EuroRVVV16

Permanent URI for this collection

https://diglib7.eg.org/handle/10.2312/15278
Groningen, the Netherlands, 6-10 June 2016
Table of Contents
Reproducibility in Medical Visualization
Uncertainty and Reproducibility in Medical Visualization
[full paper Image] [meta data Image]
Lars Linsen, Ahmed Al-Taie, Gordan Ristovski, Tobias Preusser, and Horst K. Hahn
High-Performance Motion Correction of Fetal MRI
[full paper Image] [meta data Image]
Bernhard Kainz, David F. A. Lloyd, Amir Alansary, Maria Kuklisova Murgasova, Rostislav Khlebnikov, Daniel Rueckert, Mary Rutherford, Reza Razavi, and Jo V. Hajnal
OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible
[full paper Image] [meta data Image]
Paul Rosenthal, Marc Ritter, Danny Kowerko, and Christian Heine
Classification
Classifying Medical Projection Techniques based on Parameterization Attribute Preservation
[full paper Image] [meta data Image]
Julian Kreiser and Timo Ropinski
Visual Analytics and Storytelling in Medical Visualization
Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice?
[full paper Image] [meta data Image]
Martin Röhlig, Oliver Stachs, and Heidrun Schumann
Towards Multi-user Provenance Tracking of Visual Analysis Workflows over Multiple Applications
[full paper Image] [meta data Image]
Claudia Hänel, Mohammad Khatami, Torsten W. Kuhlen, and Benjamin Weyers
Evaluation and Validation Methods for Medical Applications
Experiences on Validation of Multi-Component System Simulations for Medical Training Applications
[full paper Image] [meta data Image]
Yuen C. Law, Benjamin Weyers, and Torsten W. Kuhlen
On the Evaluation of a Semi-Automatic Vortex Flow Classification in 4D PC-MRI Data of the Aorta
[full paper Image] [meta data Image]
Monique Meuschke, Ben Köhler, Bernhard Preim, and Kai Lawonn
An Introduction to Evaluation in Medical Visualization
[full paper Image] [meta data Image]
Noeska Smit and Kai Lawonn

BibTeX (EuroRVVV16)
@inproceedings{
10.2312:eurorv3.20161107,

booktitle = {
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)},

editor = {
Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
},
title = {{
Uncertainty and Reproducibility in Medical Visualization}},

author = {
Linsen, Lars
 and 
Al-Taie, Ahmed
 and 
Ristovski, Gordan
 and 
Preusser, Tobias
 and 
Hahn, Horst K.
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISSN = {1017-4656},
ISBN = {978-3-03868-017-8},

DOI = {
10.2312/eurorv3.20161107}

}
@inproceedings{
10.2312:eurorv3.20161108,

booktitle = {
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)},

editor = {
Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
},
title = {{
High-Performance Motion Correction of Fetal MRI}},

author = {
Kainz, Bernhard
 and 
Lloyd, David F. A.
 and 
Alansary, Amir
 and 
Murgasova, Maria Kuklisova
 and 
Khlebnikov, Rostislav
 and 
Rueckert, Daniel
 and 
Rutherford, Mary
 and 
Razavi, Reza
 and 
Hajnal, Jo V.
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISSN = {1017-4656},
ISBN = {978-3-03868-017-8},

DOI = {
10.2312/eurorv3.20161108}

}
@inproceedings{
10.2312:eurorv3.20161110,

booktitle = {
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)},

editor = {
Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
},
title = {{
Classifying Medical Projection Techniques based on Parameterization Attribute Preservation}},

author = {
Kreiser, Julian
 and 
Ropinski, Timo
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISSN = {1017-4656},
ISBN = {978-3-03868-017-8},

DOI = {
10.2312/eurorv3.20161110}

}
@inproceedings{
10.2312:eurorv3.20161113,

booktitle = {
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)},

editor = {
Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
},
title = {{
Experiences on Validation of Multi-Component System Simulations for Medical Training Applications}},

author = {
Law, Yuen C.
 and 
Weyers, Benjamin
 and 
Kuhlen, Torsten W.
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISSN = {1017-4656},
ISBN = {978-3-03868-017-8},

DOI = {
10.2312/eurorv3.20161113}

}
@inproceedings{
10.2312:eurorv3.20161109,

booktitle = {
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)},

editor = {
Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
},
title = {{
OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible}},

author = {
Rosenthal, Paul
 and 
Ritter, Marc
 and 
Kowerko, Danny
 and 
Heine, Christian
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISSN = {1017-4656},
ISBN = {978-3-03868-017-8},

