VCBM 15: Eurographics Workshop on Visual Computing for Biology and Medicine

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https://diglib.eg.org/handle/10.2312/13225

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Browsing VCBM 15: Eurographics Workshop on Visual Computing for Biology and Medicine by Subject "Health"

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    CoWRadar: Visual Quantification of the Circle of Willis in Stroke Patients
    (The Eurographics Association, 2015) Miao, Haichao; Mistelbauer, Gabriel; Našel, Christian; Gröller, M. Eduard; Katja Bühler and Lars Linsen and Nigel W. John
    This paper presents a method for the visual quantification of cerebral arteries, known as the Circle of Willis (CoW). The CoW is an arterial structure that is responsible for the brain's blood supply. Dysfunctions of this arterial circle can lead to strokes. The diagnosis relies on the radiologist's expertise and the software tools used. These tools consist of very basic display methods of the volumetric data without support of advanced technologies in medical image processing and visualization. The goal of this paper is to create an automated method for the standardized description of cerebral arteries in stroke patients in order to provide an overview of the CoW's configuration. This novel display provides visual indications of problematic areas as well as straightforward comparisons between multiple patients. Additionally, we offer a pipeline for extracting the CoW from Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) data sets. An enumeration technique for the labeling of the arterial segments is therefore suggested. We also propose a method for detecting the CoW's main supplying arteries by analyzing the coronal, sagittal and transverse image planes of the data sets. We evaluated the feasibility of our visual quantification approach in a study of 63 TOF-MRA data sets and compared our findings to those of three radiologists. The obtained results demonstrate that our proposed techniques are effective in detecting the arteries of the CoW.
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    Schematic Electrode Map for Navigation in Neuro Data Sets
    (The Eurographics Association, 2015) Berge, Christian Schulte zu; Weiss, Jakob; Navab, Nassir; Katja Bühler and Lars Linsen and Nigel W. John
    Neuro resection surgery is one of the last resorts when treating epilepsy patients where conservative treatment shows no effect on seizure reduction. However, due to the severity of the surgery, the resection planning has to be as precise as possible in order to avoid harming any critical anatomy. The tight time constraints in clinal routine demand for a highly optimized workflow. In this work, we therefore introduce a novel visualization in order to simplify the navigation in the complex multi-modal neuro data sets and support the clinician with the planning procedure. We propose a schematic electrode map based on a force-directed graph model providing an intuitive overview over the topology of the implanted depth electrode configuration. To further facilitate the planning workflow, our carefully designed electrode glyph supports different scalar, nominal and binary annotations augmenting the view with additional information. Brushing and linking techniques allow for easy mapping of the EEG data to the corresponding anatomy, as well as for straight-forward navigation within the visualization of the anatomical and functional imaging modalities in order to identify the origin and spread of the seizure. Our results show that the proposed graph layouting method successfully removes occlusions of the projected electrodes while maintaining the original topology of the depth electrode configuration. Initial discussions with clinicians and the application to clinical data further show the effectiveness of our methods.