Sebastian Wagner, K. Illner, Matthias Weber, B. Preim, P. Saalfeld
Specific phobias are among the most common mental diseases, affecting the lives of millions of people. Yet, many cases remain untreated and even undiagnosed, partly due to entry barriers such as waiting times and inconvenience of therapy. To improve the therapeutic options and convenience for the treatment of specific phobias, we implemented a virtual reality application for treating acrophobia (fear of heights) with in-virtuo exposure therapy. Our concept is based on principles from psychology and interaction design. This concept is then implemented using the game engine Unity and Oculus Rift headset as a target device for VR display. Our application has a wide range of customization options, which enables it to be personalized to individual patients. In addition, a number of motivational methods are integrated, which are intended to increase patient motivation, as motivation is essential for a successful therapy. CCS Concepts • Human-centered computing → Virtual reality; Interactive systems and tools; Visualization; • Applied computing → Health informatics;
{"title":"VR Acrophobia Treatment - Development of Customizable Acrophobia Inducing Scenarios","authors":"Sebastian Wagner, K. Illner, Matthias Weber, B. Preim, P. Saalfeld","doi":"10.2312/vcbm.20201171","DOIUrl":"https://doi.org/10.2312/vcbm.20201171","url":null,"abstract":"Specific phobias are among the most common mental diseases, affecting the lives of millions of people. Yet, many cases remain untreated and even undiagnosed, partly due to entry barriers such as waiting times and inconvenience of therapy. To improve the therapeutic options and convenience for the treatment of specific phobias, we implemented a virtual reality application for treating acrophobia (fear of heights) with in-virtuo exposure therapy. Our concept is based on principles from psychology and interaction design. This concept is then implemented using the game engine Unity and Oculus Rift headset as a target device for VR display. Our application has a wide range of customization options, which enables it to be personalized to individual patients. In addition, a number of motivational methods are integrated, which are intended to increase patient motivation, as motivation is essential for a successful therapy. CCS Concepts • Human-centered computing → Virtual reality; Interactive systems and tools; Visualization; • Applied computing → Health informatics;","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"136 1","pages":"49-53"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91119695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Medina, Ainhoa M. Aguado, Jordi Mill, X. Freixa, D. Arzamendi, C. Yagüe, O. Camara
Personalized anatomical information of the heart is usually obtained from the visual analysis of patient-specific medical images with standard multiplanar reconstruction (MPR) of 2D orthogonal slices, volume rendering and surface mesh views. Commonly, medical data is visualized in 2D flat screens, thus hampering the understanding of 3D complex anatomical details, including incorrect depth/scaling perception, which is critical for some cardiac interventions such as medical device implantations. Virtual reality (VR) is becoming a valid complementary technology overcoming some of the limitations of conventional visualization techniques and allowing an enhanced and fully interactive exploration of human anatomy. In this work, we present VRIDAA, a VR-based platform for the visualization of patient-specific cardiac geometries and the virtual implantation of left atrial appendage occluder (LAAO) devices. It includes different visualization and interaction modes to jointly inspect 3D LA geometries and different LAAO devices, MPR 2D imaging slices, several landmarks and morphological parameters relevant to LAAO, among other functionalities. The platform was designed and tested by two interventional cardiologists and LAAO researchers, obtaining very positive user feedback about its potential, highlighting VRIDAA as a source of motivation for trainees and its usefulness to better understand the required surgical approach before the intervention. CCS Concepts • Human-centered computing → Information visualization; • Applied computing → Interactive learning environments; Health care information systems;
{"title":"VRIDAA: Virtual Reality Platform for Training and Planning Implantations of Occluder Devices in Left Atrial Appendages","authors":"E. Medina, Ainhoa M. Aguado, Jordi Mill, X. Freixa, D. Arzamendi, C. Yagüe, O. Camara","doi":"10.2312/vcbm.20201168","DOIUrl":"https://doi.org/10.2312/vcbm.20201168","url":null,"abstract":"Personalized anatomical information of the heart is usually obtained from the visual analysis of patient-specific medical images with standard multiplanar reconstruction (MPR) of 2D orthogonal slices, volume rendering and surface mesh views. Commonly, medical data is visualized in 2D flat screens, thus hampering the understanding of 3D complex anatomical details, including incorrect depth/scaling perception, which is critical for some cardiac interventions such as medical device implantations. Virtual reality (VR) is becoming a valid complementary technology overcoming some of the limitations of conventional visualization techniques and allowing an enhanced and fully interactive exploration of human anatomy. In this work, we present VRIDAA, a VR-based platform for the visualization of patient-specific cardiac geometries and the virtual implantation of left atrial appendage occluder (LAAO) devices. It includes different visualization and interaction modes to jointly inspect 3D LA geometries and different LAAO devices, MPR 2D imaging slices, several landmarks and morphological parameters relevant to LAAO, among other functionalities. The platform was designed and tested by two interventional cardiologists and LAAO researchers, obtaining very positive user feedback about its potential, highlighting VRIDAA as a source of motivation for trainees and its usefulness to better understand the required surgical approach before the intervention. CCS Concepts • Human-centered computing → Information visualization; • Applied computing → Interactive learning environments; Health care information systems;","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"24 1","pages":"31-35"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73990793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Astrid van den Brandt, Mark Christopher, L. Zangwill, Jasmin Rezapour, C. Bowd, Sally L. Baxter, D. Welsbie, A. Camp, S. Moghimi, Jiun L. Do, R. Weinreb, Chris C. P. Snijders, M. A. Westenberg
