Hannes Martinke, Christian Petry, S. Großkopf, M. Sühling, G. Soza, B. Preim, G. Mistelbauer
The assessment of rib bone fractures and lesions consists of many images that have to be thoroughly inspected slice-by-slice and rib-by-rib. Existing visualization methods, such as curved planar reformation (CPR), reduce the number of images to inspect and, in turn, the time spent per case. However, this task remains time-consuming and exhausting. In this paper, we propose a novel rib unfolding strategy that considers the cross-sectional shape of each rib individually and independently. This leads to shape-adaptive slices through the ribs. By aggregating these slices into a single image, we support radiologists with a concise overview visualization of the entire rib cage for fracture and lesion assessment. We present results of our approach along different cases of rib and spinal fractures as well as lesions. To assess the applicability of our method, we separately evaluated the segmentation (with 954 data sets) and the visualization (with two clinical coaches). CCS Concepts •Human-centered computing → Scientific visualization; •Computing methodologies → Shape analysis; Image processing; •Applied computing → Health informatics;
{"title":"Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding","authors":"Hannes Martinke, Christian Petry, S. Großkopf, M. Sühling, G. Soza, B. Preim, G. Mistelbauer","doi":"10.2312/vcbm.20171249","DOIUrl":"https://doi.org/10.2312/vcbm.20171249","url":null,"abstract":"The assessment of rib bone fractures and lesions consists of many images that have to be thoroughly inspected slice-by-slice and rib-by-rib. Existing visualization methods, such as curved planar reformation (CPR), reduce the number of images to inspect and, in turn, the time spent per case. However, this task remains time-consuming and exhausting. In this paper, we propose a novel rib unfolding strategy that considers the cross-sectional shape of each rib individually and independently. This leads to shape-adaptive slices through the ribs. By aggregating these slices into a single image, we support radiologists with a concise overview visualization of the entire rib cage for fracture and lesion assessment. We present results of our approach along different cases of rib and spinal fractures as well as lesions. To assess the applicability of our method, we separately evaluated the segmentation (with 954 data sets) and the visualization (with two clinical coaches). CCS Concepts •Human-centered computing → Scientific visualization; •Computing methodologies → Shape analysis; Image processing; •Applied computing → Health informatics;","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"15 1","pages":"149-158"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74905166","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}
Chengtao Ji, J. V. D. Gronde, N. Maurits, J. Roerdink
An electroencephalography (EEG) coherence network represents functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of coherence networks can provide insight into unexpected patterns of cognitive processing and help neuroscientists to understand brain mechanisms. However, visualizing dynamic EEG coherence networks is a challenge for the analysis of brain connectivity, especially when the spatial structure of the network needs to be taken into account. In this paper, we present a design and implementation of a visualization framework for such dynamic networks. First, requirements for supporting typical tasks in the context of dynamic functional connectivity network analysis were collected from neuroscience researchers. In our design, we consider groups of network nodes and their corresponding spatial location for visualizing the evolution of the dynamic coherence network. We introduce an augmented timeline-based representation to provide an overview of the evolution of functional units (FUs) and their spatial location over time. This representation can help the viewer to identify relations between functional connectivity and brain regions, as well as to identify persistent or transient functional connectivity patterns across the whole timewindow. In addition, we modified the FU map representation to facilitate comparison of the behavior of nodes between consecutive FU maps. Our implementation also supports interactive exploration. The usefulness of our visualization design was evaluated by an informal user study. The feedback we received shows that our design supports exploratory analysis tasks well. The method can serve as an preprocessing step before a complete analysis of dynamic EEG coherence networks. CCS Concepts •Applied computing → Life and medical sciences; •Human-centered computing → Information visualization;
