EG 2015 - Dirk Bartz Prize

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https://diglib.eg.org/handle/10.2312/12148
Table of Contents
1st Prize
Surgery Training, Planning and Guidance Using the SOFA Framework
[full paper Image] [meta data Image]
Hugo Talbot, Nazim Haouchine, Igor Peterlik, Jeremie Dequidt, Christian Duriez, Herve Delingette, and Stéphane Cotin
2nd Prize
Guided Analysis of Cardiac 4D PC-MRI Blood Flow Data
[full paper Image] [meta data Image]
Benjamin Köhler, Uta Preim, Matthias Grothoff, Matthias Gutberlet, Katharina Fischbach, and Bernhard Preim
3rd Prize
Multi-Touch Table System for Medical Visualization
[full paper Image] [meta data Image]
Anders Ynnerman, Thomas Rydell, Anders Persson, Aron Ernvik, Camilla Forsell, Patric Ljung, and Claes Lundström

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    EUROGRAPHICS 2015: Dirk Bartz Prize Frontmatter
    (Eurographics Association, 2015) Hans-Christian Hege; Timo Ropinski;
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    Surgery Training, Planning and Guidance Using the SOFA Framework
    (The Eurographics Association, 2015) Talbot, Hugo; Haouchine, Nazim; Peterlik, Igor; Dequidt, Jeremie; Duriez, Christian; Delingette, Herve; Cotin, Stéphane; H.-C. Hege and T. Ropinski
    In recent years, an active development of novel technologies dealing with medical training, planning and guidance has become an increasingly important area of interest in both research and health-care manufacturing. A combination of advanced physical models, realistic human-computer interaction and growing computational power is bringing new solutions in order to help both medical students and experts to achieve a higher degree of accuracy and reliability in surgical interventions. In this paper, we present three different examples of medical physically-based simulations implemented in a common software platform called SOFA. Each example represents a different application: training for cardiac electrophysiology, pre-operative planning of cryosurgery and per-operative guidance for laparoscopy. The goal of this presentation is to evaluate the realism, accuracy and efficiency of the simulations, as well as to demonstrate the potential and flexibility of the SOFA platform.
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    Multi-Touch Table System for Medical Visualization
    (The Eurographics Association, 2015) Ynnerman, Anders; Rydell, Thomas; Persson, Anders; Ernvik, Aron; Forsell, Camilla; Ljung, Patric; Lundström, Claes; H.-C. Hege and T. Ropinski
    Medical imaging plays a central role in a vast range of healthcare practices. While the usefulness of 3D visualizations is well known, the adoption of such technology has previously been limited in many medical areas. This paper, awarded the Dirk Bartz Prize for Visual Computing in Medicine 2015, describes the development of a medical multi-touch visualization table that successfully has reached its aim to bring 3D visualization to a wider clinical audience. The descriptions summarize the targeted clinical scenarios, the key characteristics of the system, and the user feedback obtained.
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    Guided Analysis of Cardiac 4D PC-MRI Blood Flow Data
    (The Eurographics Association, 2015) Köhler, Benjamin; Preim, Uta; Grothoff, Matthias; Gutberlet, Matthias; Fischbach, Katharina; Preim, Bernhard; H.-C. Hege and T. Ropinski
    Four-dimensional phase-contrast magnetic resonance imaging (4D PC-MRI) allows the non-invasive acquisition of temporally resolved, three-dimensional blood flow information. Quantitative and qualitative data analysis helps to assess the cardiac function, severity of diseases and find indications of different cardiovascular pathologies. However, various steps are necessary to achieve expressive visualizations and reliable results. This comprises the correction of special MR-related artifacts, the segmentation of vessels, flow integration with feature extraction and the robust quantification of clinically important measures. A fast and easy-to-use processing pipeline is essential since the target user group are physicians. We present a system that offers such a guided workflow for cardiac 4D PC-MRI data. The aorta and pulmonary artery can be analyzed within ten minutes including vortex extraction and robust determination of the stroke volume as well as the percentaged backflow. 64 datasets of healthy volunteers and of patients with variable diseases such as aneurysms, coarctations and insufficiencies were processed so far.