DOI = {
10.2312/eurorv3.20161109}

}
@inproceedings{
10.2312:eurorv3.20161114,

booktitle = {
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)},

editor = {
Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
},
title = {{
On the Evaluation of a Semi-Automatic Vortex Flow Classification in 4D PC-MRI Data of the Aorta}},

author = {
Meuschke, Monique
 and 
Köhler, Ben
 and 
Preim, Bernhard
 and 
Lawonn, Kai
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISSN = {1017-4656},
ISBN = {978-3-03868-017-8},

DOI = {
10.2312/eurorv3.20161114}

}
@inproceedings{
10.2312:eurorv3.20161111,

booktitle = {
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)},

editor = {
Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
},
title = {{
Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice?}},

author = {
Röhlig, Martin
 and 
Stachs, Oliver
 and 
Schumann, Heidrun
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISSN = {1017-4656},
ISBN = {978-3-03868-017-8},

DOI = {
10.2312/eurorv3.20161111}

}
@inproceedings{
10.2312:eurorv3.20161112,

booktitle = {
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)},

editor = {
Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
},
title = {{
Towards Multi-user Provenance Tracking of Visual Analysis Workflows over Multiple Applications}},

author = {
Hänel, Claudia
 and 
Khatami, Mohammad
 and 
Kuhlen, Torsten W.
 and 
Weyers, Benjamin
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISSN = {1017-4656},
ISBN = {978-3-03868-017-8},

DOI = {
10.2312/eurorv3.20161112}

}
@inproceedings{
10.2312:eurorv3.20161115,

booktitle = {
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)},

editor = {
Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
},
title = {{
An Introduction to Evaluation in Medical Visualization}},

