EG 2011 - Dirk Bartz Prize

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https://diglib.eg.org/handle/10.2312/291

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    The Tumor Therapy Manager and its Clinical Impact
    (The Eurographics Association, 2011) Rössling, Ivo; Dornheim, Jana; Dornheim, Lars; Boehm, Andreas; Preim, Bernhard; K. Buehler and A. Vilanova
    Visual exploration of CT and MRI datasets in clinical practice is still dominated by slice-based viewing. Volume rendering is now widely available but seen primarily as a tool for a fast overview, and only rarely as a visualization to directly support clinical decisions. Research projects aiming at advanced 3D visualizations, such as smart visibility and illustrative renderings, usually fail to meet clinical demands, since the visualizations are not dedicated to specific diagnostic or treatment planning questions. Moreover, they are unfamiliar to users who need reliable and familiar visualizations as a basis for their crucial decisions. Discussions with clinical practicians reveal that parameterization of visual effects is too cumbersome and resulting visualizations are often too complex. We describe and discuss long-term experiences on developing, testing, and refining image analysis and visualization techniques for ENT surgery planning based on CT data. While visual quality and a faithful rendition of spatial relations indeed are essential, it turned out to be superior to generate sequences of rather simple 3D visualizations directly supporting specific treatment questions instead of presenting many anatomic structures simultaneously. We report on the actual clinical use of the system and discuss how it changed the surgical planning workflow.
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    Interactive Visualization Techniques for Neurosurgery Planning
    (The Eurographics Association, 2011) Diepenbrock, Stefan; Praßni, Jörg-Stefan; Lindemann, Florian; Bothe, Hans-Werner; Ropinski, Timo; K. Buehler and A. Vilanova
    We present concepts for pre-operative planning of brain tumor resections. The proposed system uses a combination of traditional and novel visualization techniques rendered in real-time on modern GPUs in order to support neurosurgeons during intervention planning. A set of multimodal 2D and 3D renderings conveys the relation between the lesion and the various structures at risk and also depicts data uncertainty. To facilitate efficient interactions while providing a comprehensible visualization, all employed views are linked. Furthermore, the system allows the surgeon to interactively define the access path by clicking in the 3D views as well as to perform distance measurements in 2D and 3D.
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    AVM-Explorer: Multi-Volume Visualization of Vascular Structures for Planning of Cerebral AVM Surgery
    (The Eurographics Association, 2011) Weiler, Florian; Rieder, Christian; David, C. A.; Wald, C.; Hahn, Horst K.; K. Buehler and A. Vilanova
    Arteriovenous malformations (AVMs) of the brain are rare vascular disorders characterized by the presence of direct connections between cerebral arteries and veins. Preoperative planning of AVM surgery is a challenging task. The neurosurgeon needs to gain a detailed understanding of both the pathoanatomy of the lesion as well as its location and spatial relation to critical functional areas and white matter fiber bundles at risk. A crucial element during this planning phase is the precise identification of feeding arteries, draining veins, and arteries en passage". To this end, a variety of imaging modalities for displaying neurovascular structures exists, both tomographic as well as projection based. However, the conventional 2D slice based review of such data is not well suited to help understanding the complex angioarchitecture of an AVM. In this paper, we demonstrate how stateof- the-art techniques from the fields of computer graphics and image processing can support neurosurgeons with the challenge of creating a mental 3D model of the lesion and understanding its internal structure. To evaluate the clinical value of our method, we present results from three case studies along with the medical assessment of an experienced neurosurgeon.
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    A Virtual Environment for Radiotherapy Training and Education - VERT
    (The Eurographics Association, 2011) Ward, James W.; Phillips, R.; Boejen, Annette; Grau, Cai; Jois, Deepak; Beavis, Andy W.; K. Buehler and A. Vilanova
    A report in 2007 to the UK Government identified a crisis in England for training staff and students for the radiotherapy treatment of cancer. The Hull authors have developed an immersive life size virtual environment of a radiotherapy treatment room, known as VERT, to address this problem. VERT provides the trainee with models, simulation, enhanced visualization and training aids for treatment of virtual patients in a virtual treatment room. In 2007 VERT systems for radiotherapy training were established for training purposes at the University Aarhus Hospital (Denmark), Birmingham City University (UK) and the University of Ulster (UK). There are now some 70 VERT systems around the world. This paper reports on the simulation and visualization capabilities and reports on the use of VERT from the Aarhus University hospital and on the national evaluation of VERT in the UK [AC10]. These reports clearly indicate the clinical benefit of using a virtual environment approach, such as VERT, for training and education in radiotherapy.
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    FEMONUM: A Framework for Whole Body Pregnant Woman Modeling from Ante-Natal Imaging Data
    (The Eurographics Association, 2011) Alcalde, Juan Pablo de la Plata; Anquez, Jérémie; Bibin, Lazar; Boubekeur, Tamy; Angelini, Elsa; Bloch, Isabelle; K. Buehler and A. Vilanova
    Anatomical models of pregnant women can be used in several applications such as numerical dosimetry to assess the potential effects of electromagnetic fields on biological tissues, or medical simulations for delivery planning. Recent advances in medical imaging have enabled the generation of realistic and detailed models of human beings. This paper describes FEMONUM, a complete methodological framework for the construction of pregnant woman models based on medical images and their segmentation. FEMONUM combines several computer graphics methods, such as surface reconstruction and physics-based computer animation to model and deform pregnant women abdomens, to simulate different fetal positions and sizes and also different morphologies of the mother, represented with a synthetic woman body envelope. A set of 16 models, anatomically validated by clinical experts, is presented and is made available online to the scientific community. These models include detailed information on the utero-fetal units and cover different gestational stages with various fetal positions.