{"title":"GLANCE: Visual Analytics for Monitoring Glaucoma Progression","authors":"Astrid van den Brandt, Mark Christopher, L. Zangwill, Jasmin Rezapour, C. Bowd, Sally L. Baxter, D. Welsbie, A. Camp, S. Moghimi, Jiun L. Do, R. Weinreb, Chris C. P. Snijders, M. A. Westenberg","doi":"10.2312/vcbm.20201175","DOIUrl":"https://doi.org/10.2312/vcbm.20201175","url":null,"abstract":"","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"33 19 1","pages":"85-96"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82553066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data","authors":"Florian Thamm, Markus Jürgens, H. Ditt, A. Maier","doi":"10.2312/vcbm.20201181","DOIUrl":"https://doi.org/10.2312/vcbm.20201181","url":null,"abstract":"","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"3 1","pages":"151-155"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89249032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CFD simulations are an increasingly important method for the non-invasive analysis of risk factors for aneurysm rupture. Their robustness, however, has to be examined more thoroughly before clinical use is possible. We present a novel framework that enables robustness evaluation of CFD simulation according to mesh deformation on patient-specific blood vessel geometry. Our tool offers a guided workflow to generate, run, and visualize OpenFOAM simulations, which significantly decreases the usual overhead of CFD simulations with OpenFOAM. Besides, the deformation of the original geometry allows the user to evaluate the robustness of the simulation without the need to repeat expensive operations of the data pre-processing phase. We assessed the robustness of CFD simulations by applying our framework to several aneurysm data sets. CCS Concepts • Human-centered computing → Scientific visualization;
{"title":"Robustness Evaluation of CFD Simulations to Mesh Deformation","authors":"Alexander Scheid-Rehder, K. Lawonn, M. Meuschke","doi":"10.2312/vcbm.20191244","DOIUrl":"https://doi.org/10.2312/vcbm.20191244","url":null,"abstract":"CFD simulations are an increasingly important method for the non-invasive analysis of risk factors for aneurysm rupture. Their robustness, however, has to be examined more thoroughly before clinical use is possible. We present a novel framework that enables robustness evaluation of CFD simulation according to mesh deformation on patient-specific blood vessel geometry. Our tool offers a guided workflow to generate, run, and visualize OpenFOAM simulations, which significantly decreases the usual overhead of CFD simulations with OpenFOAM. Besides, the deformation of the original geometry allows the user to evaluate the robustness of the simulation without the need to repeat expensive operations of the data pre-processing phase. We assessed the robustness of CFD simulations by applying our framework to several aneurysm data sets. CCS Concepts • Human-centered computing → Scientific visualization;","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"44 5 1","pages":"189-199"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84071539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Weiss, U. Eck, M. A. Nasseri, M. Maier, A. Eslami, N. Navab
{"title":"Layer-Aware iOCT Volume Rendering for Retinal Surgery","authors":"J. Weiss, U. Eck, M. A. Nasseri, M. Maier, A. Eslami, N. Navab","doi":"10.2312/vcbm.20191239","DOIUrl":"https://doi.org/10.2312/vcbm.20191239","url":null,"abstract":"","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"52 1","pages":"123-127"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86873999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The colon is an organ whose constant motility poses difficulties to its analysis. Although morphological data can be successfully extracted from Computational Tomography, its radiative nature makes it only indicated for patients with disorders. Only recently, acquisition techniques that rely on the use of Magnetic Resonance Imaging have matured enough to enable the generation of morphological colon data of healthy patients without preparation (i. e. administration of drugs or contrast agents). As a result, a database of colon morphological data for patients under different diets, has been created. Currently, the digestologists we collaborate with analyze the measured data of the gut by inspecting a set of spreadsheets. In this paper, we propose a system for the exploratory visual analysis of the whole database of morphological data at once. It provides features for the visual comparison of data correlations, the inspection of the morphological measures, as well 3D rendering of the colon segmented models. The system solely relies on the use of web technologies, which makes it portable even to mobile devices.
{"title":"A Web-based Application for the Visual Exploration of Colon Morphology Data","authors":"J. Males, E. Monclús, José Díaz, Pere-Pau Vázquez","doi":"10.2312/VCBM.20191228","DOIUrl":"https://doi.org/10.2312/VCBM.20191228","url":null,"abstract":"The colon is an organ whose constant motility poses difficulties to its analysis. Although morphological data can be successfully extracted from Computational Tomography, its radiative nature makes it only indicated for patients with disorders. Only recently, acquisition techniques that rely on the use of Magnetic Resonance Imaging have matured enough to enable the generation of morphological colon data of healthy patients without preparation (i. e. administration of drugs or contrast agents). As a result, a database of colon morphological data for patients under different diets, has been created. Currently, the digestologists we collaborate with analyze the measured data of the gut by inspecting a set of spreadsheets. In this paper, we propose a system for the exploratory visual analysis of the whole database of morphological data at once. It provides features for the visual comparison of data correlations, the inspection of the morphological measures, as well 3D rendering of the colon segmented models. The system solely relies on the use of web technologies, which makes it portable even to mobile devices.","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"101 1","pages":"27-31"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73232425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel Jönsson, Albin Bergström, C. Forsell, Rozalyn Simon, M. Engström, A. Ynnerman, I. Hotz
We present an interactive visual environment for linked analysis of brain imaging and clinical measurements. The environment is developed in an iterative participatory design process involving neur ...
{"title":"A Visual Environment for Hypothesis Formation and Reasoning in Studies with fMRI and Multivariate Clinical Data","authors":"Daniel Jönsson, Albin Bergström, C. Forsell, Rozalyn Simon, M. Engström, A. Ynnerman, I. Hotz","doi":"10.2312/vcbm.20191232","DOIUrl":"https://doi.org/10.2312/vcbm.20191232","url":null,"abstract":"We present an interactive visual environment for linked analysis of brain imaging and clinical measurements. The environment is developed in an iterative participatory design process involving neur ...","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"46 1","pages":"57-68"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77682283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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