EuroVisShort2018

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https://diglib.eg.org/handle/10.2312/2632400

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Browsing EuroVisShort2018 by Subject "Applied computing"

Now showing 1 - 4 of 4
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    ChemoExplorer: A Dashboard for the Visual Analysis of Chemotherapy Response in Breast Cancer Patients
    (The Eurographics Association, 2018) Karall, Nikolaus; Gröller, Eduard; Raidou, Renata Georgia; Jimmy Johansson and Filip Sadlo and Tobias Schreck
    In breast cancer chemotherapy treatment, different alternative strategies can be employed. Clinical researchers working on the optimization of chemotherapy strategies need to analyze the progress of the treatment and to understand how different groups of patients respond to selected therapies. This is a challenging task, because of the multitude of imaging and non-imaging health record data involved. We, hereby, introduce a web-based dashboard that facilitates the comparison and analysis of publicly available breast cancer chemotherapy response data, consisting of a follow-up study of 63 patients. Each patient received one of two available therapeutic strategies and their treatment response was documented. Our dashboard provides an initial basis for clinical researchers working on chemotherapy optimization, to analyze the progress of treatment and to compare the response of (groups of) patients with distinct treatment characteristics. Our approach consists of multiple linked representations that provide interactive views on different aspects of the available imaging and non-imaging data. To illustrate the functionality of the ChemoExplorer, we conducted a usage scenario that shows the initial results of our work.
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    Comparative Visual Analysis of Pelvic Organ Segmentations
    (The Eurographics Association, 2018) Reiter, Oliver; Breeuwer, Marcel; Gröller, Eduard; Raidou, Renata Georgia; Jimmy Johansson and Filip Sadlo and Tobias Schreck
    In prostate cancer treatment, automatic segmentations of the pelvic organs are often used as input to radiotherapy planning systems. However, natural anatomical variability of the involved organs is a common reason, for which segmentation algorithms fail, introducing errors in the radiotherapy treatment procedure, as well. Understanding how the shape and size of these organs affect the accuracy of segmentation is of major importance for developers of segmentation algorithms. However, current means of exploration and analysis provide limited insight. In this work, we discuss the design and implementation of a web-based framework, which enables easy exploration and detailed analysis of shape variability, and allows the intended users - i.e., segmentation experts - to generate hypotheses in relation to the performance of the involved algorithms. Our proposed approach was tested with segmentation meshes from a small cohort of 17 patients. Each mesh consists of four pelvic organs and two organ interfaces, which are labeled and have per-triangle correspondences. A usage scenario and an initial informal evaluation with a segmentation expert demonstrate that our framework allows the developers of the algorithms to quickly identify inaccurately segmented organs and to deliberate about the relation of variability to anatomical features and segmentation quality.
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    Pressure-based Vortex Extraction in Cardiac 4D PC-MRI Blood Flow Data
    (The Eurographics Association, 2018) Köhler, Benjamin; Grothoff, Matthias; Gutberlet, Matthias; Preim, Bernhard; Jimmy Johansson and Filip Sadlo and Tobias Schreck
    We propose a technique for vortex extraction in cardiac 4D PC-MRI blood flow data that employs an intravascular, relative pressure calculation. The method is easy to implement, runs fully automatically, and requires no user-defined parameters. We qualitatively evaluated 100+ datasets of the aorta, pulmonary artery, or left ventricle from healthy volunteers as well as from patients acquired with different MR scanners. In all cases, the results suffer from significantly less noise than comparable approaches using the common λ 2 vortex criterion.
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    TapVis: A Data Visualization Approach for Assessment of Alternating Tapping Performance in Patients with Parkinson's Disease
    (The Eurographics Association, 2018) Jusufi, Ilir; Memedi, Mevludin; Nyholm, Dag; Jimmy Johansson and Filip Sadlo and Tobias Schreck
    Advancements in telemedicine have been helpful for frequent monitoring of patients with Parkinson's disease (PD) from remote locations and assessment of their individual symptoms and treatment-related complications. These data can be useful for helping clinicians to interpret symptom states and individually tailor the treatments by visualizing the physiological information collected by sensor-based systems. In this paper we present a visualization metaphor that represents symptom information of PD patients during tapping tests performed with a smartphone. The metaphor has been developed and evaluated with a clinician. It enabled the clinician to observe fine motor impairments and identify motor fluctuations regarding several movement aspects of patients that perform the tests from their homes.