{"title":"Visualizing and Exploring Dynamic Multichannel EEG Coherence Networks","authors":"Chengtao Ji, J. V. D. Gronde, N. Maurits, J. Roerdink","doi":"10.2312/vcbm.20171238","DOIUrl":"https://doi.org/10.2312/vcbm.20171238","url":null,"abstract":"An electroencephalography (EEG) coherence network represents functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of coherence networks can provide insight into unexpected patterns of cognitive processing and help neuroscientists to understand brain mechanisms. However, visualizing dynamic EEG coherence networks is a challenge for the analysis of brain connectivity, especially when the spatial structure of the network needs to be taken into account. In this paper, we present a design and implementation of a visualization framework for such dynamic networks. First, requirements for supporting typical tasks in the context of dynamic functional connectivity network analysis were collected from neuroscience researchers. In our design, we consider groups of network nodes and their corresponding spatial location for visualizing the evolution of the dynamic coherence network. We introduce an augmented timeline-based representation to provide an overview of the evolution of functional units (FUs) and their spatial location over time. This representation can help the viewer to identify relations between functional connectivity and brain regions, as well as to identify persistent or transient functional connectivity patterns across the whole timewindow. In addition, we modified the FU map representation to facilitate comparison of the behavior of nodes between consecutive FU maps. Our implementation also supports interactive exploration. The usefulness of our visualization design was evaluated by an informal user study. The feedback we received shows that our design supports exploratory analysis tasks well. The method can serve as an preprocessing step before a complete analysis of dynamic EEG coherence networks. CCS Concepts •Applied computing → Life and medical sciences; •Human-centered computing → Information visualization;","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"38 1","pages":"63-72"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81318604","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}
Nicholas Waldin, Mathieu Le Muzic, Manuela Waldner, Eduard Gröller, David Goodsell, Autin Ludovic, Ivan Viola
Visualization of structural biology data uses color to categorize or separate dense structures into particular semantic units. In multiscale models of viruses or bacteria, there are atoms on the finest level of detail, then amino-acids, secondary structures, macromolecules, up to the compartment level and, in all these levels, elements can be visually distinguished by color. However, currently only single scale coloring schemes are utilized that show information for one particular scale only. We present a novel technology which adaptively, based on the current scale level, adjusts the color scheme to depict or distinguish the currently best visible structural information. We treat the color as a visual resource that is distributed given a particular demand. The changes of the color scheme are seamlessly interpolated between the color scheme from the previous views into a given new one. With such dynamic multi-scale color mapping we ensure that the viewer is able to distinguish structural detail that is shown on any given scale. This technique has been tested by users with an expertise in structural biology and has been overall well received.
{"title":"Chameleon: Dynamic Color Mapping for Multi-Scale Structural Biology Models.","authors":"Nicholas Waldin, Mathieu Le Muzic, Manuela Waldner, Eduard Gröller, David Goodsell, Autin Ludovic, Ivan Viola","doi":"10.2312/vcbm.20161266","DOIUrl":"https://doi.org/10.2312/vcbm.20161266","url":null,"abstract":"<p><p>Visualization of structural biology data uses color to categorize or separate dense structures into particular semantic units. In multiscale models of viruses or bacteria, there are atoms on the finest level of detail, then amino-acids, secondary structures, macromolecules, up to the compartment level and, in all these levels, elements can be visually distinguished by color. However, currently only single scale coloring schemes are utilized that show information for one particular scale only. We present a novel technology which adaptively, based on the current scale level, adjusts the color scheme to depict or distinguish the currently best visible structural information. We treat the color as a visual resource that is distributed given a particular demand. The changes of the color scheme are seamlessly interpolated between the color scheme from the previous views into a given new one. With such dynamic multi-scale color mapping we ensure that the viewer is able to distinguish structural detail that is shown on any given scale. This technique has been tested by users with an expertise in structural biology and has been overall well received.</p>","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"2016 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370176/pdf/nihms851574.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34871686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cardiovascular Magnetic Resonance (CMR) produces time-varying volume data by combining conventional MRI techniques with ECG gating. It allows physicians to inspect the dynamics of a beating heart, such as myocardium motion and blood flows. Because the material intensity changes over time in a typical CMR scan, this poses a challenging problem in specifying an effective transfer function for depicting the geometry of a beating heart or other moving objects. In this paper, we propose to moderate the traditional transfer function based on intensity and intensity gradient. This enables us to depict the exterior boundary of a beating heart in a temporally consistent manner. We examine several different ways of moderating an intensity-based transfer function, and evaluate these designs in conjunction with practical CMR data. We present a ray-casting pipeline which includes optional flow estimation and a mechanism to assist temporal coherence in animation.
