Awards
Research Topics
- Intracardiac Data
Research Topics
Here you can find an overview of our current research topics. There is also a list of awards of the visualization group available: go to awards page.
Animation- & Exploration-Techniques on Geometric Models
In this project we develop facilities to create medical animations for intervention planning as well as for educational purposes. We also discuss the enhancement of interactive explorations with animations generated on the fly.
Computer-based Therapy Planning for Neck and Liver
The aim of this project consists in developing methods for image analysis, visualization, and exploration of ENT and liver surgery planning. We focus on simulation of endoscopic intervention due to a user-driven navigation, usage of illustrative rendering techniques and model-based image analsysis
Illustrative Visualization
In traditional illustrations, many well established techniques exist to communicate information. Their advantages consist in enhancing important information while unimportant information are suppressed. The aim of this project is to develop and evaluate such illustrative rendering techniques (like stippling, hatching, smart visibility). Our investigations are focused on applying these techniques in a medical context.
Interactive Visual Analysis of Toponome Data
In Toponomics, the function protein pattern in cells or tissue (the toponome) is imaged and analyzed for applications in toxicology, drug development and patient-drug-interaction. The most advanced imaging technique is robot-driven multi-parameter fluorescence microscopy. This technique is capable of co-mapping hundreds of proteins and their distribution and assembly in protein clusters across a cell or tissue sample. The imaging results in complex multi-parameter data composed of one slice or a 3D volume per protein affinity reagent. The goal of this project is to develop an interactive visual analysis framework
which supports the biologist in evaluating the data.
[project page]
Generation of Surface Models from Segmented, Medical Image Data
Surface models from medical image data typically suffer from artifacts such as staircases and terraces. Our goal is the (automated) generation of accurate and high quality surface models for surgical applications as well as simulations. The resulting surface models are evaluated regarding accuracy, smoothness, triangle quality (skewness), mesh resolution and homogeneity. The mesh generation process is focuses on image data preprocessing as well as postprocessing of the surface meshes (smoothing, remeshing, decimation).
[project page]
Model-based Segmentation
The efficient segmentation of anatomical and pathological structures in medical datasets is a prerequisite for various approaches to computer-supported therapy planning. This project is aimed at the model-based segmentation of anatomical structures from CT datasets using Stable 3D Mass-Spring Models (SMSM). Our long-term goal is to provide a general construction kit of elementary model-components which can be composed to build segmentation models for new structures easily.
Web Applications for Education and Training
The demand on education in surgery increases and classical educational methods can not meet it adequately. Therefore web-based training systems are developed, which have to be concepted and developed using several didactical and conceptual methods to allow learners more efficient learning.
For procurement of explicit and implicit expertise and to represent the enormous anatomic diversity dynamic visualizations of the patients data are preferable. Modern web applications based on HTML 5 and WebGL are suitable for these requirements.
Virtual Endoscopy
Minimally invasive endoscopic procedures are gaining importance, since they lead to a reduced trauma and hospitalization duration. Virtual endoscopy systems have been developed in order to simulate these interventions either for training purposes or for planning an actual intervention based on the CT or MRI data of the patient. We focus on interactive systems, that allow to interactively explore hollow space organs and support the patient education, operation planing or diagnosis of diseases. These tasks can be supported through the use real-time rendering techniques.
[project page]
Visualization & Exploration of Perfusion Data
Perfusion data are dynamic medical image data which characterize the regional blood flow in tissue. We focus on the visualization and exploration of perfusion data for diagnostic purposes in three major application areas: ischemic stroke diagnosis, breast tumor diagnosis and the diagnosis of coronary heart disease.
[project page]
Visualization & Exploration of Simulated and Measured Blood Flow Data
The aim of this project is to investigate the characteristics of blood flow in cerebral aneurysms. We focus on how new kinds endovasculare treatment can be used to influence the flow and decrease the risk for the patient. We deal with extraction, visualization and comparison of complex morphological information and flow features.
Visualization of Vessels
Cardiovascular imaging with current multislice spiral computed tomography (MSCT) technology enables a noninvasive evaluation of the coronary arteries. The research topic focuses on advanced transfer functions for MSCT datasets and the rendering of the cardiac vessel system, including dirct volume rendering visualizations and multiplanar reformation.