author = {
Smit, Noeska
 and 
Lawonn, Kai
},
year = {
2016},

publisher = {
The Eurographics Association},


ISSN = {-},
ISSN = {1017-4656},
ISBN = {978-3-03868-017-8},

DOI = {
10.2312/eurorv3.20161115}

}

Browse

Recent Submissions

Now showing 1 - 10 of 10
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    EuroRV3 2016: Frontmatter
    (Eurographics Association, 2016) Kai Lawonn; Mario Hlawitschka; Paul Rosenthal;
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    Uncertainty and Reproducibility in Medical Visualization
    (The Eurographics Association, 2016) Linsen, Lars; Al-Taie, Ahmed; Ristovski, Gordan; Preusser, Tobias; Hahn, Horst K.; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    The medical visualization pipeline is affected by various sources of uncertainty. Many errors may occur and several assumptions are made in the various processing steps from the image acquisition to the rendering of the visualization output, which induce uncertainty. High uncertainty leads to low robustness of the algorithms impacting reproducibility of the results. We present how uncertainty can be mathematically described in the medical context. Moreover, in medical applications, the visualization is typically based on a segmentation of the medical images. We propose a method to capture uncertainty in image segmentation and present extensions to ensemble and multi-modal image segmentation.
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    High-Performance Motion Correction of Fetal MRI
    (The Eurographics Association, 2016) Kainz, Bernhard; Lloyd, David F. A.; Alansary, Amir; Murgasova, Maria Kuklisova; Khlebnikov, Rostislav; Rueckert, Daniel; Rutherford, Mary; Razavi, Reza; Hajnal, Jo V.; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    Fetal Magnetic Resonance Imaging (MRI) shows promising results for pre-natal diagnostics. The detection of potentially lifethreatening abnormalities in the fetus can be difficult with ultrasound alone. MRI is one of the few safe alternative imaging modalities in pregnancy. However, to date it has been limited by unpredictable fetal and maternal motion during acquisition. Motion between the acquisitions of individual slices of a 3D volume results in spatial inconsistencies that can be resolved by slice-to-volume reconstruction (SVR) methods to provide high quality 3D image data. Existing algorithms to solve this problem have evolved from very slow implementations targeting a single organ to general high-performance solutions to reconstruct the whole uterus. In this paper we give a brief overview over the current state-of-the art in fetal motion compensation methods and show currently emerging clinical applications of these techniques.
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    Classifying Medical Projection Techniques based on Parameterization Attribute Preservation
    (The Eurographics Association, 2016) Kreiser, Julian; Ropinski, Timo; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    In many areas of medicine, visualization researchers can help by contributing to to task simplification, abstraction or complexity reduction. As these approaches, can allow a better workflow in medical environments by exploiting easier communication through visualization, it is important to question their reliability and their reproducibility. Therefore, within this short paper, we investigate how projections used in medical visualization, can be classified with respect to the handled data and the underlying tasks. Many of these techniques are inspired by mesh parameterization, which allows for reducing a surface from R3 to R2. This makes complex structures often easier to understand by humans and machines. In the following section, we will classify different algorithms in this area (see Table 1) and discuss how these mappings benefit medical visualization.
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    Experiences on Validation of Multi-Component System Simulations for Medical Training Applications
    (The Eurographics Association, 2016) Law, Yuen C.; Weyers, Benjamin; Kuhlen, Torsten W.; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    In the simulation of multi-component systems, we often encounter a problem with a lack of ground-truth data. This situation makes the validation of our simulation methods and models a difficult task. In this work we present a guideline to design validation methodologies that can be applied to the validation of multi-component simulations that lack of ground-truth data. Additionally we present an example applied to an Ultrasound Image Simulation for medical training and give an overview of the considerations made and the results for each of the validation methods. With these guidelines we expect to obtain more comparable and reproducible validation results from which other similar work can benefit.
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    OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible
    (The Eurographics Association, 2016) Rosenthal, Paul; Ritter, Marc; Kowerko, Danny; Heine, Christian; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    In this paper, we discuss the issues of the current state of the art in optical coherence tomography with respect to reproducibility. We present our findings about the internal computations and data storage methods of the currently used devices. The gained knowledge was used to implement a tool to read a variety of OCT file formats and reproduce the visualizations used in daily clinical routine.
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    On the Evaluation of a Semi-Automatic Vortex Flow Classification in 4D PC-MRI Data of the Aorta
    (The Eurographics Association, 2016) Meuschke, Monique; Köhler, Ben; Preim, Bernhard; Lawonn, Kai; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    In this paper, we report on our experiences that we made during our contributions in the field of the visualization of flow characteristics. Mainly, we focused on the vortex flow classification in 4D PC-MRI as current medical studies assume a strong correlation between cardiovascular diseases and blood flow patterns such as vortices. For further analysis, medical experts are asked to manually extract and classify such vortices according to specific properties. We presented and evaluated techniques that enable a fast and robust vortex classification [MLK 16,MKP 16] that supports medical experts. The main focus in this paper is a report that describes our conversations with the domain experts. The dialog was the fundament that gave us the direction of what the experts need. We derived several requirements that should be fulfilled by our tool. From this, we developed a prototype that supports the experts. Finally, we describe the evaluation of our framework and discuss currently limitations.
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    Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice?
    (The Eurographics Association, 2016) Röhlig, Martin; Stachs, Oliver; Schumann, Heidrun; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    Visual analytics (VA) methods are valuable means for supporting the detection of diabetic neuropathy, the most common longterm complication of diabetes mellitus. We suggest two strategies for strengthening reliability, reproducibility, and applicability of dedicated VA methods in practice. First, we introduce a novel workflow visualization that shows activities together with metadata and produced output, facilitating a guided step-wise analysis. Second, we present a tailored user interface that integrates various VA tools, unifying access to their functionality and enabling free exploration for further assisting the medical diagnosis. By applying both strategies, we effectively enhance the practical utility of our VA approach for detecting diabetic neuropathy.
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    Towards Multi-user Provenance Tracking of Visual Analysis Workflows over Multiple Applications
    (The Eurographics Association, 2016) Hänel, Claudia; Khatami, Mohammad; Kuhlen, Torsten W.; Weyers, Benjamin; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    Provenance tracking for visual analysis workflows is still a challenge as especially interaction and collaboration aspects are poorly covered in existing realizations. Therefore, we propose a first prototype addressing these issues based on the PROV model. Interactions in multiple applications by multiple users can be tracked by means of a web interface and, thus, allowing even for tracking of remote-located collaboration partners. In the end, we demonstrate the applicability based on two use cases and discuss some open issues not addressed by our implementation so far but that can be easily integrated into our architecture.
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    An Introduction to Evaluation in Medical Visualization
    (The Eurographics Association, 2016) Smit, Noeska; Lawonn, Kai; Kai Lawonn and Mario Hlawitschka and Paul Rosenthal
    Medical visualization papers often deal with data that is interpreted by medical domain experts in a research or clinical context. Since visualizations are by definition designed to be interpreted by a human observer, often an evaluation is performed to confirm the utility of a presented method. The exact type of evaluation required is not always clear, especially to new researchers. With this paper, we hope to clarify the different types of evaluation methods that exist and provide practical guidelines to choose the most suitable evaluation method to increase the value of the work.