{"title":"Motion-moderated Transfer Function for Volume Rendering 4D CMR Data","authors":"S. Walton, Min Chen, Cameron Holloway","doi":"10.2312/vcbm.20151212","DOIUrl":"https://doi.org/10.2312/vcbm.20151212","url":null,"abstract":"Cardiovascular Magnetic Resonance (CMR) produces time-varying volume data by combining conventional MRI techniques with ECG gating. It allows physicians to inspect the dynamics of a beating heart, such as myocardium motion and blood flows. Because the material intensity changes over time in a typical CMR scan, this poses a challenging problem in specifying an effective transfer function for depicting the geometry of a beating heart or other moving objects. In this paper, we propose to moderate the traditional transfer function based on intensity and intensity gradient. This enables us to depict the exterior boundary of a beating heart in a temporally consistent manner. We examine several different ways of moderating an intensity-based transfer function, and evaluate these designs in conjunction with practical CMR data. We present a ray-casting pipeline which includes optional flow estimation and a mechanism to assist temporal coherence in animation.","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"49 1","pages":"93-102"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72672232","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}
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.
{"title":"Simulated Motion Artefact in Computed Tomography","authors":"F. Vidal, Pierre-Frédéric Villard","doi":"10.2312/vcbm.20151228","DOIUrl":"https://doi.org/10.2312/vcbm.20151228","url":null,"abstract":"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.","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"35 1","pages":"213-214"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77750349","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}
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.
{"title":"Visualisation of PET data in the Fly Algorithm","authors":"Z. Abbood, J. Rocchisani, F. Vidal","doi":"10.2312/vcbm.20151227","DOIUrl":"https://doi.org/10.2312/vcbm.20151227","url":null,"abstract":"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.","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"2017 1","pages":"211-212"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78949212","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}
P. Hermosilla, V. Guallar, À. Vinacua, Pere-Pau Vázquez
Molecular Dynamics simulations are of key importance in the drug design field. Among all possible representations commonly used to inspect these simulations, Ribbons has the advantage of giving the expert a good overview of the conformation of the molecule. Although several techniques have been previously proposed to render ribbons, all of them have limitations in terms of space or calculation time, making them not suitable for real-time interaction with simulation software. In this paper we present a novel adaptive method that generates ribbons in real-time, taking advantage of the tessellation shader. The result is a fast method that requires no precomputation, and that generates high quality shapes and shading.
{"title":"Instant Visualization of Secondary Structures of Molecular Models","authors":"P. Hermosilla, V. Guallar, À. Vinacua, Pere-Pau Vázquez","doi":"10.2312/vcbm.20151208","DOIUrl":"https://doi.org/10.2312/vcbm.20151208","url":null,"abstract":"Molecular Dynamics simulations are of key importance in the drug design field. Among all possible representations commonly used to inspect these simulations, Ribbons has the advantage of giving the expert a good overview of the conformation of the molecule. Although several techniques have been previously proposed to render ribbons, all of them have limitations in terms of space or calculation time, making them not suitable for real-time interaction with simulation software. In this paper we present a novel adaptive method that generates ribbons in real-time, taking advantage of the tessellation shader. The result is a fast method that requires no precomputation, and that generates high quality shapes and shading.","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"21 1","pages":"51-60"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85405625","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 Brown, D. Duce, Rachel Franklin, R. Harrison, Clare E. Martin, Marion Waite
The aim of the SWIFT project is to determine which visualisations of blood glucose-related data on mobile devices are most usable by people with insulin-dependent diabetes, to improve self-management. Such people are often advised to maintain a logbook to record glucose measurements, insulin doses and related information. Software exists for downloading and scrutinising such data, but some people find numerical data difficult to interpret. However, many people find visual data easier to understand. The question of which data visualisations would be most usable for selfmanagement is still open. This study will determine what people with diabetes and clinicians want to learn from their data, and interactive visualisations will be designed accordingly. Interaction allows the users to modify what they see and how they see it. The visualisations will be designed for small screens and tested through the development of a glucose tracking diary app. Some parameters that affect the condition are displayed in figure 1. The '?' indicates that there are open questions about which of these parameters will be of most value to users and how best to visualise them.
