (MS) is a brain disease that is diagnosed and monitored extensively through MRI scans. One of the criteria is the appearance of so-called brain lesions. The lesions show up on MRI scans as regions with ...
  • Visual Assessment of Growth Prediction in Brain Structures after Pediatric Radiotherapy 

    Magg, Caroline; Toussaint, Laura; Muren, Ludvig P.; Indelicato, Danny J.; Raidou, Renata Georgia (The Eurographics Association, 2021)
    Pediatric brain tumor radiotherapy research is investigating how radiation influences the development and function of a patient's brain. To better understand how brain growth is affected by the treatment, the brain structures ...
  • The Role of Depth Perception in XR from a Neuroscience Perspective: A Primer and Survey 

    Hushagen, Vetle; Tresselt, Gustav C.; Smit, Noeska N.; Specht, Karsten (The Eurographics Association, 2021)
    Augmented and virtual reality (XR) are potentially powerful tools for enhancing the efficiency of interactive visualization of complex data in biology and medicine. The benefits of visualization of digital objects in XR ...
  • Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization 

    Pahr, Daniel; Wu, Hsiang-Yun; Raidou, Renata Georgia (The Eurographics Association, 2021)
    Real-world sculptures that display patient imaging data for anatomical education purposes have seen a recent resurgence through the field of data physicalization. In this paper, we describe an automated process for the ...
  • Strategies for Generating Multi-Time Frame Localization of Cardiac MRI 

    Sabokrohiyeh, Samin; Ang, Kathleen; Samavati, Faramarz (The Eurographics Association, 2021)
    4D Flow MRI is a recent promising technology that is able to capture blood flow information within the heart chambers over a cardiac cycle. To accurately study the flow inside the chambers, there is a need for a high quality ...
  • Polar Space Based Shape Averaging for Star-shaped Biological Objects 

    Ruzaeva, Karina; Nöh, Katharina; Berkels, Benjamin (The Eurographics Association, 2021)
    In this paper, we propose an averaging method for expert segmentation proposals of microbial organisms, resulting in a smooth, naturally looking segmentation ground truth. The approach exploits a geometrical property of ...
  • An Exploration of Practice and Preferences for the Visual Communication of Biomedical Processes 

    Garrison, Laura; Meuschke, Monique; Fairman, Jennifer; Smit, Noeska N.; Preim, Bernhard; Bruckner, Stefan (The Eurographics Association, 2021)
    The visual communication of biomedical processes draws from diverse techniques in both visualization and biomedical illustration. However, matching these techniques to their intended audience often relies on practice-based ...
  • VCBM 2021: Frontmatter 

    Oeltze-Jafra, Steffen; Smit, Noeska N.; Sommer, Björn; Nieselt, Kay; Schultz, Thomas (The Eurographics Association, 2021)