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 "Applications"

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    Automatic Real-time Annotation of Important Landmarks in Ultrasound-Guided Femoral Nerve Blocks
    (The Eurographics Association, 2015) Lindseth, Frank; Leidig, Linda; Smistad, Erik; Katja Bühler and Lars Linsen and Nigel W. John
    The main focus of the preliminary work presented here is the automatic real-time annotation (detection and tracking) of the important structures seen in an ultrasound image taken from a femoral nerve block, i.e. the femoral artery, the facias (lata and illiaca) and the femoral nerve.
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    Illustrative Multi-volume Rendering for PET/CT Scans
    (The Eurographics Association, 2015) Lawonn, Kai; Smit, Noeska; Preim, Bernhard; Vilanova, Anna; Katja Bühler and Lars Linsen and Nigel W. John
    In this paper we present illustrative visualization techniques for PET/CT datasets. PET/CT scanners acquire both PET and CT image data in order to combine functional metabolic information with structural anatomical information. Current visualization techniques mainly rely on 2D image fusion techniques to convey this combined information to physicians. We introduce an illustrative 3D visualization technique, specifically designed for use with PET/CT datasets. This allows the user to easily detect foci in the PET data and to localize these regions by providing anatomical contextual information from the CT data. Furthermore, we provide transfer function specifically designed for PET data that facilitates the investigation of interesting regions. Our technique allows users to get a quick overview of regions of interest and can be used in treatment planning, doctor-patient communication and interdisciplinary communication. We conducted a qualitative evaluation with medical experts to validate the utility of our method in clinical practice.
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    Simulated Motion Artefact in Computed Tomography
    (The Eurographics Association, 2015) Vidal, Franck; Villard, Pierre-Frédéric; Katja Bühler and Lars Linsen and Nigel W. John
    We propose a simulation framework to simulate the computed tomography acquisition process. It includes five components: anatomic data, respiration modelling, automatic parametrisation, X-ray simulation, and tomography reconstruction. It is used to generate motion artefacts in reconstructed CT volumes. Our framework can be used to evaluate CT reconstruction algorithm with motion artefact correction in a controlled environment.
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    A Survey of Cardiac 4D PC-MRI Data Processing
    (The Eurographics Association, 2015) Köhler, Benjamin; Born, Silvia; Pelt, Roy F. P. van; Preim, Uta; Preim, Bernhard; Katja Bühler and Lars Linsen and Nigel W. John
    Cardiac 4D PC-MRI acquisitions gained increasing clinical interest in recent years. They allow to non-invasively obtain extensive information about patient-specific hemodynamics and thus have a great potential to improve the diagnosis of cardiovascular diseases. A dataset contains time-resolved, three-dimensional blood flow directions and strengths, facilitating comprehensive qualitative and quantitative data analysis. The quantification of measures such as stroke volumes helps to assess the cardiac function and monitor disease progression. Qualitative analysis allows to investigate abnormal flow characteristics, such as vortices, that are correlated to different pathologies. Processing the data comprises complex image processing methods as well as flow analysis and visualization. In this work, we mainly focus on the aorta. We provide an overview from data measurement and preprocessing to current visualization and quantification methods so that other researchers can quickly catch up with the topic and take on new challenges to further investigate the potential of 4D PC-MRI.
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    Visualisation of PET data in the Fly Algorithm
    (The Eurographics Association, 2015) Abbood, Zainab Ali; Rocchisani, Jean-Marie; Vidal, Franck; Katja Bühler and Lars Linsen and Nigel W. John
    We use the Fly algorithm, an artificial evolution strategy, to reconstruct positron emission tomography (PET) images. The algorithm iteratively optimises the position of 3D points. It eventually produces a point cloud, which needs to be voxelised to produce volume data that can be used with conventional medical image software. However, resulting voxel data is noisy. In our test case with 6,400 points the normalised cross-correlation (NCC) between the reference and the reconstruction is 85.53%; with 25,600 points it is 93.60%. This paper introduces a more robust 3D voxelisation method based on implicit modelling using metaballs to overcome this limitation. With metaballs, the NCC with 6,400 points increases up to 92.21%; and up to 96.26% with 25,600 points.