{"title":"SWiFT Seeing the Wood From the Trees: helping people make sense of their health data","authors":"Daniel Brown, D. Duce, Rachel Franklin, R. Harrison, Clare E. Martin, Marion Waite","doi":"10.2312/vcbm.20151226","DOIUrl":"https://doi.org/10.2312/vcbm.20151226","url":null,"abstract":"The aim of the SWIFT project is to determine which visualisations of blood glucose-related data on mobile devices are most usable by people with insulin-dependent diabetes, to improve self-management. Such people are often advised to maintain a logbook to record glucose measurements, insulin doses and related information. Software exists for downloading and scrutinising such data, but some people find numerical data difficult to interpret. However, many people find visual data easier to understand. The question of which data visualisations would be most usable for selfmanagement is still open. This study will determine what people with diabetes and clinicians want to learn from their data, and interactive visualisations will be designed accordingly. Interaction allows the users to modify what they see and how they see it. The visualisations will be designed for small screens and tested through the development of a glucose tracking diary app. Some parameters that affect the condition are displayed in figure 1. The '?' indicates that there are open questions about which of these parameters will be of most value to users and how best to visualise them.","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"19 1","pages":"209"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90255650","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}
David Major, A. A. Novikov, M. Wimmer, J. Hladůvka, K. Bühler
Automated identification of main arteries in Computed Tomography Angiography (CTA) scans plays a key role in the initialization of vessel tracking algorithms. Automated vessel tracking tools support physicians in vessel analysis and make their workflow time-efficient. We present a fully-automated framework for identification of five main arteries of three different body regions in various field-of-view CTA scans. Our method detects the two common iliac arteries, the aorta and the two common carotid arteries and delivers seed positions in them. After the field-of-view of a CTA scan is identified, artery candidate positions are regressed slice-wise and the best candidates are selected by Naive Bayes classification. Final artery seed positions are detected by picking the most optimal path over the artery classification results from slice to slice. Our method was evaluated on 20 CTA scans with various field-of-views. The high detection performance on different arteries shows its generality and future applicability for automated vessel analysis systems.
{"title":"Automated Slice-Based Artery Identification in Various Field-of-View CTA Scans","authors":"David Major, A. A. Novikov, M. Wimmer, J. Hladůvka, K. Bühler","doi":"10.2312/vcbm.20151215","DOIUrl":"https://doi.org/10.2312/vcbm.20151215","url":null,"abstract":"Automated identification of main arteries in Computed Tomography Angiography (CTA) scans plays a key role in the initialization of vessel tracking algorithms. Automated vessel tracking tools support physicians in vessel analysis and make their workflow time-efficient. We present a fully-automated framework for identification of five main arteries of three different body regions in various field-of-view CTA scans. Our method detects the two common iliac arteries, the aorta and the two common carotid arteries and delivers seed positions in them. After the field-of-view of a CTA scan is identified, artery candidate positions are regressed slice-wise and the best candidates are selected by Naive Bayes classification. Final artery seed positions are detected by picking the most optimal path over the artery classification results from slice to slice. Our method was evaluated on 20 CTA scans with various field-of-views. The high detection performance on different arteries shows its generality and future applicability for automated vessel analysis systems.","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"21 1","pages":"123-129"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88584371","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}
Alejandro Granados, James Bryan, Taha Abdalla, Genevieve Osborne, F. Bello
Dermatology is under-represented in medical undergraduate education with newly graduated doctors not being able to identify common and important skin conditions. In order to become competent in diagnosing skin lesions, it is important to encounter multiple examples of a condition, as they vary between individuals. Three popular lesions have been identified due to their importance, including nodular melanoma, seborrhoeic keratosis and cherry haemangioma. In this paper we propose a haptics-enabled learning tool for pigmented skin lesions based on haptic texturing. Geometrical modelling, skin deformation and haptics modelling are described. Results of the implementation are presented along with an initial validation study comparing the haptics-based simulator with other methods, including temporary tattoos and silicon made models.
{"title":"Haptics-based Modelling of Pigmented Skin Lesions","authors":"Alejandro Granados, James Bryan, Taha Abdalla, Genevieve Osborne, F. Bello","doi":"10.2312/vcbm.20151219","DOIUrl":"https://doi.org/10.2312/vcbm.20151219","url":null,"abstract":"Dermatology is under-represented in medical undergraduate education with newly graduated doctors not being able to identify common and important skin conditions. In order to become competent in diagnosing skin lesions, it is important to encounter multiple examples of a condition, as they vary between individuals. Three popular lesions have been identified due to their importance, including nodular melanoma, seborrhoeic keratosis and cherry haemangioma. In this paper we propose a haptics-enabled learning tool for pigmented skin lesions based on haptic texturing. Geometrical modelling, skin deformation and haptics modelling are described. Results of the implementation are presented along with an initial validation study comparing the haptics-based simulator with other methods, including temporary tattoos and silicon made models.","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"24 1","pages":"159-165"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82881739","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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